SlideShare uma empresa Scribd logo
1 de 36
Video Compression
   Techniques
Fundamentals of Video
       Compression

• Introduction to Digital Video
• Basic Compression Techniques
• Still Image Compression
Techniques - JPEG
• Video Compression
Factors Associated with
            Compression
The goal of video compression is to massively reduce
the amount of data required to store the digital
video file, while retaining the quality of the
original video


# Real-Time versus Non-Real-Time
# Symmetrical versus Asymmetrical
# Compression Ratios
# Lossless versus Lossy
# Interframe versus Intraframe
# Bit Rate Control
Lossless vs. Lossy Compression
• In lossless compression, data is not altered or lost
in the process
of compression or decompression
• Some examples of lossless standards are:
— Run-Length Encoding
— Dynamic Pattern Substitution - Lampel-Ziv
Encoding
— Huffman Encoding
• Lossy compression is used for compressing
audio, pictures, video
• Some examples are:
— JPEG
— MPEG
— H.261 (Px64) Video Coding Algorithm
Real-Time V/s Non-Real-Time
Some compression systems capture, compress to disk, decompress and
play back video (30 frames per second) all in real time; there are no
delays.

Other systems are only capable of capturing some of the 30 frames per
second and/or are only capable of playing back some of the frames.

Insufficient frame rate is one of the most noticeable video deficiencies.

Without a minimum of 24 frames per second, the video will be noticeably
jerky. In addition, the missing frames will contain extremely important
lip synchronisation data.

If the movement of a person's lips is missing due to dropped frames
during capture or playback, it is impossible to match the audio correctly
with the video.
Symmetrical V/s Asymmetrical
This refers to how video images are compressed and decompressed.
Symmetrical compression means that if you can play back a
sequence of 640 by 480 video at 30 frames per second, then you can
also capture, compress and store it at that rate.

Asymmetrical compression means just the opposite. The degree of
asymmetry is usually expressed as a ratio. A ratio of 150:1 means it
takes approximately 150 minutes to compress one minute of video.

Asymmetrical compression can sometimes be more elaborate and
more efficient for quality and speed at playback because it uses so
much more time to compress the video.

The two big drawbacks to asymmetrical compression are that it takes
a lot longer, and often you must send the source material out to a
dedicated compression company for encoding
Compression Ratio
The compression ratio relates the numerical representation of
the original video in comparison to the compressed video.
For example, 200:1 compression ratio means that the
original video is represented by the number 200. In
comparison, the compressed video is represented by the
smaller number, in this case, that is 1.
With MPEG, compression ratios of 100:1 are common, with
good image quality.
Motion JPEG provides ratios ranging from 15:1 to
80:1, although 20:1 is about the maximum for maintaining a
good quality image.
Interframe V/s Intraframe
One of the most powerful techniques for compressing video is
interframe compression. Interframe compression uses one or more
earlier or later frames in a sequence to compress the current
frame, while intraframe compression uses only the current
frame, which is effectively image compression.

Since interframe compression copies data from one frame to
another, if the original frame is simply cut out (or lost in
transmission), the following frames cannot be reconstructed properly.

Making 'cuts' in intraframe-compressed video is almost as easy as
editing uncompressed video — one finds the beginning and ending of
each frame, and simply copies bit-for-bit each frame that one wants to
keep, and discards the frames one doesn't want.

Another difference between intraframe and interframe compression is
that with intraframe systems, each frame uses a similar amount of
data.
Bit Rate Control
A good compression system should allow the user
to instruct the compression hardware and
software which parameters are most important.


 In some applications, frame rate may be of
paramount importance, while frame size is not.


In other applications, you may not care if the
frame rate drops below 15 frames per second, but
the quality of those frames must be of very good.
Introduction to Digital Video
• Video is a stream of data composed of discrete frames,
containing both audio and pictures
• Continuous motion produced at a frame rate of 15 fps or
higher
• Traditional movies run at 24 fps
• TV standard in USA (NTSC) uses ≈ 30 fps
With digital video, four factors have to be kept in mind.
# Frame rate
# Colour Resolution
# Spatial Resolution
# Image Quality
Frame Rate
The standard for displaying any type of non-film video is 30 frames per

second (film is 24 frames per second). Additionally these frames are split in

half (odd lines and even lines), to form what are called fields.

When a television set displays its analogue video signal, it displays the odd

lines (the odd field) first. Then is displays the even lines (the even field).

Each pair forms a frame and there are 60 of these fields displayed every

second (or 30 frames per second). This is referred to as interlaced video.




  Fragment of the "matrix"             After processing the fragment on the left by the
     sequence (2 frames)               FRC filter the frame rate increased 4 times
Colour Resolution
This second factor is a bit more complex. Colour resolution
refers to the number of colours displayed on the screen at one
time. Computers deal with colour in an RGB (red-green-blue)
format, while video uses a variety of formats. One of the most
common video formats is called YUV.


                         This test table was used to
                         estimate the color resolution.
                         First we determine the border
                         when one of the colors on the
                         resolution chart disappears, and
                         color sharpness is found on the
                         scale on the right.
Spatial Resolution
The third factor is spatial resolution - or in other words, "How big is the
picture?". Since PC and Macintosh computers generally have resolutions
in excess of 640 by 480,

The National Television Standards Committee ( NTSC) standard used in
North America and Japanese Television uses a 768 by 484 display.

The Phase Alternative system (PAL) standard for European television is
slightly larger at 768 by 576.

                                           Spatial resolution is a parameter
                                           that shows how many pixels are used
                                           to represent a real object in digital
                                           form. Fig. 2 shows the same color
                                           image represented by different
                                           spatial resolution. Left flower have a
                                           much better resolution that right
                                           one
Image quality
The final objective is video that looks acceptable for your
application.
For some this may be 1/4 screen, 15 frames per second
(fps), at 8 bits per pixel.
Other require a full screen (768 by 484), full frame rate
video, at 24 bits per pixel (16.7 million colours).
MPEG Compression
 Compression through
    Spatial
    Temporal
Spatial Redundancy
 Take advantage of similarity among
 most neighboring pixels
Spatial Redundancy Reduction
 RGB to YUV
     less information required for YUV (humans less
       sensitive to chrominance)
   Macro Blocks
      Take groups of pixels (16x16)
   Discrete Cosine Transformation (DCT)
      Based on Fourier analysis where represent
       signal as sum of sine's and cosine‟s
      Concentrates on higher-frequency values
      Represent pixels in blocks with fewer numbers
   Quantization
      Reduce data required for co-efficients
   Entropy coding
      Compress
Spatial Redundancy Reduction




                                  “Intra-Frame
                                    Encoded”


 Quantization         Zig-Zag
 • major reduction      Scan,
 • controls          Run-length
 „quality‟             coding
Loss of Resolution
       Original (63 kb)


                 Low (7kb)




                          Very Low (4 kb)
Temporal Redundancy
 Take advantage of similarity between
 successive frames




    950              951     952
Temporal Activity




      “Talking Head”
Temporal Redundancy
     Reduction
Temporal Redundancy Reduction




• I frames are independently encoded
• P frames are based on previous I, P frames
   – Can send motion vector plus changes
• B frames are based on previous and following I
  and P frames
   – In case something is uncovered
Group of Pictures (GOP)
• Starts with an I-frame
• Ends with frame right before next I-
  frame
• “Open” ends in B-frame, “Closed” in P-
  frame
  – (What is the difference?)
• MPEG Encoding a parameter, but
  „typical‟:
  –IBBPBBPBBI
  –IBBPBBPBBPBBI
• Why not have all P and B frames after
 initial I?
Typical MPEG Parameters
Typical Compress. Performance
   Type Size Compression
    ---------------------
      I 18 KB 7:1
      P    6 KB 20:1
      B 2.5 KB 50:1
     Avg 4.8 KB 27:1
    ---------------------
  Note, results are Variable Bit
  Rate, even if frame rate is
  constant
MPEG (Moving Picture Expert Group)
MPEG was set standard for Audio and Video compression and transmission

MPEG-1 is a standard for lossy compression of video and audio. It is designed to compress

VHS-quality raw digital video and CD audio down to 1.5 Mbit/s (26:1 and 6:1

compression ratios respectively) without excessive quality loss, making Video CDs, digital

cable/satellite TV and digital audio broadcasting (DAB) possible.

MPEG-1 has become the most widely compatible lossy audio/video format in the

world, and is used in a large number of products and technologies.

The best-known part of the MPEG-1 standard is the MP3 audio format .

The standard consists of the following five Parts:

1. Systems (storage and synchronization of video, audio, and other data together)

2. Video (compressed video content)

3. Audio (compressed audio content)

4. Conformance testing & 5. reference software
MPEG-2
was designed for coding interlaced images at transmission
rates above 4 million bits per second.
MPEG 2 can be used on HD-DVD and blue ray disc.
handles 5 audio channels,
Covers wider range of frame sizes (HDTV).
Provides resolution 720*480 and 1280*720 at 60 fps with full
CD quality audio used by DVD-ROM.
MPEG-2 can compress 2 hours video into a few GHz.
MPEG-2 is used for digital TV broadcast and DVD.
 An MPEG-2 is designed to offer higher quality than MPEG-
1, at a higher bandwidth (between 4 and 10 Mbit/s).
The scheme is very similar to MPEG-1, and scalable.
MPEG-3

Designed to handle HDTV signal in
range 20 to 40 Mbits/sec.
HDTV-resolution is 1920* 1080*30 Hz
But MPEG-2 was fully capable of
handling HDTV so MPEG -3 is no longer
mentioned.
MPEG-4
MPEG-4 is a collection of methods defining compression of
audio and visual (AV) digital data.
MPEG-4 absorbs many of the features of MPEG-1 and MPEG-2
and other related standards, Wavelength band MPEG-4 files
are smaller than JPEG. so they transmit video and images
over narrower bandwidth and can mix video with text
graphics and 2D and 3D animation layers.
MPEG-4 provides a series of technolgies for developers for
various service providers and end users.
SP use for data transparency
Helps end users with wide range of interaction with animated
objects.
MPEG-4 multiplexes and synchronizes data .
Interaction with audio visual scene.
MPEG-7
MPEG-7 is a content representation standard for information search.
It is also titled Multimedia Content Description Interface.
It will define the manner in which audiovisual materials can be coded and
classified so the materials can be easily located using search engines just as
search engines are used to locate text-based information
. Music, art, line drawings, photos, and videos are examples of the kinds of
materials that will become searchable based on descriptive language defined
by MPEG-7.
  * Provide a fast and efficient searching, filtering and content identification
method.
  * Describe main issues about the content (low-level
characteristics, structure, models, collections, etc.).
  * Index a big range of applications.
  * Audiovisual information that MPEG-7 deals is :
Audio, voice, video, images, graphs and 3D models
  * Inform about how objects are combined in a scene.
  * Independence between description and the information itself.
MPEG-7 applications
  * Digital library: Image/video catalogue, musical
dictionary.
  * Multimedia directory services: e.g. yellow pages.
  * Broadcast media selection: Radio channel, TV channel.
  * Multimedia editing: Personalized electronic news
service, media authoring.
  * Security services: Traffic control, production chains...
  * E-business: Searching process of products.
  * Cultural services: Art-galleries, museums...
  * Educational applications.
  * Biomedical applications.
Still Image Compression - JPEG

• Defined by Joint Photographic Experts Group
• Released as an ISO standard for still color and gray-scale
images
• Provides four modes of operation:
— Sequential (each pixel is traversed only once)
— progressive (image gets progressively sharper)
— Hierarchical (image compressed to multiple
resolutions)
— lossless (full detail at selected resolution)

Definitions in the JPEG Standard
Three levels of definition:
• Baseline system (every codec must implement it)
• Extended system (methods to extend the baseline system)
• Special lossless function (ensures lossless compression/
decompression)
H.261 (Px64)
• H.261 was designed for datarates which
are multiples of
64Kbit/s, and is sometimes called p x
64Kbit/s (p is in the
range 1-30).
•These datarates suit ISDN lines, for which
this video codec
was designed for
• Intended for videophone and video
conferencing systems
H.263 Standard
•The development of modems allowing
transmission in the
range of 28-33 kbps paved the way for the
development of an
improved version of H.261
• It was designed for low bitrate
communication , however this
limitationhas now been removed
• It is expected that H.263 will replace H.261
Prepared by:
Saurabh Verma
B.Tech Vth Sem.
      CSE
       12

Mais conteúdo relacionado

Mais procurados

Arithmetic coding
Arithmetic codingArithmetic coding
Arithmetic codingVikas Goyal
 
Predictive coding
Predictive codingPredictive coding
Predictive codingp_ayal
 
digital image processing
digital image processingdigital image processing
digital image processingAbinaya B
 
Wavelet based image compression technique
Wavelet based image compression techniqueWavelet based image compression technique
Wavelet based image compression techniquePriyanka Pachori
 
Compression: Video Compression (MPEG and others)
Compression: Video Compression (MPEG and others)Compression: Video Compression (MPEG and others)
Compression: Video Compression (MPEG and others)danishrafiq
 
Video compression
Video compressionVideo compression
Video compressionnnmaurya
 
Video signal-ppt
Video signal-pptVideo signal-ppt
Video signal-pptDeepa K C
 
Multimedia basic video compression techniques
Multimedia basic video compression techniquesMultimedia basic video compression techniques
Multimedia basic video compression techniquesMazin Alwaaly
 
Transform coding
Transform codingTransform coding
Transform codingNancy K
 
Video compression
Video compressionVideo compression
Video compressionDarkNight14
 
Multimedia software tools
Multimedia software toolsMultimedia software tools
Multimedia software toolsJay Patel
 
Data Communication And Networking - DATA RATE LIMITS
Data Communication And Networking - DATA RATE LIMITSData Communication And Networking - DATA RATE LIMITS
Data Communication And Networking - DATA RATE LIMITSAvijeet Negel
 
Image Enhancement in Spatial Domain
Image Enhancement in Spatial DomainImage Enhancement in Spatial Domain
Image Enhancement in Spatial DomainDEEPASHRI HK
 

Mais procurados (20)

Arithmetic coding
Arithmetic codingArithmetic coding
Arithmetic coding
 
Mpeg 2
Mpeg 2Mpeg 2
Mpeg 2
 
Predictive coding
Predictive codingPredictive coding
Predictive coding
 
digital image processing
digital image processingdigital image processing
digital image processing
 
Wavelet based image compression technique
Wavelet based image compression techniqueWavelet based image compression technique
Wavelet based image compression technique
 
Compression: Video Compression (MPEG and others)
Compression: Video Compression (MPEG and others)Compression: Video Compression (MPEG and others)
Compression: Video Compression (MPEG and others)
 
Video compression
Video compressionVideo compression
Video compression
 
Video signal-ppt
Video signal-pptVideo signal-ppt
Video signal-ppt
 
Multimedia basic video compression techniques
Multimedia basic video compression techniquesMultimedia basic video compression techniques
Multimedia basic video compression techniques
 
Image Compression
Image CompressionImage Compression
Image Compression
 
Image compression .
Image compression .Image compression .
Image compression .
 
Transform coding
Transform codingTransform coding
Transform coding
 
Video Compression
Video CompressionVideo Compression
Video Compression
 
H261
H261H261
H261
 
Frame buffer
Frame bufferFrame buffer
Frame buffer
 
Video compression
Video compressionVideo compression
Video compression
 
Multimedia software tools
Multimedia software toolsMultimedia software tools
Multimedia software tools
 
Image segmentation
Image segmentationImage segmentation
Image segmentation
 
Data Communication And Networking - DATA RATE LIMITS
Data Communication And Networking - DATA RATE LIMITSData Communication And Networking - DATA RATE LIMITS
Data Communication And Networking - DATA RATE LIMITS
 
Image Enhancement in Spatial Domain
Image Enhancement in Spatial DomainImage Enhancement in Spatial Domain
Image Enhancement in Spatial Domain
 

Destaque

Standards De Compression Audio Et VidéO
Standards De Compression Audio Et VidéOStandards De Compression Audio Et VidéO
Standards De Compression Audio Et VidéObriantais
 
MPEG Compression Standards
MPEG Compression StandardsMPEG Compression Standards
MPEG Compression StandardsAjay
 
MPEG-1 Part 2 Video Encoding
MPEG-1 Part 2 Video EncodingMPEG-1 Part 2 Video Encoding
MPEG-1 Part 2 Video EncodingChristian Kehl
 
video_compression_2004
video_compression_2004video_compression_2004
video_compression_2004aniruddh Tyagi
 
Introduction To Video Compression
Introduction To Video CompressionIntroduction To Video Compression
Introduction To Video Compressionguestdd7ccca
 
Video Compression Techniques
Video Compression TechniquesVideo Compression Techniques
Video Compression Techniquescnssources
 
Compression presentation 415 (1)
Compression presentation 415 (1)Compression presentation 415 (1)
Compression presentation 415 (1)Godo Dodo
 
28 h 264-avc_by_dhchang
28   h 264-avc_by_dhchang28   h 264-avc_by_dhchang
28 h 264-avc_by_dhchangBadri Patro
 
Hw3 0972552
Hw3 0972552Hw3 0972552
Hw3 0972552s0972552
 
Iain Richardson: An Introduction to Video Compression
Iain Richardson: An Introduction to Video CompressionIain Richardson: An Introduction to Video Compression
Iain Richardson: An Introduction to Video CompressionIain Richardson
 
MPEG video compression standard
MPEG video compression standardMPEG video compression standard
MPEG video compression standardanuragjagetiya
 
Video Compression Basics
Video Compression BasicsVideo Compression Basics
Video Compression BasicsSanjiv Malik
 

Destaque (17)

Standards De Compression Audio Et VidéO
Standards De Compression Audio Et VidéOStandards De Compression Audio Et VidéO
Standards De Compression Audio Et VidéO
 
MPEG Compression Standards
MPEG Compression StandardsMPEG Compression Standards
MPEG Compression Standards
 
MPEG-1 Part 2 Video Encoding
MPEG-1 Part 2 Video EncodingMPEG-1 Part 2 Video Encoding
MPEG-1 Part 2 Video Encoding
 
video_compression_2004
video_compression_2004video_compression_2004
video_compression_2004
 
Introduction To Video Compression
Introduction To Video CompressionIntroduction To Video Compression
Introduction To Video Compression
 
Video Compression Techniques
Video Compression TechniquesVideo Compression Techniques
Video Compression Techniques
 
Compression presentation 415 (1)
Compression presentation 415 (1)Compression presentation 415 (1)
Compression presentation 415 (1)
 
28 h 264-avc_by_dhchang
28   h 264-avc_by_dhchang28   h 264-avc_by_dhchang
28 h 264-avc_by_dhchang
 
Chap55
Chap55Chap55
Chap55
 
ISDD Video Compression
ISDD Video CompressionISDD Video Compression
ISDD Video Compression
 
Hw2
Hw2Hw2
Hw2
 
MPEG/Audio Compression
MPEG/Audio CompressionMPEG/Audio Compression
MPEG/Audio Compression
 
Hw3 0972552
Hw3 0972552Hw3 0972552
Hw3 0972552
 
Iain Richardson: An Introduction to Video Compression
Iain Richardson: An Introduction to Video CompressionIain Richardson: An Introduction to Video Compression
Iain Richardson: An Introduction to Video Compression
 
MPEG video compression standard
MPEG video compression standardMPEG video compression standard
MPEG video compression standard
 
Video Compression Basics
Video Compression BasicsVideo Compression Basics
Video Compression Basics
 
Compression
CompressionCompression
Compression
 

Semelhante a video compression techique

Semelhante a video compression techique (20)

Johnny's work
Johnny's workJohnny's work
Johnny's work
 
simple video compression
simple video compression simple video compression
simple video compression
 
Ha1 task one
Ha1   task oneHa1   task one
Ha1 task one
 
Glossary
Glossary Glossary
Glossary
 
2
22
2
 
Digital Video 101.ppt
Digital Video 101.pptDigital Video 101.ppt
Digital Video 101.ppt
 
Multimedia Presentation
Multimedia PresentationMultimedia Presentation
Multimedia Presentation
 
video comparison
video comparison video comparison
video comparison
 
Motion graphics glossary
Motion graphics glossaryMotion graphics glossary
Motion graphics glossary
 
Glossary
GlossaryGlossary
Glossary
 
Vste r2
Vste r2Vste r2
Vste r2
 
Multimedia applications
Multimedia applicationsMultimedia applications
Multimedia applications
 
Video00.ppt
Video00.pptVideo00.ppt
Video00.ppt
 
CHAPTER – 6 Video
CHAPTER – 6    VideoCHAPTER – 6    Video
CHAPTER – 6 Video
 
Tech report
Tech reportTech report
Tech report
 
Screen ratios, frame rate, video forats, compression
Screen ratios, frame rate, video forats, compressionScreen ratios, frame rate, video forats, compression
Screen ratios, frame rate, video forats, compression
 
Glossary
GlossaryGlossary
Glossary
 
Glossary
GlossaryGlossary
Glossary
 
Image compression 14_04_2020 (1)
Image compression 14_04_2020 (1)Image compression 14_04_2020 (1)
Image compression 14_04_2020 (1)
 
85 videocompress
85 videocompress85 videocompress
85 videocompress
 

Mais de Ashish Kumar

Computer architecture
Computer architecture Computer architecture
Computer architecture Ashish Kumar
 
Introduction vision
Introduction visionIntroduction vision
Introduction visionAshish Kumar
 
Introduction image processing
Introduction image processingIntroduction image processing
Introduction image processingAshish Kumar
 
Image pre processing-restoration
Image pre processing-restorationImage pre processing-restoration
Image pre processing-restorationAshish Kumar
 
Image pre processing
Image pre processingImage pre processing
Image pre processingAshish Kumar
 
Image pre processing - local processing
Image pre processing - local processingImage pre processing - local processing
Image pre processing - local processingAshish Kumar
 
Enhancement in spatial domain
Enhancement in spatial domainEnhancement in spatial domain
Enhancement in spatial domainAshish Kumar
 
Enhancement in frequency domain
Enhancement in frequency domainEnhancement in frequency domain
Enhancement in frequency domainAshish Kumar
 
Digitized images and
Digitized images andDigitized images and
Digitized images andAshish Kumar
 
process management
 process management process management
process managementAshish Kumar
 
resource management
  resource management  resource management
resource managementAshish Kumar
 
distributed shared memory
 distributed shared memory distributed shared memory
distributed shared memoryAshish Kumar
 
remote procedure calls
  remote procedure calls  remote procedure calls
remote procedure callsAshish Kumar
 
Introduction image processing
Introduction image processingIntroduction image processing
Introduction image processingAshish Kumar
 

Mais de Ashish Kumar (20)

Computer architecture
Computer architecture Computer architecture
Computer architecture
 
Lecture2 color
Lecture2 colorLecture2 color
Lecture2 color
 
Introduction vision
Introduction visionIntroduction vision
Introduction vision
 
Introduction image processing
Introduction image processingIntroduction image processing
Introduction image processing
 
Image pre processing-restoration
Image pre processing-restorationImage pre processing-restoration
Image pre processing-restoration
 
Image pre processing
Image pre processingImage pre processing
Image pre processing
 
Image pre processing - local processing
Image pre processing - local processingImage pre processing - local processing
Image pre processing - local processing
 
Enhancement in spatial domain
Enhancement in spatial domainEnhancement in spatial domain
Enhancement in spatial domain
 
Enhancement in frequency domain
Enhancement in frequency domainEnhancement in frequency domain
Enhancement in frequency domain
 
Digitized images and
Digitized images andDigitized images and
Digitized images and
 
Data structures
Data structuresData structures
Data structures
 
Lecture2 light
Lecture2 lightLecture2 light
Lecture2 light
 
process management
 process management process management
process management
 
resource management
  resource management  resource management
resource management
 
distributed shared memory
 distributed shared memory distributed shared memory
distributed shared memory
 
message passing
 message passing message passing
message passing
 
remote procedure calls
  remote procedure calls  remote procedure calls
remote procedure calls
 
color
colorcolor
color
 
Introduction image processing
Introduction image processingIntroduction image processing
Introduction image processing
 
system design
system designsystem design
system design
 

Último

Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 

Último (20)

Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 

video compression techique

  • 1. Video Compression Techniques
  • 2. Fundamentals of Video Compression • Introduction to Digital Video • Basic Compression Techniques • Still Image Compression Techniques - JPEG • Video Compression
  • 3. Factors Associated with Compression The goal of video compression is to massively reduce the amount of data required to store the digital video file, while retaining the quality of the original video # Real-Time versus Non-Real-Time # Symmetrical versus Asymmetrical # Compression Ratios # Lossless versus Lossy # Interframe versus Intraframe # Bit Rate Control
  • 4. Lossless vs. Lossy Compression • In lossless compression, data is not altered or lost in the process of compression or decompression • Some examples of lossless standards are: — Run-Length Encoding — Dynamic Pattern Substitution - Lampel-Ziv Encoding — Huffman Encoding • Lossy compression is used for compressing audio, pictures, video • Some examples are: — JPEG — MPEG — H.261 (Px64) Video Coding Algorithm
  • 5. Real-Time V/s Non-Real-Time Some compression systems capture, compress to disk, decompress and play back video (30 frames per second) all in real time; there are no delays. Other systems are only capable of capturing some of the 30 frames per second and/or are only capable of playing back some of the frames. Insufficient frame rate is one of the most noticeable video deficiencies. Without a minimum of 24 frames per second, the video will be noticeably jerky. In addition, the missing frames will contain extremely important lip synchronisation data. If the movement of a person's lips is missing due to dropped frames during capture or playback, it is impossible to match the audio correctly with the video.
  • 6. Symmetrical V/s Asymmetrical This refers to how video images are compressed and decompressed. Symmetrical compression means that if you can play back a sequence of 640 by 480 video at 30 frames per second, then you can also capture, compress and store it at that rate. Asymmetrical compression means just the opposite. The degree of asymmetry is usually expressed as a ratio. A ratio of 150:1 means it takes approximately 150 minutes to compress one minute of video. Asymmetrical compression can sometimes be more elaborate and more efficient for quality and speed at playback because it uses so much more time to compress the video. The two big drawbacks to asymmetrical compression are that it takes a lot longer, and often you must send the source material out to a dedicated compression company for encoding
  • 7. Compression Ratio The compression ratio relates the numerical representation of the original video in comparison to the compressed video. For example, 200:1 compression ratio means that the original video is represented by the number 200. In comparison, the compressed video is represented by the smaller number, in this case, that is 1. With MPEG, compression ratios of 100:1 are common, with good image quality. Motion JPEG provides ratios ranging from 15:1 to 80:1, although 20:1 is about the maximum for maintaining a good quality image.
  • 8. Interframe V/s Intraframe One of the most powerful techniques for compressing video is interframe compression. Interframe compression uses one or more earlier or later frames in a sequence to compress the current frame, while intraframe compression uses only the current frame, which is effectively image compression. Since interframe compression copies data from one frame to another, if the original frame is simply cut out (or lost in transmission), the following frames cannot be reconstructed properly. Making 'cuts' in intraframe-compressed video is almost as easy as editing uncompressed video — one finds the beginning and ending of each frame, and simply copies bit-for-bit each frame that one wants to keep, and discards the frames one doesn't want. Another difference between intraframe and interframe compression is that with intraframe systems, each frame uses a similar amount of data.
  • 9. Bit Rate Control A good compression system should allow the user to instruct the compression hardware and software which parameters are most important. In some applications, frame rate may be of paramount importance, while frame size is not. In other applications, you may not care if the frame rate drops below 15 frames per second, but the quality of those frames must be of very good.
  • 10. Introduction to Digital Video • Video is a stream of data composed of discrete frames, containing both audio and pictures • Continuous motion produced at a frame rate of 15 fps or higher • Traditional movies run at 24 fps • TV standard in USA (NTSC) uses ≈ 30 fps With digital video, four factors have to be kept in mind. # Frame rate # Colour Resolution # Spatial Resolution # Image Quality
  • 11. Frame Rate The standard for displaying any type of non-film video is 30 frames per second (film is 24 frames per second). Additionally these frames are split in half (odd lines and even lines), to form what are called fields. When a television set displays its analogue video signal, it displays the odd lines (the odd field) first. Then is displays the even lines (the even field). Each pair forms a frame and there are 60 of these fields displayed every second (or 30 frames per second). This is referred to as interlaced video. Fragment of the "matrix" After processing the fragment on the left by the sequence (2 frames) FRC filter the frame rate increased 4 times
  • 12. Colour Resolution This second factor is a bit more complex. Colour resolution refers to the number of colours displayed on the screen at one time. Computers deal with colour in an RGB (red-green-blue) format, while video uses a variety of formats. One of the most common video formats is called YUV. This test table was used to estimate the color resolution. First we determine the border when one of the colors on the resolution chart disappears, and color sharpness is found on the scale on the right.
  • 13. Spatial Resolution The third factor is spatial resolution - or in other words, "How big is the picture?". Since PC and Macintosh computers generally have resolutions in excess of 640 by 480, The National Television Standards Committee ( NTSC) standard used in North America and Japanese Television uses a 768 by 484 display. The Phase Alternative system (PAL) standard for European television is slightly larger at 768 by 576. Spatial resolution is a parameter that shows how many pixels are used to represent a real object in digital form. Fig. 2 shows the same color image represented by different spatial resolution. Left flower have a much better resolution that right one
  • 14. Image quality The final objective is video that looks acceptable for your application. For some this may be 1/4 screen, 15 frames per second (fps), at 8 bits per pixel. Other require a full screen (768 by 484), full frame rate video, at 24 bits per pixel (16.7 million colours).
  • 15. MPEG Compression  Compression through  Spatial  Temporal
  • 16. Spatial Redundancy  Take advantage of similarity among most neighboring pixels
  • 17. Spatial Redundancy Reduction  RGB to YUV  less information required for YUV (humans less sensitive to chrominance)  Macro Blocks  Take groups of pixels (16x16)  Discrete Cosine Transformation (DCT)  Based on Fourier analysis where represent signal as sum of sine's and cosine‟s  Concentrates on higher-frequency values  Represent pixels in blocks with fewer numbers  Quantization  Reduce data required for co-efficients  Entropy coding  Compress
  • 18. Spatial Redundancy Reduction “Intra-Frame Encoded” Quantization Zig-Zag • major reduction Scan, • controls Run-length „quality‟ coding
  • 19. Loss of Resolution Original (63 kb) Low (7kb) Very Low (4 kb)
  • 20. Temporal Redundancy  Take advantage of similarity between successive frames 950 951 952
  • 21. Temporal Activity “Talking Head”
  • 22. Temporal Redundancy Reduction
  • 23. Temporal Redundancy Reduction • I frames are independently encoded • P frames are based on previous I, P frames – Can send motion vector plus changes • B frames are based on previous and following I and P frames – In case something is uncovered
  • 24. Group of Pictures (GOP) • Starts with an I-frame • Ends with frame right before next I- frame • “Open” ends in B-frame, “Closed” in P- frame – (What is the difference?) • MPEG Encoding a parameter, but „typical‟: –IBBPBBPBBI –IBBPBBPBBPBBI • Why not have all P and B frames after initial I?
  • 26. Typical Compress. Performance Type Size Compression --------------------- I 18 KB 7:1 P 6 KB 20:1 B 2.5 KB 50:1 Avg 4.8 KB 27:1 --------------------- Note, results are Variable Bit Rate, even if frame rate is constant
  • 27. MPEG (Moving Picture Expert Group) MPEG was set standard for Audio and Video compression and transmission MPEG-1 is a standard for lossy compression of video and audio. It is designed to compress VHS-quality raw digital video and CD audio down to 1.5 Mbit/s (26:1 and 6:1 compression ratios respectively) without excessive quality loss, making Video CDs, digital cable/satellite TV and digital audio broadcasting (DAB) possible. MPEG-1 has become the most widely compatible lossy audio/video format in the world, and is used in a large number of products and technologies. The best-known part of the MPEG-1 standard is the MP3 audio format . The standard consists of the following five Parts: 1. Systems (storage and synchronization of video, audio, and other data together) 2. Video (compressed video content) 3. Audio (compressed audio content) 4. Conformance testing & 5. reference software
  • 28. MPEG-2 was designed for coding interlaced images at transmission rates above 4 million bits per second. MPEG 2 can be used on HD-DVD and blue ray disc. handles 5 audio channels, Covers wider range of frame sizes (HDTV). Provides resolution 720*480 and 1280*720 at 60 fps with full CD quality audio used by DVD-ROM. MPEG-2 can compress 2 hours video into a few GHz. MPEG-2 is used for digital TV broadcast and DVD.  An MPEG-2 is designed to offer higher quality than MPEG- 1, at a higher bandwidth (between 4 and 10 Mbit/s). The scheme is very similar to MPEG-1, and scalable.
  • 29. MPEG-3 Designed to handle HDTV signal in range 20 to 40 Mbits/sec. HDTV-resolution is 1920* 1080*30 Hz But MPEG-2 was fully capable of handling HDTV so MPEG -3 is no longer mentioned.
  • 30. MPEG-4 MPEG-4 is a collection of methods defining compression of audio and visual (AV) digital data. MPEG-4 absorbs many of the features of MPEG-1 and MPEG-2 and other related standards, Wavelength band MPEG-4 files are smaller than JPEG. so they transmit video and images over narrower bandwidth and can mix video with text graphics and 2D and 3D animation layers. MPEG-4 provides a series of technolgies for developers for various service providers and end users. SP use for data transparency Helps end users with wide range of interaction with animated objects. MPEG-4 multiplexes and synchronizes data . Interaction with audio visual scene.
  • 31. MPEG-7 MPEG-7 is a content representation standard for information search. It is also titled Multimedia Content Description Interface. It will define the manner in which audiovisual materials can be coded and classified so the materials can be easily located using search engines just as search engines are used to locate text-based information . Music, art, line drawings, photos, and videos are examples of the kinds of materials that will become searchable based on descriptive language defined by MPEG-7. * Provide a fast and efficient searching, filtering and content identification method. * Describe main issues about the content (low-level characteristics, structure, models, collections, etc.). * Index a big range of applications. * Audiovisual information that MPEG-7 deals is : Audio, voice, video, images, graphs and 3D models * Inform about how objects are combined in a scene. * Independence between description and the information itself.
  • 32. MPEG-7 applications * Digital library: Image/video catalogue, musical dictionary. * Multimedia directory services: e.g. yellow pages. * Broadcast media selection: Radio channel, TV channel. * Multimedia editing: Personalized electronic news service, media authoring. * Security services: Traffic control, production chains... * E-business: Searching process of products. * Cultural services: Art-galleries, museums... * Educational applications. * Biomedical applications.
  • 33. Still Image Compression - JPEG • Defined by Joint Photographic Experts Group • Released as an ISO standard for still color and gray-scale images • Provides four modes of operation: — Sequential (each pixel is traversed only once) — progressive (image gets progressively sharper) — Hierarchical (image compressed to multiple resolutions) — lossless (full detail at selected resolution) Definitions in the JPEG Standard Three levels of definition: • Baseline system (every codec must implement it) • Extended system (methods to extend the baseline system) • Special lossless function (ensures lossless compression/ decompression)
  • 34. H.261 (Px64) • H.261 was designed for datarates which are multiples of 64Kbit/s, and is sometimes called p x 64Kbit/s (p is in the range 1-30). •These datarates suit ISDN lines, for which this video codec was designed for • Intended for videophone and video conferencing systems
  • 35. H.263 Standard •The development of modems allowing transmission in the range of 28-33 kbps paved the way for the development of an improved version of H.261 • It was designed for low bitrate communication , however this limitationhas now been removed • It is expected that H.263 will replace H.261