A presentation we've made to potential customers such as image archiving vendors (such as Yahoo! Flicker application, Google Picasa application, Gettyimages Etc.). This presentation has shown the marketing and technical benefits that the vendor who will embed Jpack, enjoy.
3. The needs
Cost saving is a clear need to any business in the
coming days of the recession.
Data is increasing in a non-linear manner and
requires more infrastructure.
Bandwidth is becoming crowded…
User Experience is still an issue. Slow upload time is
a barrier.
4. The Challenge
Combining multiple needs into one elegant solution
Reduces JPEG sizes by a significant compression ratio
A solution fast enough for server multi process applications
Decreases image upload/download time
Preserving image quality
Minimal integration efforts
Solution with minimal or no infrastructure
Transparency on both server side and client side
6. JPACK™ SDK Features
Fastest JPEG re-compression SDK
Average of 25% file size reduction and Up to
80%
Improving download and upload operations
Lossless, bit-exact compression technology
(guaranteed CRC reversibility)
Seamless integration into both server and client
sides of the application
8. Workflow
User registers for the service – Installs ActiveX or Exe which
contains also the Infima Compressor/De-compressor
User uploads images – JPEG, GIF, TIFF, and BMP
Infima’s NCM makes the best quality lossless compression on the Images:
~ 25% for JPEG, ~ 52% for PDF, ~ 75% for TIFF
Converting to LAN format locally (on his PC)
Uploading the images over the net saving bandwidth and enhancing user experience
Multi-scaling to smaller images (The smallest will be JPEG in any case)
Showing thumbnails in downscaled JPEG format (Not compressed)
Upon request to show high resolution image – decompression to original or to JPEG
Upon request to download the image
User has NCM decoder
User doesn't have NCM decoder
Downloading as is, saving bandwidth and
enhancing user experience
Decompression on server and downloading
9. Technology Highlights
A novel US patent-pending compression algorithm
Based on a Learning System, uses Neural Network
which understands and analyses the data
A unique proprietary compression formats
Able to re-compress previously compressed formats.
Able to compress to standard formats
Sub-modeling for specific data enhances the capabilities
Up to 95% lossless compression of raw data
Up to 25%-30% lossless compression of JPEG
“Backwards compatibility guaranteed”
13. Case Study
Based on data collected from a leading social network company, Infima
estimates it can save:
Current Storage Capacity
600
Current Storage Savings
Additional Annual capacity
200
Additional Annual Savings 1250000
TCO - 1TB
25000
Annual Bandwidth Savings 1500000
Bandwidth Monthly Cost
500000
(Average file size (KB
1024
Average user upload rate
((Kbps
128
3750000
Total 1st Year Savings
6500000
Upload time savings
((Sec/file
2
14. Risk Free Business Model
Cost Saving Revenue Sharing model - Pay
us according to what you save!
Minimal commitment - Minimal down payment
and usually no NRE
Alternative Licensing model One time license + Support
Server Licenses + Client Licenses or Decoders
15. Comparison to Storage Optimizers
JPACK™ SDK
Storage optimizers
(Ocarina Network / Storewize)
Location
Server and/or Client side
Server side only
Storage cost saving
+
+
Bandwidth cost savings
+
-
Enhancing user experience (decreasing upload
time)
+
-
Adding latency
-
+
Need to purchase new infrastructure
-
+
Bit2bit reconstruction
+
-
Transparency
+
(part of your application)
(External addition)
Format
Proprietary
Proprietary
16. JPACK evaluation kit
Evaluation
SDK
60
days activated trial version of our SDK,
Providing 2 modes of action – fast or best
JPEG dataset - 42 images of different levels
and sizes.
Performance evaluation report – analyses
compression results of the above dataset
DIF – bit-2-bit verification tool
JPACK™
brochure
17. JPACK SDK
JPEG formats
Operating System
Windows Vista, XP, 2000,
98, NT 4.0
Product Architecture
All JPEG formats
Arithmetic, Progressive and
RAW
32Bit
Compatible Containers
Microsoft Visual Studio:
C#/C++/VB 2008, C#/C+
+/VB 2005, .NET, 2003,
.NET, C++/VB 6.0
Product Type
Library Size
100K-200K
Delivered as
Component
DLL/Shared Object
System Requirements:
Minimal 40MB ROM
32-bit architecture. (64-bit
versions of Windows
currently not supported).
