Labmeeting - 20151013 - Adaptive Video Streaming over HTTP with Dynamic Resource Estimation
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Truong Cong Thang Univ. of Aizu, Aizu-Wakamatsu, Japan Le, H.T. ; Nguyen, H.X. ; Pham, A.T. ; Jung Won Kang ; Yong Man Ro Journal of Communications and Networks, Vol. 15, No. 6, Dec. 2013
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Labmeeting - 20151013 - Adaptive Video Streaming over HTTP with Dynamic Resource Estimation
- 1. NTUST - Mobilizing Information Technology Lab Adaptive Video Streaming over HTTP with Dynamic Resource Estimation Truong Cong Thang Univ. of Aizu, Aizu-Wakamatsu, Japan Le, H.T. ; Nguyen, H.X. ; Pham, A.T. ; Jung Won Kang ; Yong Man Ro Journal of Communications and Networks, Vol. 15, No. 6, Dec. 2013 Advisor：Jenq-Shiou Leu Student：Bing-Syuan Wang Date：2015/10/13 National Taiwan University of Science and Technology
- 2. NTUST - Mobilizing Information Technology Lab Outline • Introduction • Overview of Adaptive HTTP Streaming • Throughput Estimation • Experiments • Video Bitrate Estimation • Experiments • Conclusion 2
- 3. NTUST - Mobilizing Information Technology Lab Introduction • Hypertext transfer protocol (HTTP) streaming has become a cost effective means for multimedia delivery. • Client-based approach. • Bandwidth estimation. Bitrate estimation. • Constant bitrate (CBR) video/Variable bitrate (VBR) video. • This solution may enable CBR-streaming even though the video is encoded in VBR mode 3
- 4. NTUST - Mobilizing Information Technology Lab Overview of Adaptive HTTP Streaming • Dynamic adaptive streaming over HTTP (DASH) • Metadata: media presentation description (MPD) 4
- 5. NTUST - Mobilizing Information Technology Lab Throughput Estimation • Based on previous segment throughputs / last segment (aggressive method). 5
- 6. NTUST - Mobilizing Information Technology Lab Throughput Estimation • 𝑇𝑑 𝑒 (𝑖) : The estimated download throughput • 𝐷 𝑒 (𝑖) : The estimated download duration 6
- 7. NTUST - Mobilizing Information Technology Lab Experiments • Segment duration 6s; target buffer level 12s. • Client behavior with segment duration of 6 s and throughput estimation using: (a) Aggressive method and (b) proposed method. 7 11.5s 6s
- 8. NTUST - Mobilizing Information Technology Lab Experiments • Comparison of the aggressive method and proposed method with segment duration of 6 s using: (a) CDF of bitrate and (b) CDF of buffer level. 8
- 9. NTUST - Mobilizing Information Technology Lab Video Bitrate Estimation • The bitrate is not constant. • The client will be able to dynamically select the highest possible bitrate. • Quantization parameter (QP) (1-unit QP → 12%) • A. Inter-Stream Bitrate Estimation • B. Intra-Stream Bitrate Estimation 9
- 10. NTUST - Mobilizing Information Technology Lab Experiments • Segment duration 2s; target buffer level 4s. • Preparing the video alternatives in VBR mode. 10
- 11. NTUST - Mobilizing Information Technology Lab Experiments • Based on average bitrate (ABR), highest bitrate (HBR), estimated bitrate (EBR) 11
- 12. NTUST - Mobilizing Information Technology Lab Conclusion • The proposed method can capture quickly the changes of throughput, and then adjust video bitrate accordingly. • The estimation methods essentially do not affect the playback quality (less than 1 ms). • The proposed solutions were effective to maintain a stable buffer under fluctuations of bandwidth and video bitrate. 12
Notas do Editor
- Feature extraction: parameter Controller: decide to adjust the computation model
- RTT 0.125
- DummyNet Loss rate = 0% RTT value = 40ms
- CDF:累積分布函數