Labmeeting - 20151013 - Adaptive Video Streaming over HTTP with Dynamic Resource Estimation
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The document discusses adaptive video streaming over HTTP, emphasizing bandwidth and bitrate estimation techniques that enable constant bitrate streaming despite variable bitrate video encoding. It details experimental comparisons of aggressive and proposed methods for estimating throughput and video bitrate. The conclusions highlight the effectiveness of the proposed method in quickly adapting to throughput changes, maintaining playback quality, and stabilizing buffer levels amidst bandwidth fluctuations.
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