Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Promoting the use of end-to-end congestion control in the Internet
IEEE/ACM Transactions on Networking (TON)
An MPEG performance model and its application to adaptive forward error correction
Proceedings of the tenth ACM international conference on Multimedia
Quality-adaptive media streaming by priority drop
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Sharp or smooth?: comparing the effects of quantization vs. frame rate for streamed video
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Adjusting forward error correction with quality scaling for streaming MPEG
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
Adjusting forward error correction with temporal scaling for TCP-friendly streaming MPEG
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
IEEE Transactions on Multimedia
Joint source/FEC rate selection for quality-optimal MPEG-2 video delivery
IEEE Transactions on Image Processing
Systems challenges of media collectives supporting media collectives with adaptive MDC
Proceedings of the 15th international conference on Multimedia
Proceedings of the 15th international conference on Multimedia
Motion and scene complexity for streaming video games
Proceedings of the 4th International Conference on Foundations of Digital Games
Fine-grained scalable streaming from coarse-grained videos
Proceedings of the 18th international workshop on Network and operating systems support for digital audio and video
Pick your layers wisely - a quality assessment of H.264 scalable video coding for mobile devices
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
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Temporal Scaling and Quality Scaling are both widely-used techniques to reduce the bitrate of streaming video. However, combinations and comparisons of Temporal and Quality Scaling have not been systematically studied. This research extends previous work to provide a model for combining Temporal and Quality Scaling, and uses an optimization algorithm to provide a systematic analysis of their combination over a range of network conditions and video content. Analytic experiments show: 1) Quality Scaling typically performs better than Temporal Scaling, with performance differences correlated with the motion characteristics of the video. In fact, when the network capacity is moderate and the loss rate is low, Quality Scaling performs nearly as well as the optimal combination of Quality and Temporal Scaling; 2) when the network capacity is low and the packet loss rate is high, Quality Scaling alone is ineffective, but a combination of Quality and Temporal Scaling can provide reasonable video quality; 3) adjusting the amount of Forward Error Correction (FEC) provides significantly better performance than video streaming without FEC or video streaming with a fixed amount of FEC.