Efficient Recurrent Pattern Matching Video Coding

时 间:2012年10月19日(周五)上午9:30

地 点:北京大学计算机科学技术研究所 309 会议室 (中关村北大街128号计算机所大楼)

报 告 人:张奇

报告题目:Efficient Recurrent Pattern Matching Video Coding

报告摘要:

In this paper, we propose a pattern-matching-based algorithm for video compression. This algorithm, named multidimensional multiscale parser (MMP)-Video, is based on the H.264/AVC video encoder, but uses a pattern-matching paradigm instead of the state-of-the-art transform-quantization-entropy encoding approach. The proposed method adopts the use of multiscale recurrent patterns to compress both spatial and temporal prediction residues, totally replacing the use of transforms and quantization. Experimental results show that the coding performance of MMP-Video is better than the one of H.264/AVC high profile, especially for medium to high bit-rates. The gains range up to 0.7 dB, showing that, in spite of its larger computational complexity, the use of multiscale recurrent pattern matching paradigm deserves being investigated as an alternative for video compression.

注:文章选自 IEEE Transactions on Circuits and Systems for Video Technology, Vol. 22, No. 8, Aug 2012, 1161-1173

 

报 告 人:汤凯

报告题目:Analysis of Adaptive Streaming for Hybrid CDN/P2P Live Video Systems

报告摘要:

Most commercial video streaming systems rely on Content Distribution Networks (CDNs) to distribute video content. HTTP adaptive streaming has been recently adopted by major video streaming providers and is now considered thestandard technique used with CDN-based streaming systems. Despite the success of these systems, cost-effective scalability continues to be of concern in their design and deployment. To address this, recent work has proposed the use of hybrid CDN and Peer-to-peer (P2P) live streaming systems. The design of these systems aims to combine the scalability of P2P systems and the desirable performance properties of CDN-based systems. However, the use of adaptive streaming, has not been explored extensively in such hybrid systems.

Designing and operating an adaptive hybrid streaming system is very challenging. Two design decisions are very critical in the operation of any such system. The first one is the bitrate adaptation strategy which specifies how different bitrates are assigned to different users while maximizing user satisfaction. The second is defining the operational guidelines for switching the system between the CDN and the P2P modes while efficiently utilizing the available resources. In this paper they present a model and analysis of a hybrid CDN-P2P adaptive live streaming system with the objective of answering these two design questions. They first present a stochastic fluid model to the hybrid streaming system with a single video bitrate and they obtain theoretical results to guide the system operation as described above. They then extend the analysis to the adaptive streaming case with multiple video bitrates. They model adaptive streaming as a linear optimization problem to obtain the best bitrate adaptation strategy. They validate their analysis using simulations. Their conclusion is that adaptive hybrid streaming can significantly improve the ability of the system to satisfy more users with higher video bitrates over CDN-based systems.

注:文章选自 IEEE International Conference on Network Protocols , Oct. 2011, 276 - 285

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