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Báo cáo hóa học: " Error Resilient Video Compression Using Behavior Models"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Error Resilient Video Compression Using Behavior Models | EURASIP Journal on Applied Signal Processing 2004 2 290-303 2004 Hindawi Publishing Corporation Error Resilient Video Compression Using Behavior Models Jacco R. Taal Information and Communication Theory Group Department of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 2628 CD Delft The Netherlands Email j. r. taal@ewi.tudelft.nl Zhibo Chen Imaging Technology Group IMNC Sony Corporation 6-7-35 Kitashinagawa Shinagawa-Ku Tokyo 141-0001 Japan Email chenzhibo@tsinghua.org.cn Yun He Video Communication Research Group Electronic Engineering Department Tsinghua University 11-425 East Main Building 100084 Beijing China Email hey@video.mdc.tsinghua.edu.cn R. Inald L. Lagendijk Information and Communication Theory Group Department of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 2628 CD Delft The Netherlands Email r.l.lagendijk@ewi.tudelft.nl Received 1 December 2002 Revised 26 September 2003 Wireless and Internet video applications are inherently subjected to bit errors and packet errors respectively. This is especially so if constraints on the end-to-end compression and transmission latencies are imposed. Therefore it is necessary to develop methods to optimize the video compression parameters and the rate allocation of these applications that take into account residual channel bit errors. In this paper we study the behavior of a predictive interframe video encoder and model the encoders behavior using only the statistics of the original input data and of the underlying channel prone to bit errors. The resulting data-driven behavior models are then used to carry out group-of-pictures partitioning and to control the rate of the video encoder in such a way that the overall quality of the decoded video with compression and channel errors is optimized. Keywords and phrases behavior model rate distortion video coding error resilience. 1. INTRODUCTION Although the current .