Error Resilient Video Compression Using Behavior Models
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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: [email protected]
Zhibo Chen Imaging Technology Group, IMNC, Sony Corporation, 6-7-35 Kitashinagawa, Shinagawa-Ku, Tokyo 141-0001, Japan Email: [email protected]
Yun He Video Communication Research Group, Electronic Engineering Department, Tsinghua University, 11-425 East Main Building, 100084 Beijing, China Email: [email protected]
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: [email protected] 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.
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INTRODUCTION
Although the current video compression techniques can be considered mature, there are still many challenges in the design and operational control of compression techniques for end-to-end quality optimization. This is in particular true in the context of unreliable transmission media such as the Internet and wireless links. Conventional compression techniques such as JPEG and MPEG were designed with errorfree transmission of the compressed bitstream in mind. With such unreliable media, not all bit or packet errors may be corrected by retransmissions or forward error correction (FEC). Depending on the kind of channel coder, residual channel errors may be present in the bitstream after channel decoding.
In most practical packet network systems, packet retransmission corrects for some, but not all, packet losses. Classic rate control, such as TM.5 in MPEG [1], can be used to control the video encoder according to the available bit rate offered by the channel coder; adaptation to the bit error rate by inserting intracoded blocks is nevertheless not incorporated in TM.5. Other methods that control the insertion of intracoded blocks exist
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