The MPEG-4 Book
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
DECOMPRESSION OF CORRUPT JPEG2000 CODESTREAMS
DCC '03 Proceedings of the Conference on Data Compression
A framework for adaptive scalable video coding using Wyner-Ziv techniques
EURASIP Journal on Applied Signal Processing
The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
Error-resilient coding in JPEG-2000 and MPEG-4
IEEE Journal on Selected Areas in Communications
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity transform and quantization in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Cooperative coding and caching for streaming data in multihop wireless networks
EURASIP Journal on Wireless Communications and Networking - Special issue on multimedia communications over next generation wireless networks
Hi-index | 0.00 |
Distributed Video Coding (DVC) is a new paradigm for video compression based on the information theoretical results of Slepian-Wolf (SW) and Wyner-Ziv (WZ). In this work, a performance analysis of image and video coding schemes based on DVC is presented, addressing temporal, quality and spatial scalability. More specifically, conventional coding is used to obtain a base layer while WZ coding generates the enhancement layers. At the decoder, the base layer is used to construct Side Information (SI) for the DVC decoding process. Initially, we show that the scalable DVC approach is codec-independent, which means that it is independent from the method used to encode the base layer. Moreover, the influence of the base layer quality on the overall performance of the schemes is studied. Finally, evaluation of the proposed schemes is performed in both cases, with and without transmission errors. The simulation results show that scalable DVC has a lower compression efficiency than conventional scalable coding (i.e. scalable video coding and JPEG2000 for video and image, respectively) in error-free conditions. On the other hand, the DVC-based schemes show better error resilience as they outperform conventional scalable coding in error-prone conditions. More specifically, the Rate Distortion (RD) performance of the proposed schemes for image coding is compared with respect to Reed Solomon (RS) protected JPEG2000. While the latter exhibits a cliff effect as its performance dramatically decreases after a certain error rate, the performance of the DVC-based schemes decreases in a steady way with error rate increase.