Elements of information theory
Elements of information theory
Fusion-based multiview distributed video coding
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
On the uniform quantization of a class of sparse sources
IEEE Transactions on Information Theory
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
Layered Wyner–Ziv Video Coding
IEEE Transactions on Image Processing
Rate Distortion Analysis of Motion Side Estimation in Wyner–Ziv Video Coding
IEEE Transactions on Image Processing
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Distributed multi-view image coding with learned dictionaries
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Image interpolation with edge-preserving differential motion refinement
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Hi-index | 0.00 |
This paper deals with distributed video coding (DVC) for multi-view sequences. DVC of multi-view sequences is a recent field of research, with huge potential impact in applications such as videosurveillance, real-time event streaming from multiple cameras, and, in general, immersive communications. It raises however several problems, and in this paper we tackle two of them. Based on the principles of Wyner-Ziv (WZ) coding, in multi-view DVC many estimations can be generated in order to create the side information (SI) at the decoder. It has been shown that the quality of the SI strongly influences the global coding performances. Therefore, this paper proposes to study the contribution of multiple SI estimations (in the temporal and view directions) to the global performances. Moreover, we propose new symmetric schemes for longer group of pictures (GOP) in multi-view DVC and show that we can further exploit the long-term correlations using a new kind of estimation, called diagonal. For such schemes, several decoding strategies may be envisaged. We perform a theoretical study of the temporal and inter-view dependencies, and confirm by experiments the conclusion about the best decoding strategy.