JOURNAL ARTICLE

Balanced distributed coding of omnidirectional images

Vijayaraghavan ThirumalaiIvana TošićPascal Frossard

Year: 2007 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 6822 Pages: 68221Q-68221Q   Publisher: SPIE

Abstract

This paper presents a distributed coding scheme for the representation of 3D scenes captured by a network of omnidirectional cameras. We consider a scenario where images captured at different viewpoints are encoded independently, with a balanced rate distribution among the different cameras. The distributed coding is built on multiresolution representation and partitioning of the visual information in each camera. The encoder then transmits one partition after entropy coding, as well as the syndrome bits resulting from the channel encoding of the other partition. The joint decoder exploits the intra-view correlation by predicting the missing source information with help of the syndrome bits. At the same time, it exploits the inter-view correlation by using motion estimation between images from different cameras. Experiments demonstrate that the distributed coding solution performs better than a scheme where images are handled independently, while the coding rate advantageously stays balanced between encoders.

Keywords:
Computer science Encoder Computer vision Artificial intelligence Coding (social sciences) Distributed source coding Entropy (arrow of time) Entropy encoding Coding tree unit Exploit Decoding methods Variable-length code Data compression Algorithm Mathematics

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
29
Refs
0.09
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Wireless Communication Security Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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