Title
Multi-View Images Coding Based on Multiterminal Source Coding
Abstract
In this paper, we proposed a multi-view images coding method based on multiterminal source coding (MSC). Due to separate encoding in MSC, our coding scheme can achieve good random access performance and the spatial redundancy can be exploited even if the encoders can not communicate with each other. Because of joint decoding, the compression performance of our scheme is promising, far better than that of separate encoding and decoding scheme. Compared to multi-view coding based on Wyner Ziv coding, our coding scheme is more flexible and can be easily extended to N views coding. There is no need to classify the view images into key images and Wyner Ziv images, images can be compressed in the same way and we can easily change the compression rate of each view to adapt to the resource conditions, like network bandwidth or storage. Experiment results show that the compression performance of our scheme is better than that of JPEG encoder and decoder scheme.
Year
DOI
Venue
2007
10.1109/ICASSP.2007.366088
ICASSP (1)
Keywords
Field
DocType
wyner ziv coding,image coding,multi-view coding,spatial redundancy,multiterminal source coding,jpeg encoder,source coding,random access performance,multiview images coding,compression rate,decoding,transform coding,automation,encoding,video compression,random access,bandwidth
Modified Huffman coding,Tunstall coding,Computer vision,Coding tree unit,Computer science,Sub-band coding,Artificial intelligence,Distributed source coding,Shannon–Fano coding,Context-adaptive binary arithmetic coding,Variable-length code
Conference
Volume
ISSN
ISBN
1
1520-6149
1-4244-0727-3
Citations 
PageRank 
References 
2
0.37
3
Authors
3
Name
Order
Citations
PageRank
Feng Yang18611.70
Qionghai Dai23904215.66
Guiguang Ding3173180.28