DocumentCode
3247136
Title
Coding efficiency improvement on distributed video coding utilizing super resolution approach
Author
Miyazawa, Ryo ; Kudoh, Shinobu ; Nakachi, Takayuki ; Hamada, Nozomu
Author_Institution
Signal Process. Lab., Keio Univ., Yokohama, Japan
fYear
2011
fDate
7-9 Dec. 2011
Firstpage
1
Lastpage
4
Abstract
Distributed Video Coding (DVC) has recently been attracting attention because it encodes frames independently without taking heavy computation at the inter-frame prediction coding. This paper proposes to introduce super resolution technique in conventional wavelet-based DVC utilizing JPEG2000. New key frame determination algorithm exploiting block segmentation with respect to translational motion feature is introduced at encoder. Down-sampled Wyner-Ziv frames are reconstructed by means of super resolution technique in the DVC context. The proposed method is compared with other existing DVC methods through experiments and it demonstrates efficiency in lower bit rate compression cases.
Keywords
image resolution; image segmentation; video coding; wavelet transforms; JPEG2000; Wyner-Ziv frames; block segmentation; coding efficiency improvement; conventional wavelet-based DVC; distributed video coding; interframe prediction coding; super resolution approach; translational motion feature; Image resolution; Motion compensation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communications Systems (ISPACS), 2011 International Symposium on
Conference_Location
Chiang Mai
Print_ISBN
978-1-4577-2165-6
Type
conf
DOI
10.1109/ISPACS.2011.6146150
Filename
6146150
Link To Document