DocumentCode
433185
Title
Wyner-Ziv video coding with hash-based motion compensation at the receiver
Author
Aaron, Anne ; Rane, Shantanu ; Girod, Bernd
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume
5
fYear
2004
fDate
24-27 Oct. 2004
Firstpage
3097
Abstract
In the current interframe video compression systems, the encoder performs predictive coding to exploit the similarities of successive frames. The Wyner-Ziv theorem on source coding with side information available only at the decoder suggests that an asymmetric video codec, where individual frames are encoded separately, but decoded conditionally (given temporally adjacent frames) could achieve similar efficiency. In the previous work we propose a Wyner-Ziv coding scheme for motion video that uses intraframe encoding instead of interframe decoding. In this paper we improve on our Wyner-Ziv video codec by sending hash codewords of the current frame to aid the decoder in accurately estimating the motion. This allows us to implement a low-delay system where only the previous reconstructed frame is used to generate the side information of a current frame. Simulation results show significant gains above conventional DCT-based intraframe coding. The Wyner-Ziv video codec with hash-based motion compensation at the receiver enables low-complexity encoding while achieving high compression efficiency.
Keywords
computational complexity; decoding; delay systems; discrete cosine transforms; image reconstruction; motion compensation; motion estimation; source coding; video codecs; video coding; Wyner-Ziv video coding scheme; encoding complexity; hash-based motion compensation; image compression; image reconstruction; interframe decoding; interframe video compression systems; intraframe encoding; low-delay system; motion estimation; predictive coding; source coding; video codec; Cameras; Decoding; Encoding; Laboratories; Motion compensation; Source coding; Video codecs; Video coding; Video compression; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-8554-3
Type
conf
DOI
10.1109/ICIP.2004.1421768
Filename
1421768
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