DocumentCode :
1127859
Title :
Iterative Side-Information Generation in a Mixed Resolution Wyner-Ziv Framework
Author :
Macchiavello, Bruno ; Mukherjee, Debargha ; De Queiroz, Ricardo L.
Author_Institution :
Dept. de Eng. Eletr., Univ. de Brasilia, Brasilia, Brazil
Volume :
19
Issue :
10
fYear :
2009
Firstpage :
1409
Lastpage :
1423
Abstract :
We propose a mixed resolution framework based on full resolution key frames and spatial-reduction-based Wyner-Ziv coding of intermediate nonreference frames. Improved rate-distortion performance is achieved by enabling better side-information generation at the decoder side and better rate-allocation at the encoder side. The framework enables reduced encoding complexity by low resolution encoding of the nonreference frames, followed by Wyner-Ziv coding of the Laplacian residue. The quantized transform coefficients of the residual frame are mapped to cosets without the use of a feedback channel. A study to select optimal coding parameters in the creation of the memoryless cosets is made. Furthermore, a correlation estimation mechanism that guides the parameter choice process is proposed. The decoder first decodes the low resolution base layer and then generates a super-resolved side-information frame at full resolution using past and future key frames. Coset decoding is carried using side-information to obtain a higher quality version of the decoded frame. Implementation results are presented for the H.264/AVC codec.
Keywords :
computational complexity; correlation methods; data compression; distributed algorithms; image resolution; iterative decoding; rate distortion theory; set theory; transform coding; video codecs; video coding; H.264/AVC codec; Laplacian residual frame; correlation estimation mechanism; decoder side; distributed video coding algorithm; encoder rate-allocation; feedback channel; intermediate nonreference frame; iterative side-information generation; low-resolution encoding complexity; memoryless coset decoding; mixed-resolution spatial-reduction-based Wyner-Ziv coding framework; optimal coding parameter selection; parameter choice process; quantized transform coefficient; rate-distortion performance; video quality; Distributed video coding; reversed-complexity; scalable video coding; side-information generation;
fLanguage :
English
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8215
Type :
jour
DOI :
10.1109/TCSVT.2009.2026820
Filename :
5159424
Link To Document :
بازگشت