DocumentCode
1866133
Title
A low-complexity iterative mode selection algorithm Forwyner-Ziv video compression
Author
Liu, Limin ; He, Da-Ke ; Jagmohan, Ashish ; Lu, Ligang ; Delp, Edward J.
Author_Institution
Video & Image Process. Lab. (VIPER), IBM T.J. Watson Res. Center, Yorktown Heights, NY
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
1136
Lastpage
1139
Abstract
Aiming at improving compression performance, we consider mode selection for Wyner-Ziv video compression where a block of pixels in a video frame, after discrete cosine transform (DCT), can be either encoded by using H.264 Intra mode or Wyner-Ziv (WZ) mode with side information processed at the decoder. Under the constraint of encoding complexity, an iterative algorithm is proposed to find the best partition of a video frame in to these two modes in the sense of minimizing the overall compression rate. It is shown that the algorithm always converges. Experimental results on standard video test sequences show that by using the proposed algorithm for mode selection, one can achieve about 0.4 dB gain for WZ-encoded frames over a WZ video compression system without intra mode at rate 0.2 bits per pixel. Furthermore, in all the experiments our algorithm converges in 3 iterations.
Keywords
convergence; data compression; discrete cosine transforms; image sequences; iterative methods; video coding; H.264 intra mode; Wyner-Ziv video compression; algorithm convergence; decoder; discrete cosine transform; encoding complexity; gain 0.4 dB; low-complexity iterative mode selection algorithm; video test sequences; Channel coding; Discrete cosine transforms; Entropy; Image coding; Iterative algorithms; Iterative decoding; Parity check codes; Partitioning algorithms; Turbo codes; Video compression; Entropy; Wyenr-Ziv coding; iterative algorithm; low complexity video compression; mode decision;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4711960
Filename
4711960
Link To Document