DocumentCode :
1075522
Title :
Asymmetrical principal component analysis for video coding
Author :
Söderström, U. ; Li, H.
Author_Institution :
Umed Univ., Umed
Volume :
44
Issue :
4
fYear :
2008
Firstpage :
276
Lastpage :
277
Abstract :
Principal component analysis (PCA) can be used to encode video sequences at extremely low bit rates, e.g. 34.6 dB (PSNR) at 4.2 kbit/s. The same eigenvectors are used for encoding and decoding for this coding. Introduced is a coding scheme where eigenvectors for only part of the video frames are used for encoding but the eigenvectors for the entire frame are used for decoding. This is called asymmetric PCA coding. This reduces the complexity of encoding by ap5 times and at the same time increases the reconstruction quality for the facial part of the video with 0.4 dB (PSNR)..
Keywords :
decoding; eigenvalues and eigenfunctions; image sequences; principal component analysis; video coding; asymmetric PCA coding; decoding; eigenvectors; encoding; principal component analysis; video coding; video frames; video sequences;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20083631
Filename :
4455405
Link To Document :
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