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
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