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Asymmetrical principal component analysis for video coding
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab)
2008 (English)In: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 44, no 4, 276-277 p.Article in journal (Refereed) Published
Abstract [en]

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).

Place, publisher, year, edition, pages
2008. Vol. 44, no 4, 276-277 p.
Identifiers
URN: urn:nbn:se:umu:diva-22983DOI: 10.1049/el:20083631OAI: oai:DiVA.org:umu-22983DiVA: diva2:218917
Available from: 2009-05-25 Created: 2009-05-25 Last updated: 2016-02-23

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Li, Haibo

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