Two dimensional singular value decomposition (2D-SVD) based video coding

Gu. Zhouye, Weisi Lin, Bu-sung Lee, Chiew Tong Lau, Manoranjan Paul

Research output: Book chapter/Published conference paperConference paperpeer-review

8 Citations (Scopus)
18 Downloads (Pure)


In this paper, we propose a low-complexity video codec based on two-dimensional Singular Value Decomposition (2D-SVD). We exploit the common temporal characteristics of video without resorting to motion estimation. It has beendemonstrated that this codec has higher coding efficiency than the relevant existing low complexity codecs. Moreover, the proposed codec performs well to deal with packet loss that is unavoidable in error-prone transmission. Therefore it is with advantages and good potential for wireless video applications such as mobile video calls and wireless surveillance.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
Publication statusPublished - 2010
EventICIP 17th International Conference - Hong Kong, Hong Kong
Duration: 26 Sep 201029 Sep 2010


ConferenceICIP 17th International Conference
Country/TerritoryHong Kong


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