Title :
Two dimensional Singular Value Decomposition (2D-SVD) based video coding
Author :
Gu, Zhouye ; Lin, Weisi ; Lee, Bu-Sung ; Lau, Chiew Tong ; Paul, Manoranjan
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
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 been demonstrated 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.
Keywords :
computational complexity; motion estimation; singular value decomposition; video codecs; video coding; 2D-SVD; codec performs; coding efficiency; common temporal characteristics; error-prone transmission; low complexity codecs; low-complexity video codec; mobile video calls; motion estimation; packet loss; two dimensional singular value decomposition; video coding; wireless surveillance; wireless video applications; Encoding; Image coding; Motion estimation; Singular value decomposition; Transform coding; Video codecs; Video coding; low-complexity; mobile video transmission; two-dimensional singular value decomposition;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5650998