Title:A Survey on Low-Complexity Video Coding Methods and Architectures
VOLUME: 7 ISSUE: 1
Author(s):Shuang Yu, Fei Qiao, Xiao Yang, Li Luo and Huazhong Yang
Affiliation:Dept. of Electronic Engineering, Tsinghua University, Beijing, P. R. China.
Keywords:Applications, compressive sensing, distributed video coding, low complexity, modification of traditional video
coding methods, underdetermined blind signal separation, video coding, 2-D singular value decomposition.
Abstract:Traditional video coding methods are able to achieve wonderful performance improvements in data compression.
However, these methods have high computational complexity and hardware resource consumption, which are not
suitable for some applications, such as wireless multi-media sensor network (WMSN) where low complexity video coding
(LCVC) methods are modern technologies. In this survey, some typical LCVC methods are explored, including the cropping
and improving of the traditional video encoder, Distributed Video Coding (DVC), Compressive Sensing (CS) video
encoder, Underdetermined Blind Signal Separation (UBSS) and Two-Dimensional Singular Value Decomposition (2-D
SVD) based video encoder. These technologies could obtain better trade-off between high compression ratio and well reconstructed
video quality with lower encoding complexity. Moreover, some known architectures of the mentioned LCVC
methods are analyzed, as well as the brief performance analysis and comparison. Finally, some applications of low
complexity video coding are described, such as wireless video surveillance system and mobile video equipment.
