Title :
A Fast and Performance-Maintained Transcoding Method Based on Background Modeling for Surveillance Video
Author :
Geng, Mingchao ; Zhang, Xianguo ; Tian, Yonghong ; Liang, Luhong ; Huang, Tiejun
Author_Institution :
Inst. of Digital Media, Peking Univ., Beijing, China
Abstract :
Low-complexity and high-performance surveillance video Transcoding methods play an important role for a wide range of surveillance video transmission and storage applications. Towards this end, the special characteristics of surveillance video should be utilized for Transcoding. In this paper, we propose a fast and performance-maintained Transcoding method. This method firstly divides macro blocks (MBs) into foreground MBs, foreground border MBs and background MBs. Statistics show that the three categories have different distributions of prediction modes, motion vectors and reference frames. Following this, we adopt different Transco ding strategies in terms of removing the redundant prediction modes, narrowing motion search range and reducing reference frames. In particular, we propose an algorithm to exploit the decoded motion vector to adaptively calculate motion search range. Experimental results show that, compared with the recent background modeling based full-decoding-full-encoding, our Transcoding method saves more than 93% time with ignorable quality loss.
Keywords :
video coding; video surveillance; MB; background modeling; fast maintained transcoding method; macro blocks; performance maintained transcoding method; video surveillance; video transcoding method; video transmission surveillance; Complexity theory; Computational modeling; Correlation; Object oriented modeling; Surveillance; Transcoding; Vectors; background modeling; decrease complexity; full-decoding-full-encoding; motion search range; surveillance video transcoding;
Conference_Titel :
Multimedia and Expo (ICME), 2012 IEEE International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-1659-0
DOI :
10.1109/ICME.2012.65