Title :
Low-Complexity FGS Coding for Interlaced SVC in Low-Delay Applications
Author :
Zheng, Yanyan ; Xiangyang Ji ; Wu, Feng ; Zhao, Debin ; Gao, Wen
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing
Abstract :
JVT SVC has adopted AR-FGS (fine granularity scalability with adaptive reference) to efficiently encode the progressive sequences for low-delay applications. Generally, low-delay applications demand low complexity. However, to some extent, the significant gain of AR-FGS is achieved at the expense of much higher coding complexity. In this paper, we propose an efficient FGS coding scheme for low-delay applications that can more smartly compress the interlaced video sources by fully utilizing the special temporal correlation of interlaced sequences. Compared to AR-FGS in coding interlaced sequences, the new approach is able to significantly reduce both the encoding and decoding complexity while maintaining comparable compression performance. Moreover, benefited from the introduced open-loop MC, the proposed scheme can also support additional temporal scalability.
Keywords :
data compression; delays; image sequences; motion compensation; video coding; adaptive reference; fine granularity scalability; higher coding complexity; interlaced SVC; interlaced sequences; interlaced video sources; low-complexity FGS coding; low-delay applications; motion compensation; open-loop MC; progressive sequences; special temporal correlation; Asia; Computers; Decoding; Delay; Displays; Encoding; Scalability; Static VAr compensators; Video compression; Video sequences; AR-FGS; SVC; interlace; low complexity; low delay; open-loop;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2007.366359