Title :
Fast adaptive GOP design for H.264/SVC
Author :
Ding, Jun-Ren ; Yang, Jar-Ferr
Author_Institution :
Inst. of Comput. & Commun. Eng., Tainan
fDate :
Oct. 30 2007-Nov. 2 2007
Abstract :
In order to concurrently provide different video services for diverse access devices, the scalable quality and complexity services in a single bit stream offered by H.264-based scalable video coding (H.264/SVC) has gained a lot of attentions recently. However, the motion-compensated temporal filtering (MCTF) structure consumes a large amount of operation time when combined with Core Experiment 2 (CE2), which implements adaptive GOP detection (AGD). In this paper, we suggest a video content variation (VCV) feature to implement fast AGD method by using block-based classification before executing MCTF. Based on the JSVM 7.0 software, the simulation results show that the proposed method reduces about 67% of the operation time consumed on average as compared to the CE2.
Keywords :
feature extraction; filtering theory; image classification; image motion analysis; video coding; H.264; JSVM 7.0 software; adaptive GOP detection; block-based classification; motion-compensated temporal filtering structure; scalable video coding; video content variation feature; Automatic voltage control; Concurrent computing; Filter bank; Filtering; Motion estimation; Scalability; Static VAr compensators; Streaming media; Video coding; Video compression;
Conference_Titel :
TENCON 2007 - 2007 IEEE Region 10 Conference
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-1272-3
Electronic_ISBN :
978-1-4244-1272-3
DOI :
10.1109/TENCON.2007.4428784