DocumentCode :
2105991
Title :
All Zero Block Detection Based on Statistics for AVS-M Intra Frame Prediction
Author :
Wu, Yun ; Zhao, Yong ; Wang, Xuemin ; Yuan, Yule ; Shen, Ling ; Yu, Chunyu
Author_Institution :
Coll. of Comput. Sci. & Technol., Guizhou Univ., Guiyang
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
566
Lastpage :
569
Abstract :
AVS-M is a standard for mobile video transmission of AVS series of standards for audio and video compression in China. AVS-M has nine intra prediction modes just as the widely studied H.264. Since H.264 and AVS-M has DCT transform for 4times4 blocks, a similar all zero block detecting for H.264 has also been proposed for AVS-M. However, the technique may not the best one for all zero detection in practice as discovered in our simulation. We proposed, in this paper, a new technique for detecting all zero block for AVS-M based on statistics and we found this technique is very simple and efficient. Based on this technique, early termination for intra prediction is carried out and computation is substantially reduced. The simulation results show that the technique can speed up the encoding process without loss of coding PSNR and bitrate efficiency.
Keywords :
audio coding; data compression; statistical analysis; video coding; AVS-M intraframe prediction; H.264 standard; all zero block detection; audio compression; mobile video transmission; statistics; video compression; Automatic voltage control; Computational modeling; Degradation; Discrete cosine transforms; Encoding; Information technology; PSNR; Predictive models; Statistics; Video compression; AVS-M; All Zero Block; Intra Frame Prediction; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3505-0
Type :
conf
DOI :
10.1109/IITA.Workshops.2008.253
Filename :
4732002
Link To Document :
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