DocumentCode :
3256225
Title :
Adaptive search window size algorithm for fast motion estimation in H.264/AVC standard
Author :
Goel, Sumeer ; Ismail, Yasser ; Bayoumi, Magdy A.
Author_Institution :
Center for Adv. Comput. Studies, Louisiana Univ., Lafayette, LA, USA
fYear :
2005
fDate :
7-10 Aug. 2005
Firstpage :
1557
Abstract :
H.264/AVC is a new recommendation for moving picture coding, in which a lot of new techniques are used for improving encoding efficiency and reducing the bit-rate. However, it involves an exhaustive motion search across multiple block sizes and multiple reference frames leading to a linear increase in processing time. Although, the encoding quality is improved, the complexity of the encoder and computational cost are increased at the same time. We reduce the computational cost by reducing the search space without significant loss in quality. Results show that there is at least 90% reduction in computation with a maximum loss of 1.4dB.
Keywords :
data compression; motion estimation; video coding; H.264/AVC standard; adaptive search window size algorithm; exhaustive motion search; fast motion estimation; moving picture coding; multiple block sizes; multiple reference frames; Automatic voltage control; Codecs; Computational complexity; Computational efficiency; Computational modeling; Degradation; Encoding; Humans; Motion compensation; Motion estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2005. 48th Midwest Symposium on
Print_ISBN :
0-7803-9197-7
Type :
conf
DOI :
10.1109/MWSCAS.2005.1594412
Filename :
1594412
Link To Document :
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