DocumentCode :
2033144
Title :
Fast Motion Estimation and Edge Information Inter-Mode Decision on H.264 Video Coding
Author :
Pan, Yu-Nan ; Tsai, Tsung-Han
Author_Institution :
Nat. Central Univ., Taoyuan
Volume :
2
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
In the upcoming video coding standard, MPEG-4 AVC/JVT/H.264, motion estimation (ME) is allowed to use seven kinds of block sizes to improve the rate-distortion performance. This new feature has achieved significant coding gain compared to coding a macroblock (MB) using fixed block size. However, ME is computational intensive with complexity increasing linearly to the number of allowed block sizes. In this paper, a combined fast motion estimation algorithm with Predict Hexagon Search (PHS) and Edge Information Mode Decision (E1MD) is proposed. EIMD uses the edge information to predict the best matching block size. It can determine the best MB type quickly. The PHS can search the candidate MV efficiently. The analysis results show that the speed improvement of our proposed algorithm over some popular fast motion estimation algorithm is about 2~15 times. Compared with JM10.2, the speed-up is marvelously enhanced as 20~40 times and can still keep good quality as JM10.2.
Keywords :
computational complexity; motion estimation; video coding; H.264 video coding; MPEG-4 AVC; block sizes; computational complexity; edge information intermode decision; motion estimation; predict hexagon search; rate-distortion performance; Automatic voltage control; Cities and towns; IEC standards; ISO standards; MPEG 4 Standard; Motion estimation; Prediction algorithms; Rate-distortion; Video coding; Video compression; H.264; edge difference; edge information mode decision; fast mode decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379195
Filename :
4379195
Link To Document :
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