DocumentCode :
554428
Title :
Optimization of motion estimation and integer transform and quantization in H.264
Author :
Xue Han ; Feng Li
Author_Institution :
Sch. of Comput. Sci. & Eng., Hunan Univ. of Sci. & Technol., Xiangtan, China
Volume :
3
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
1256
Lastpage :
1259
Abstract :
H.264 is a new international video coding standard based on motion estimation, transform, quantization and entropy coding framework. H.264 adopts plentiful new technologies, which greatly improve coding efficiency but hugely adding complexity. This paper studies the H.264 which is the most popularly coding technology current in-depth, and analyzes the key technology of H.264. And then select the motion estimation and integer transform and quantization as the breakthrough point to improve and optimized the speed of encoding. Finally, through the data of experiment, under the premise of a satisfactory video quality, algorithm achieves the purpose of speed up the video encoding.
Keywords :
computational complexity; motion estimation; optimisation; video coding; H.264 quantization; complexity; entropy coding framework; integer transform; international video coding standard; motion estimation optimization; video encoding; video quality; Encoding; Motion estimation; Optimization; PSNR; Prediction algorithms; Quantization; Transforms; H.264; integer transform; motion estimation; video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
Type :
conf
DOI :
10.1109/EMEIT.2011.6023278
Filename :
6023278
Link To Document :
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