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Proceedings Paper

Low complexity H.264 video encoding
Author(s): Paula Carrillo; Hari Kalva; Tao Pin
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Paper Abstract

H.264/AVC encoder complexity is mainly due to variable block size in Intra and Inter frames. This makes H.264/AVC very difficult to implement, especially for real time applications and mobile devices. The current technological challenge is to conserve the compression capacity and quality that H.264 offers but reduce the encoding time and, therefore, the processing complexity. This paper applies machine learning technique for video encoding mode decisions and investigates ways to improve the process of generating more general low complexity H.264/AVC video encoders. The proposed H.264 encoding method decreases the complexity in the mode decision inside the Inter frames. Results show, on average, a 67.36% reduction in encoding time, a 0.2 dB decrease in PSNR, and an average bit rate increase of 0.05%.

Paper Details

Date Published: 2 September 2009
PDF: 7 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74430A (2 September 2009); doi: 10.1117/12.829400
Show Author Affiliations
Paula Carrillo, Florida Atlantic Univ. (United States)
Hari Kalva, Florida Atlantic Univ. (United States)
Tao Pin, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

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