Low complexity H.264 video encoding | Zendy

Paula Carrillo | Zendy; Hari Kalva | Zendy; Pin Tao | Zendy

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Low complexity H.264 video encoding

Author(s) -

Paula Carrillo,

Hari Kalva,

Pin Tao

Publication year - 2009

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.829400

Subject(s) - computer science , encoder , encoding (memory) , computational complexity theory , scalable video coding , bit rate , data compression , context adaptive binary arithmetic coding , real time computing , context adaptive variable length coding , video quality , reduction (mathematics) , block (permutation group theory) , algorithm , artificial intelligence , motion compensation , metric (unit) , operations management , geometry , mathematics , economics , operating system

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%. © 2009 SPIE.

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