Multi-pass algorithm of motion estimation in video encoding for generic GPU

The importance of video encoding has boomed rapidly since video data communication was widely needed. In this paper, we propose a multi-pass algorithm to accelerate the motion estimation (ME), the dominant part in video encoding, with the graphics processing unit (GPU). By the multi-pass method to u...

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Bibliographic Details
Main Authors: Yu-Cheng Lin, Pei-Lun Li, Chin-Hsiang Chang, Chi-Ling Wu, You-Ming Tsao, Shao-Yi Chien
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Data communication
Data engineering
Decoding
Encoding
Graphics
Motion estimation
Parallel processing
Pipelines
Streaming media
Online Access:Request full text
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Summary:The importance of video encoding has boomed rapidly since video data communication was widely needed. In this paper, we propose a multi-pass algorithm to accelerate the motion estimation (ME), the dominant part in video encoding, with the graphics processing unit (GPU). By the multi-pass method to unroll and rearrange the multiple nested loops, the complex ME can be implemented on GPU. Besides, ME can be executed efficiently with the built-in parallel processing and texture filter of GPU. Experimental results show that, by utilizing the computing power of GPU, about two times and 14 times speed-up can be achieved for integer-pel ME and MPEG-1/2 half-pel ME, respectively
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2006.1693617