Joint reference frame inter-mode selection for fast H.264 video coding

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Date: Apr. 2016
From: Signal, Image and Video Processing(Vol. 10, Issue 4)
Publisher: Springer
Document Type: Report
Length: 256 words

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Abstract :

To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: Byline: Ahmad A. Mazhar (1), Ayman M. Abdalla (1) Keywords: Macroblock; H.264/AVC; Mode selection; Reference frame selection; Rate-distortion optimization Abstract: The H.264/AVC video coding standard uses multiple reference frames and variable-size macroblock partitions in inter-prediction. This flexibility allows the standard to achieve excellent rate-distortion performance at the cost of high encoding complexity. We present an algorithm for fast joint selection of the reference frames and macroblock partitions in rate-distortion-based coding. Experimental results for eight standard test video sequences show that, compared with exhaustive search, our algorithm can save up to 74.9 % of the encoding time with negligible loss in rate-distortion performance. The presented algorithm is also evaluated using a subjective assessment metric quality evaluation measures based on user satisfaction. Diverse types of video sequences were used with different frame rates, quantization parameters, and resolutions. The effects of changing bit rate and resolution on compression efficiency and viewers' satisfaction are also presented. Results show that our algorithm provides high scores of perceptual satisfaction that are significantly affected by the compression technique. As a result, we claim that our algorithm presents original and significant enhancement compared with exhaustive search. In addition, overall test results showed that our technique outperformed three of the best previously proposed methods and gave higher viewer satisfaction. Author Affiliation: (1) Faculty of Science and I.T., Al-Zaytoonah University of Jordan, Amman, 11733, Jordan Article History: Registration Date: 26/05/2015 Received Date: 18/01/2015 Accepted Date: 23/05/2015 Online Date: 02/06/2015

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Gale Document Number: GALE|A447041937