@inproceedings{2d8738da88a34ba0824bfcc196b30de5,
title = "Coding mode determination by using fuzzy logic in H.264 motion estimation",
abstract = "Although exhaustively searching over all possible partition modes to choose the best coding mode for each macroblock improves the coding efficiency in H.264/AVC motion estimation, ,it has a lot of computational complexity. This paper proposes a fast algorithm to select the coding mode such that the number of candidate modes to be searched in motion estimation is significantly reduced and the coding picture quality is almost remained. The necessity of doing motion estimation in the current coding macroblock is determined by its previous corresponding macroblock information. If the motion estimation is necessary, fuzzy logic technique is used to classify the most appropriate mode for the motion estimation in H.264/AVC video coding. The simulation results show that the encoding time in the proposed algorithm is reduced to 55.7%~70% of the time searching for all coding modes exhaustively and the coded picture quality and bit rate are not influenced almost.",
keywords = "Fuzzy logic, H.264/AVC, Mode decision, Motion estimation, Text characteristic",
author = "Lee, {Pei Jun} and Chang, {Han Kui} and Huang, {Shun Hsing} and Wang, {Wen June}",
note = "Funding Information: This work made use of data supplied by the UK Swift Science Data Centre at the University of Leicester. PAE and JPO acknowledge UK Space Agency support. JMG gratefully acknowledges the support from NASA under award NNH13CH61C. We thank the anonymous referee for their helpful and constructive feedback on the manuscript.; 2009 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2009 ; Conference date: 14-06-2009 Through 17-06-2009",
year = "2009",
doi = "10.1109/NAFIPS.2009.5156486",
language = "???core.languages.en_GB???",
isbn = "9781424445776",
series = "Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS",
booktitle = "NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society",
}