Title :
H.264/MPEG-4 AVC Encoder Parameter Selection Algorithms for Complexity Distortion Tradeoff
Author :
Vanam, Rahul ; Riskin, Eve A. ; Ladner, Richard E.
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA
Abstract :
The H.264 encoder has input parameters that determine the bit rate and distortion of the compressed video and the encoding complexity. A set of encoder parameters is referred to as a parameter setting. We previously proposed two offline algorithms for choosing H.264 encoder parameter settings that have distortion-complexity performance close to the parameter settings obtained from an exhaustive search, but take significantly fewer encodings. However they generate only a few parameter settings. If there is no available parameter settings for a given encode time, the encoder will need to use a lower complexity parameter setting resulting in a decrease in peak-signal-to-noise-ratio (PSNR). In this paper, we propose two algorithms for finding additional parameter settings over our previous algorithm and show that they improve the PSNR by up to 0.71 dB and 0.43 dB, respectively. We test both our algorithms on Linux and PocketPC platforms.
Keywords :
computational complexity; data compression; distortion; encoding; search problems; set theory; video coding; H.264/MPEG-4 AVC encoder; complexity distortion tradeoff; data compression; parameter selection; peak-signal-to-noise-ratio; video ciding; Automatic voltage control; Bandwidth; Bit rate; Cellular phones; Delay; Encoding; MPEG 4 Standard; PSNR; Quantization; Video compression; Distortion-complexity optimization; GBFOS-basic algorithm; controlled local search algorithm; dominant parameter setting pruning algorithm; video compression;
Conference_Titel :
Data Compression Conference, 2009. DCC '09.
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-4244-3753-5
DOI :
10.1109/DCC.2009.53