Inter Frame Video Compression With Large Dictionaries of Tilings: Algorithms for Tiling Selection and Entropy Coding

We propose the use of large tree-structured dictionaries of tilings for video compression. Our first contribution is the construction of a rate-distortion cost function that admits fast search algorithms to select the optimal tiling for the motion compensation stage of a video coder. The computation...

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Bibliographic Details
Published in:	IEEE transactions on circuits and systems for video technology Vol. 22; no. 8; pp. 1136 - 1149
Main Authors:	Kai-Lung Hua, Rong Zhang, Comer, M., Pollak, I.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.08.2012 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Bismuth Circuit properties Coders Coding, codes Computation Cost control Cost function Dictionaries Electric, optical and optoelectronic circuits Electronic circuits Electronics Encoding Entropy Exact sciences and technology H.264/AVC Image processing Information, signal and communications theory Integrated circuits Integrated circuits by function (including memories and processors) Motion compensation Prediction algorithms Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Signal and communications theory Signal convertors Signal processing Studies Telecommunications and information theory Tiling tree-structured dictionaries Vectors Video compression Video coding Performance evaluation Dictionaries Image processing Data compression Video signal Information rate Video signal processing Image coding Image sequence 16 bit Processor Cost function Motion compensation Fast algorithm Coding circuit Rate distortion theory Entropy codes Image compression Tree structure H.264/AVC Information transmission Search algorithm Computation time Algorithm performance Arithmetic code Signal processing tree-structured dictionaries
ISSN:	1051-8215, 1558-2205
Online Access:	Get full text
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