Title :
Local intensity compensation using sparse representation
Author :
Inoue, Ken ; Saito, Hiroshi ; Kuroki, Yoshimitsu
Author_Institution :
Kurume Nat. Coll. of Technol., Kurume, Japan
Abstract :
This paper proposes a motion compensation method using sparse representation for video coding technique. A new generation video compression technology known as the HEVC (High Efficiency Video Coding) suggests a novel motion compensation called local intensity compensation. Local intensity compensation represents a current block by a linear combination of some reference blocks. In this study, the weight coefficients of the linear combination are calculated by sparse representation. Sparse representation is able to obtain many zero coefficients, thus the current block can be represented by a few and meaningful reference blocks. The experimental observations demonstrate that the quality of local intensity compensation increases by sparse representation.
Keywords :
image representation; motion compensation; sparse matrices; video coding; HEVC; high efficiency video coding technique; linear combination; local intensity compensation; new generation video compression technology; novel motion compensation method; reference blocks; sparse representation; weight coefficients; zero coefficients; Mobile communication; Motion compensation; Standards; Transform coding; Vectors; Video coding; Video compression;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4