Title :
A new video coding scheme based upon motion pattern recognition
Author :
Hongsong, Li ; Baohua, Xu
Author_Institution :
Coll. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing
Abstract :
To improve the performances of block-based motion estimation and motion complement (ME+MC), a new object-based video coding scheme using motion pattern recognition (MPR) is proposed and tested in conference video coding. The object pattern codebook for motion pattern recognition is trained by frequency sensitive self-organizing feature maps (FSSOM) algorithm. Experimental results for standard testing sequence dasiaWalter Cronkite framepsila show that FSSOM-MPR algorithm has better prediction coding performances than ME+MC algorithm.
Keywords :
motion estimation; prediction theory; self-organising feature maps; video coding; Walter Cronkite frame; block-based motion estimation; conference video coding; frequency sensitive self-organizing feature maps algorithm; motion complement; motion pattern recognition training; object pattern codebook; object-based video coding scheme; prediction coding; standard testing sequence; Clustering algorithms; Educational institutions; Image coding; Information science; Motion estimation; Pattern recognition; Performance evaluation; Testing; Video coding; Videoconference;
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
DOI :
10.1109/ISSPA.2007.4555519
