DocumentCode
1711158
Title
Dynamic texture synthesis for video compression
Author
Bansal, Shruti ; Chaudhury, Santanu ; Lall, Brejesh
Author_Institution
Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India
fYear
2013
Firstpage
1
Lastpage
5
Abstract
In this paper, a dynamic texture based compression scheme is devised for videos. Correspondence analysis is explored for the analysis of motion patterns in a video on the basis of optic flow data and then clusters of different motion patterns are created. Dynamic textures tend to disobey Horn and Schunck´s assumption of brightness constancy and hence, optic flow residual is used as an indicator of their presence. The correspondence analysis results and optic flow residual are combined together in a new segmentation scheme. The optic flow data tracks the motion of groups of pixels to generate the flow lines. These flow lines are used in a synthesis scheme for creating an illusion of continuously flowing texture. The integration of this synthesis scheme in the compression format gives us considerable bit stream reduction corresponding to the dynamic texture regions. The scheme is integrated with standard H.264/AVC model, texture regions that do not fall under the above precinct of dynamic textures and non-texture regions are encoded-decoded by the H.264 model directly.
Keywords
Computer vision; Decoding; Dynamics; Image motion analysis; Industries; Motion segmentation; Optical imaging; Correspondence analysis; flow line; optic flow residue; particle matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (NCC), 2013 National Conference on
Conference_Location
New Delhi, India
Print_ISBN
978-1-4673-5950-4
Electronic_ISBN
978-1-4673-5951-1
Type
conf
DOI
10.1109/NCC.2013.6487938
Filename
6487938
Link To Document