DocumentCode
1916752
Title
Scene-Aware Video Modeling and Compression
Author
Georgiadis, Georgios ; Soatto, Stefano
Author_Institution
Dept. of Comput. Sci., Univ. of California, Los Angeles, CA, USA
fYear
2012
fDate
10-12 April 2012
Firstpage
149
Lastpage
158
Abstract
We describe a video compression methodology that exploits the structure of the data formation process, whereby the "source\´\´ is the scene, and the ``channel\´\´ includes scaling and occlusion phenomena that are critical elements of image formation. Thus our scheme involves occlusion detection, optical flow computation, texture/structure partition, and a notion of proper sampling. We show preliminary but promising results that exceed baseline compression performance, albeit at an increased computational cost.
Keywords
data compression; image texture; object detection; video coding; baseline compression performance; computational cost; data formation process; image formation; occlusion detection; optical flow computation; scene-aware video compression; scene-aware video modeling; texture-structure partition; Image coding; Image segmentation; Motion segmentation; Optical imaging; Quantization; Redundancy; Tracking; scene modeling; video compression; video modeling; video representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2012
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-1-4673-0715-4
Type
conf
DOI
10.1109/DCC.2012.23
Filename
6189246
Link To Document