DocumentCode :
3629146
Title :
Automatic extraction of important objects for an MPEG-7 compliant video database system
Author :
Muhammet Bastan;Ugur Gudukbay;Ozgur Ulusoy
Author_Institution :
Bilgisayar M?hendisli?i B?l?m?, Bilkent ?niversitesi, Ankara, Turkey
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
We describe a method to automatically extract video objects, which are important for object-based indexing of videos in an MPEG-7 compliant video database system. Most of the existing salient object detection approaches detect visually conspicuous image structures, while our method aims to find regions that may be important for indexing in a video database system. Our method works on a shot basis. We first segment each frame to obtain homogeneous regions in terms of color and texture. Then, we extract a set of local and global color, shape, texture and motion features for each region. Finally, the regions are classified as being salient or non-salient using SVMs trained on a few hundreds of example regions. Experimental results from news video segments show that the proposed method is more effective in extracting the important regions in terms of human visual perception.
Keywords :
"Transform coding","Conferences","Pattern recognition","Support vector machines","Computer vision","Image segmentation","Database systems"
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
ISSN :
2165-0608
Print_ISBN :
978-1-4244-1998-2
Type :
conf
DOI :
10.1109/SIU.2008.4632733
Filename :
4632733
Link To Document :
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