DocumentCode :
3125372
Title :
Adapting Surneillance Video to Small Displays Via Object-Based Cropping
Author :
Herranz, Luis ; Martinez, J.M.
Author_Institution :
Univ. Autonoma de Madrid, Madrid
fYear :
2007
fDate :
6-8 June 2007
Firstpage :
72
Lastpage :
72
Abstract :
The increasing availability of small mobile devices capable of playing video, such as PDAs and phones, makes possible their use for new video applications. In these small resolution devices, adaptation is essential to maximize the utility of the delivered content improving the user experience. Content analysis usually helps to detect the interesting parts trying to focus the adaptation on them. In this paper, we propose adaptive cropping as a useful method to deliver adapted video with the objects of interest for the user. Window filtering is used to cope with detection errors, and also to remove annoying artefacts as flickering and unnatural motion in the adaptation window. Two cases are studied: fixed size adaptation window and fixed aspect ratio adaptation window. Although the algorithms presented are generic, in this paper we focus on video surveillance sequences.
Keywords :
display devices; image resolution; image sequences; mobile computing; video surveillance; adapting video surveillance sequence; mobile display device; object-based adaptive cropping; small resolution devices; window filtering; Background noise; Bit rate; Cameras; Centralized control; Displays; Filtering; Filters; Motion detection; Personal digital assistants; Video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis for Multimedia Interactive Services, 2007. WIAMIS '07. Eighth International Workshop on
Conference_Location :
Santorini
Print_ISBN :
0-7695-2818-X
Electronic_ISBN :
0-7695-2818-X
Type :
conf
DOI :
10.1109/WIAMIS.2007.16
Filename :
4279180
Link To Document :
بازگشت