DocumentCode
3542858
Title
Optimizing user expectations for video semantic filtering and abstraction
Author
Lin, Ching-Yung ; Tseng, Belle L.
Author_Institution
IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA
fYear
2005
fDate
23-26 May 2005
Firstpage
1250
Abstract
We describe a novel automatic system that generates personalized videos based on semantic filtering or summarization techniques. This system uses a new set of more than one hundred visual semantic detectors that automatically detect video concepts in faster than realtime. Based on personal profiles, the system generates either video summaries from video databases or filtered video contents from live broadcasting videos. The prototype experiments have shown the effectiveness and stabilities of the system.
Keywords
image classification; optimisation; video signal processing; personalized video generation; semantic summarization; user expectation optimization; video abstraction; video concepts; video semantic filtering; visual semantic detectors; Detectors; Displays; Engines; Filtering; Laboratories; MPEG 7 Standard; Middleware; National electric code; Prototypes; Visual databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN
0-7803-8834-8
Type
conf
DOI
10.1109/ISCAS.2005.1464821
Filename
1464821
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