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
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;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1464821
