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papers > dimitrova01
Nevenka Dimitrova and Radu Jasinschi and Lalitha Agnihotri and John Zimmerman and Thomas McGee and Dongge Li (2001).
Personalizing video recorders using multimedia processing and integration.
Proceedings of the ninth ACM international conference on Multimedia pp.564--567.
http://doi.acm.org/10.1145/500141.500243
Abstract
Current personal Video recorders make it very easy for consumers to record whole TV programs. Our research however, focuses on personalizing TV at a sub-program level. We use a traditional Content-Baaed Information Retrieval system architecture consisting of archiving and retrieval modules. The archiving module employs a three-layered, multimodal integration framework to segment, analyze, characterize, and classify segments. The retrieval module relies on usersÂ’ personal preferences to deliver both full programs and video segments of interest. We tested retrieval concepts with real users and discovered that they see more value in segmenting non-narrative programs (e.g. news) than narrative programs (e.g. movies). We benchmarked individual algorithms and segment classification for celebrity and financial segments as instances of non-narrative content. For celebrity segments we obtained a total precision of 94.1% and recall of 85.7%, and for financial segments a total precision of 8 1.1% and a recall of 86.9%.
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