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10 January 2003 Role of classifiers in multimedia content management
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Proceedings Volume 5021, Storage and Retrieval for Media Databases 2003; (2003) https://doi.org/10.1117/12.479746
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
Enabling semantic detection and indexing is an important task in multimedia content management. Learning and classification techniques are increasingly relevant to the state of the art content management systems. From relevance feedback to semantic detection, there is a shift in the amount of supervision that precedes retrieval from light weight classifiers to heavy weight classifiers. In this paper we compare the performance of some popular classifiers for semantic video indexing. We mainly compare among other techniques, one technique for generative modeling and one for discriminant learning and show how they behave depending on the number of examples that the user is willing to provide to the system. We report results using the NIST TREC Video Corpus.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Milind Ramesh Naphade and John R. Smith "Role of classifiers in multimedia content management", Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); https://doi.org/10.1117/12.479746
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