Interactive retrieval of video using pre-computed shot-shot similarities

Boldareva, L. and Hiemstra, D. (2005) Interactive retrieval of video using pre-computed shot-shot similarities. IEE Vision, Image and Signal Processing, 152 (6). pp. 919-926. ISSN 1350-245X

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Abstract:	A probabilistic framework for content-based interactive video retrieval is described. The developed indexing of video fragments originates from the probability of the user's positive judgment about key-frames of video shots. Initial estimates of the probabilities are obtained from low-level feature representation. Only statistically significant estimates are picked out, the rest are replaced by an appropriate constant allowing efficient access at search time without loss of search quality and leading to improvement in most experiments. With time, these probability estimates are updated from the relevance judgment of users performing searches, resulting in further substantial increases in mean average precision.
Item Type:	Article
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Databases (DB)
Link to this item:	http://purl.utwente.nl/publications/66230
Official URL:	http://dx.doi.org/10.1049/ip-vis:20045201
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