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

L. Boldareva, Djoerd Hiemstra

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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.
Original languageUndefined
Article number10.1049/ip-vis:20045201
Pages (from-to)919-926
Number of pages8
JournalIEE proceedings - Vision, image and signal processing
Volume152
Issue number152(6)
DOIs
Publication statusPublished - 9 Dec 2005

Keywords

  • DB-MMR: MULTIMEDIA RETRIEVAL
  • IR-66230
  • METIS-225873
  • EWI-6259

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