Abstract:A probabilistic framework for content-based interactive video retrieval is described. The developed indexing of video fragments is originated 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 estimate are picked out, the rest is replaced by an appropriate constant allowing efficient access at search time without loss of the search quality and leading to i… Show more
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