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Automatic relevance feedback for video retrieval | IEEE Conference Publication | IEEE Xplore

Automatic relevance feedback for video retrieval


Abstract:

The paper presents an automatic relevance feedback method for improving retrieval accuracy in video databases. We first demonstrate a representation based on a template-f...Show More

Abstract:

The paper presents an automatic relevance feedback method for improving retrieval accuracy in video databases. We first demonstrate a representation based on a template-frequency model (TFM) that allows the full use of the temporal dimension. We then integrate the TFM with a self-training neural network structure to capture adaptively different degrees of visual importance in a video sequence. Forward and backward signal propagation is the key in this automatic relevance feedback method in order to enhance retrieval accuracy.
Date of Conference: 06-10 April 2003
Date Added to IEEE Xplore: 21 May 2003
Print ISBN:0-7803-7663-3
Print ISSN: 1520-6149
Conference Location: Hong Kong, China

References

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