Video Retrieval Based on Words-of-Interest Selection


Query-by-example video retrieval is receiving an increasing attention in recent years. One of the state-of-art approaches is the Bag-of-visual Words (BoW) based technique, where images are described by a set of local features mapped to a discrete set of visual words. Such techniques, however, ignores spatial relations between visual words. In this paper, we present a content based video retrieval technique based on selected Words-of-Interest (WoI) that utilizes visual words spatial proximity constraint identified from the query. Experiments carried out on a public video database demonstrate promising results of our approach that outperform the classical BoW approach.

DOI: 10.1007/978-3-642-20161-5_71

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@inproceedings{Wang2011VideoRB, title={Video Retrieval Based on Words-of-Interest Selection}, author={Lei Wang and Dawei Song and Eyad Elyan}, booktitle={ECIR}, year={2011} }