About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
ICIP 2002
Conference paper
Interactive content-based retrieval of video
Abstract
In this paper, we describe a system for content-based retrieval of video that involves a series of query interactions with the user. The proposed approach allows the user to iteratively and selectively integrate different feature- and model-based methods of querying in the search process. This allows the user to choose among different retrieved content, features and matching dimensions, and classifiers, as appropriate, given the query objective and interim retrieval results. We investigate several approaches for integrating feature- and model-based queries and results in successive query rounds including iterative filtering, score aggregation, and relevance feedback searching. We describe experimental results of applying the interactive content-based retrieval method to an automatically indexed corpus of 11 hours of video.