Abstract
Different from the traditional image retrieval systems, our retrieval framework bases on feature elements but not feature vectors. The retrieval task is to judge whether the image holds the feature elements of the demand set. As the opposite interactive tool to the relevance feedback for the current feature vector based retrieval, this paper proposes a new approach: association feedback. It analyzes synthetically the feedback data, retrieval history and existing result to find out the associated elements that potentially hit the retrieval target. And it can easily implement interest switch, by using associated part as the bridge. Experimental result shows inspiring future for the new approach.
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Xu, Y., Zhang, Y. (2001). Association Feedback: A Novel Tool for Feature Elements Based Image Retrieval. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_65
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DOI: https://doi.org/10.1007/3-540-45453-5_65
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