Aggregated Feature Retrieval for MPEG-7 via Clustering
Ye, Jiamin and Smeaton, Alan F. (2004) Aggregated Feature Retrieval for MPEG-7 via Clustering. In: SIGIR 2004 - the 27th Annual International ACM SIGIR Conference, 25-29 July 2004, Sheffield, UK.
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In this paper, we describe an approach to combining text and visual features from MPEG-7 descriptions of video. A video retrieval process is aligned to a text retrieval process based on the TF*IDF vector space model via clustering of low-level visual features. Our assumption is that shots within the same cluster are not only similar visually but also semantically, to a certain extent. Our experiments on the TRECVID2002 and TRECVID2003 collections show that adding extra meaning to a shot based on the shots from the same cluster is useful when each video in a collection contains a high proportion of similar shots, for example in documentaries.
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