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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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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Video retrieval; MPEG-7; TRECVID; clustering;
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Association for Computing Machinery
Official URL:http://dx.doi.org/10.1145/1008992.1009097
Copyright Information:© ACM, 2004. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
Funders:Enterprise Ireland, EU IST-2000-32795
ID Code:374
Deposited On:28 Mar 2008 by DORAS Administrator. Last Modified 06 May 2010 13:31

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