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Large scale evaluations of multimedia information retrieval: The TRECVid experience

By Alan F. Smeaton

Abstract

Abstract. Information Retrieval is a supporting technique which underpins a broad range of content-based applications including retrieval, filtering, summarisation, browsing, classification, clustering, automatic linking, and others. Multimedia information retrieval (MMIR) represents those applications when applied to multimedia information such as image, video, music, etc. In this presentation and extended abstract we are primarily concerned with MMIR as applied to information in digital video format. We begin with a brief overview of large scale evaluations of IR tasks in areas such as text, image and music, just to illustrate that this phenomenon is not just restricted to MMIR on video. The main contribution, however, is a set of pointers and a summarisation of the work done as part of TRECVid, the annual benchmarking exercise for video retrieval tasks.

Publisher: Springer-Verlag
Year: 2005
OAI identifier: oai:CiteSeerX.psu:10.1.1.134.522
Provided by: CiteSeerX
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