Context based semantics for multimodal retrieval
EntityUAM. Departamento de Ingeniería Informática
PublisherSociety of Photo-Optical Instrumentation Engineers
10.1117/12.807621Proceedings SPIE 7255, Multimedia Content Access: Algorithms and Systems III, 72550C. Ed. Raimondo Schettini, Ramesh C. Jain, Simone Santini. SPIE 2009
ISSN0277-786X (print); 1996-756X (online)
NoteAlexandra Dumitrescu, Simone Santini, "Context based semantics for multimodal retrieval", Proc. SPIE 7255, Multimedia Content Access: Algorithms and Systems III, 72550C (2009). Copyright 2009 Society of Photo‑Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited
RightsCopyright 2009 Society of Photo-Optical Instrumentation Engineers
This paper proposes an alternative to formal annotation for the representation of semantics, and presents an extension to it capable of handling multimedia (text and images) documents. The article argues that meaning is not a property of a document, but an outcome of a contextualized and situated process of interpretation. The consequence of this position is that one should not quite try to represent the meaning of a document (the way formal annotation does), but the context of the activity of which search is part. We present some general considerations on the representation and use of the context, and a simple example of a technique to encode the context represented by the documents collected in the computer in which one is working, and to use them to direct search. We show preliminary results showing that even this rather simpleminded context representation can lead to considerable improvements with respect to commercial search engines both for text and images.
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