City Research Online

Abstract

Various kinds of knowledge organisation (such as thesauri) are routinely used to label or tag multimedia content such as images and music, to support information retrieval i.e. user search for such content. In this paper we outline why this is the case, in particular focusing on the semantic gap between content and concept based multimedia retrieval. We survey some indexing vocabularies used for multimedia retrieval, and argue that techniques such as thesauri will be needed for the foreseeable future in order to support users in their need for multimedia content. In particular we argue that Artificial Intelligence (A.I.) techniques are not mature enough to solve the problem of indexing multimedia conceptually, and will not be able to replace human indexers for the foreseeable future.

Publication Type:	Article
Subjects:	Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments:	School of Science & Technology > Computer Science
SWORD Depositor:	Symplectic Administrator

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