Adaptive Multimedia Retrieval: User, Context, and Feedback

Adaptive Multimedia Retrieval: User, Context, and Feedback

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This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Adaptive Multimedia Retrieval, held in September 2005. The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement. Also included are three invited papers by leading researchers in the area to illustrate the core topics of the workshop: User, Context and Feedback. The papers are organized in topical sections on ranking, systems, spatio-temporal relations, using feedback, using context, and meta data.1 Introduction It is generally accepted that providing effective access to time- based data is the most challenging aspect of multimedia information retrieval. Unlike text, a medium for which there is a large and well established body of information retrieval methodology [1], time-based media recordings such as audio and ... Since manual annotation is mostly impractical given the large and increasing volumes of time-based recordings available, automated solutions have been sought.

Title:Adaptive Multimedia Retrieval: User, Context, and Feedback
Author:Marcin Detyniecki, Joemon M. Jose, Andreas Nürnberger, C. J. van Rijsbergen
Publisher:Springer Science & Business Media - 2006-02-13


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