Toward an adaptive video retrieval system

Hopfgartner, F. and Jose, J. M. (2009) Toward an adaptive video retrieval system. In: Angelides, M. C., Mylonas, P. and Wallace, M. (eds.) Advances in Semantic Media Adaptation and Personalization. CRC Press: Boca Raton, FL, pp. 113-135. ISBN 9781420076646

Abstract

Unlike text retrieval systems, retrieval of digital video libraries is facing a challenging problem: the semantic gap. Th is is the diff erence between the low-level data representation of videos and the higher level concepts that a user associates with video. In 2005, the panel members of the International Workshop on Multimedia Information Retrieval identifi ed this gap as one of the main technical problems in multimedia retrieval (Jaimes et al. 2005), carrying the potential to dominate the research eff orts in multimedia retrieval for the next few years. Retrievable information such as textual sources of video clips (i.e., speech transcripts) is often not reliable enough to describe the actual content of a clip. Moreover, the approach of using visual features and automatically detecting high-level concepts, which have been the main focus of study within the international video processing and evaluation campaign TRECVID (Smeaton et al. 2006), turned out to be insuffi cient to bridge the semantic gap.

• Item Type: Book Sections
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Hopfgartner, Dr Frank
• Authors: Hopfgartner, F., and Jose, J. M.
• College/School: College of Arts & Humanities > School of Humanities > Information Studies; College of Science and Engineering > School of Computing Science
• Publisher: CRC Press
• ISBN: 9781420076646
• Copyright Holders: Copyright © 2009 Taylor and Francis Group, LLC
• First Published: First published in Advances in Semantic Media Adaptation and Personalization: 113-135
• Publisher Policy: Reproduced in accordance with the publisher copyright policy