Efficient Content-Based Information Retrieval: A New Similarity Measure for Multimedia Data

Abstract

Content-based information retrieval of multimedia data is a great and attractive challenge which raises numerous research activities. As multimedia data become ubiquitous in our daily lives, information retrieval systems have to adapt their retrieval performance to different situations in order to efficiently satisfy the users’ information needs anytime and anywhere. To enhance the content-based multimedia information retrieval process, we propose an efficient similarity measure based on flexible feature representations.We define the similarity model for content-based information retrieval and show its feasibility on real world multimedia data. Furthermore, we briefly discuss future research directions which we plan to investigate.

Contributors

Christian Beecks

Thomas Seidl

Conference

Publication date: September 2009

Publication date (Print): September 2009

Pages: 9-14

Affiliations

Data Management and Data Exploration Group

RWTH Aachen University, Germany

Article

DOI: 10.14236/ewic/FDIA2009.3

Copyright statement: © Christian Beecks et al. Published by BCS Learning and Development Ltd. Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009), Padua, Italy

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009)

Conference acronym: FDIA

Conference number: 3

Conference location: Padua, Italy

Conference date: 1 September 2009

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Computers XXIII Celebrating People and Technology

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/FDIA2009.3

Self URI (journal page): https://ewic.bcs.org/

Categories

Series title: Electronic Workshops in Computing