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

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

Computers XXIII Celebrating People and Technology

1 September 2009

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      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.

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      Comparing images using the Hausdorff distance

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        Relevance weighting of search terms

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          SIMPLIcity: semantics-sensitive integrated matching for picture libraries

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            Author and article information

            Affiliations
            Data Management and Data Exploration Group

            RWTH Aachen University, Germany
            Contributors
            Conference
            September 2009
            September 2009
            : 9-14
            10.14236/ewic/FDIA2009.3
            © 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

            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/

            Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009)
            FDIA
            3
            Padua, Italy
            1 September 2009
            Electronic Workshops in Computing (eWiC)
            Computers XXIII Celebrating People and Technology
            Product
            Product Information: 1477-9358 BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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