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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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          Most cited references 5

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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

                Contributors
                Conference
                September 2009
                September 2009
                : 9-14
                Affiliations
                Data Management and Data Exploration Group

                RWTH Aachen University, Germany
                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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