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Personalization in multimedia retrieval: A survey

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Abstract

With the explosive broadcast of multimedia (text documents, image, video etc.) in our life, how to annotate, search, index, browse and relate various forms of information efficiently becomes more and more important. Combining these challenges by relating them to user preference and customization only complicates the matter further. The goal of this survey is to give an overview of the current situation in the branches of research that are involved in annotation, relation and presentation to a user by preference. This paper will present some current models and techniques being researched to model ontology, preference, context, and presentation and bring them together in a chain of ideas that leads from raw uninformed data to an actual usable user interface that adapts with user preference and customization.

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Notes

  1. Courtesy to the FACS Consortium.

  2. The idea of I-Objects and part of the description come from discussions and documents created during the FACS consortium interactions.

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Acknowledgements

We would like to thank Dick Bulterman, Stavros Christodoulakis, Chabane Djeraba, Daniel Gatica-Perez, Thomas Huang, Alex Jaimes, Ramesh Jain, Mike Lew, Andy Rauber, Pasquale Savino, Arnold Smeulders, and the whole FACS consortium for excellent suggestions and discussions. The work of Nicu Sebe has been supported by the FP7 IP GLOCAL european project and by the FIRB S-PATTERN project. The work of Yijuan Lu was supported in part by the Research Enhancement Program (REP) and start-up funding from the Texas State University.

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Authors and Affiliations

  1. Department of Computer Science, Texas State University, San Marcos, TX, 78666, USA

    Yijuan Lu & Ross Hytnen

  2. Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 14-38100 Povo, Trento, Italy

    Nicu Sebe

  3. Computer Science Department, University of Texas at San Antonio, San Antonio, TX, 78249, USA

    Qi Tian

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Lu, Y., Sebe, N., Hytnen, R. et al. Personalization in multimedia retrieval: A survey. Multimed Tools Appl 51, 247–277 (2011). https://doi.org/10.1007/s11042-010-0621-0

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