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A Web Portal for Effective Multi-model Exploration

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MultiMedia Modeling (MMM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8936))

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Abstract

During last decades, there have emerged various similarity models suitable for specific similarity search tasks. In this paper, we present a web-based portal that combines two popular similarity models (based on feature signatures and SURF descriptors) in order to improve the recall of multimedia exploration. Comparing to single-model approach, we demonstrate in the game-like fashion that a multi-model approach could provide users with more diverse and still relevant results.

This research has been supported in part by Czech Science Foundation projects P202/11/0968, P202/12/P297 and SVV project 2014-260100.

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References

  1. A Web Portal For Effective Multi-model Exploration, SIRET Research Group (2014), http://herkules.ms.mff.cuni.cz/find-the-image

  2. Bay, H., Tuytelaars, T., Van Gool, L.: SURF: Speeded up robust features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part I. LNCS, vol. 3951, pp. 404–417. Springer, Heidelberg (2006)

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  3. Beecks, C., Uysal, M.S., Seidl, T.: Signature quadratic form distance. In: Proceedings of the ACM International Conference on Image and Video Retrieval, CIVR 2010, pp. 438–445. ACM, New York (2010)

    Google Scholar 

  4. Budikova, P., Batko, M., Zezula, P.: Evaluation platform for content-based image retrieval systems. In: Gradmann, S., Borri, F., Meghini, C., Schuldt, H. (eds.) TPDL 2011. LNCS, vol. 6966, pp. 130–142. Springer, Heidelberg (2011)

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  5. Lokoč, J., Grošup, T., Skopal, T.: Image exploration using online feature extraction and reranking. In: Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR 2012, pp. 66:1–66:2. ACM, New York (2012)

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  6. Lokoč, J., Grošup, T., Čech, P., Skopal, T.: Towards efficient multimedia exploration using the metric space approach. In: 2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI), pp. 1–4 (June 2014)

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© 2015 Springer International Publishing Switzerland

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Grošup, T., Čech, P., Lokoč, J., Skopal, T. (2015). A Web Portal for Effective Multi-model Exploration. In: He, X., Luo, S., Tao, D., Xu, C., Yang, J., Hasan, M.A. (eds) MultiMedia Modeling. MMM 2015. Lecture Notes in Computer Science, vol 8936. Springer, Cham. https://doi.org/10.1007/978-3-319-14442-9_37

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  • DOI: https://doi.org/10.1007/978-3-319-14442-9_37

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14441-2

  • Online ISBN: 978-3-319-14442-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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