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A Bi-objective Optimization Model for Interactive Face Retrieval

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Advances in Multimedia Modeling (MMM 2011)

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Abstract

In this paper, based on Bayesian relevance feedback methods, we propose a novel interactive face retrieving model based on two objective functions, one is the Maximum a Posterior (MAP) and the other is maximization of mutual information. The proposed bi-objective optimization model aims at minimizing both the number of interactive iterations and the average length of iterations. Moreover, we deduce a top-bottom search algorithm to solve the proposed. Experiments with real testers prove that the proposed algorithm could largely improve the interactive searching efficiency in face databases.

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Fang, Y., Cai, Q., Luo, J., Dai, W., Lou, C. (2011). A Bi-objective Optimization Model for Interactive Face Retrieval. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_37

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  • DOI: https://doi.org/10.1007/978-3-642-17829-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17828-3

  • Online ISBN: 978-3-642-17829-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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