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Enhancing heterogeneous similarity estimation via neighborhood reversibility

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Abstract

With the popularity of social networks, people can easily generate rich content with multiple modalities. How to effectively and simply estimate the similarity of multi-modal content is becoming more and more important for providing better information searching service of rich media. This work attempts to enhance the similarity estimation so as to improve the accuracy of multi-modal data searching. Toward this end, a novel multi-modal feature extraction approach, which involves the neighborhood reversibility verifying of information objects with different modalities, is proposed to build reliable similarity estimation among multimedia documents. By verifying the neighborhood reversibility in both single- and multi-modal instances, the reliability of multi-modal subspace can be remarkably improved. In addition, a new adaptive strategy, which fully employs the distance distribution of returned searching instances, is proposed to handle the neighbor selection problem. To further address the out-of-sample problem, a new prediction scheme is proposed to predict the multi-modal features for new coming instances, which is essentially to construct an over-complete set of bases. Extensive experiments demonstrate that introducing the neighborhood reversibility verifying can significantly improve the searching accuracy of multi-modal documents.

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Acknowledgments

This work was supported in part by National Natural Science Foundation of China (No.61572065, No.61532005), Joint Fund of Ministry of Education of China and China Mobile (No.MCM20160102), and Fundamental Research Funds for the Central Universities (No.2015JBM028, No.2015JBZ002).

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Authors and Affiliations

  1. Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China

    Shikui Wei, Yao Zhao & Tao Yang

  2. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

    Zhili Zhou

  3. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China

    Shiming Ge

Authors
  1. Shikui Wei
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  2. Yao Zhao
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  3. Tao Yang
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  4. Zhili Zhou
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  5. Shiming Ge
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Correspondence to Shikui Wei.

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Cite this article

Wei, S., Zhao, Y., Yang, T. et al. Enhancing heterogeneous similarity estimation via neighborhood reversibility. Multimed Tools Appl 77, 1437–1452 (2018). https://doi.org/10.1007/s11042-017-4347-0

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  • DOI: https://doi.org/10.1007/s11042-017-4347-0

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