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Advances in Multimedia Modeling pp 1–11Cite as

Quality Assessment on User Generated Image for Mobile Search Application

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7733))

Abstract

Quality specified image retrieval is helpful to improve the user experiences in mobile searching and social media sharing. However, the model for evaluating the quality of the user generated images, which are popular in social media sharing, remains unexploited. In this paper, we propose a scheme for quality assessment on user generated image. The scheme is formed by four attribute dimensions, including intrinsic quality, favorability, relevancy and accessibility of images. Each of the dimensions is defined and modeled to pool a final quality score of a user generated image. The proposed scheme can reveal the quality of user generated image in comprehensive manner. Experimental results show that the scores obtained by our scheme have high correlation coefficients with the benchmark data. Therefore, our scheme is suitable for quality specified image retrieval on mobile applications.

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Author information

Authors and Affiliations

  1. Department of Electronics & Information Engineering, Huazhong University of Science & Technology, Wuhan, China

    Qiong Liu & You Yang

  2. Automation Department, Tsinghua University, Beijing, China

    You Yang

  3. Department of Computer Science, City University of Hong Kong, Hong Kong

    Xu Wang

  4. College of Computer Science and Technology, Harbin Engineering University, Harbin, China

    Liujuan Cao

Authors
  1. Qiong Liu
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  2. You Yang
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  3. Xu Wang
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  4. Liujuan Cao
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Editor information

Editors and Affiliations

  1. Microsoft Research Asia, 5 Danling Street, 100080, Beijing, China

    Shipeng Li  & Tao Mei  & 

  2. School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, K1N 6N5, Ottawa, ON, Canada

    Abdulmotaleb El Saddik

  3. School of Computer and Information, Hefei University of Technology, Road Tunxi 193#, 230009, Hefei, Anhui, China

    Meng Wang  & Richang Hong  & 

  4. Department of Information Engineering and Computer Science, University of Trento, ommarive 14, 38100, Trento, Italy

    Nicu Sebe

  5. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, 117583, Singapore, Singapore

    Shuicheng Yan

  6. School of Computing, CLARITY: Centre for Sensor Web Technologies, Dublin City University, Glasnevin, 9, Dublin, Ireland

    Cathal Gurrin

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Liu, Q., Yang, Y., Wang, X., Cao, L. (2013). Quality Assessment on User Generated Image for Mobile Search Application. In: Li, S., et al. Advances in Multimedia Modeling. Lecture Notes in Computer Science, vol 7733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35728-2_1

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  • DOI: https://doi.org/10.1007/978-3-642-35728-2_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35727-5

  • Online ISBN: 978-3-642-35728-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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