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Tagging Image with Informative and Correlative Tags

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Web Technologies and Applications (APWeb 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6612))

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Abstract

Automatic tagging can automatically label images with semantic tags to significantly facilitate multimedia search and organization. Existing tagging methods often use probabilistic or co-occurring tags, which may result in ambiguity and noise. In this paper, we propose a novel automatic tagging algorithm which tags a test image with an Informative and Correlative Tag (ICTag) set. The assigned ICTag set can provide a more precise description of the image by exploring both the information capability of individual tags and the tag-to-set correlation. Measures to effectively estimate the information capability of individual tags and the correlation between a tag and the candidate tag set are designed. To reduce the computational complexity, we also introduce a heuristic method to achieve efficient automatic tagging. The experiment results confirm the efficiency and effectiveness of our proposed algorithm.

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References

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Author information

Authors and Affiliations

  1. School of computer, Beihang University, Beijing, 100191, China

    Xiaoming Zhang & Zhoujun Li

  2. Information technology and electrical engineering, University of Queensland, Australia

    Heng Tao Shen & Zi Huang

Authors
  1. Xiaoming Zhang
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  2. Heng Tao Shen
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  3. Zi Huang
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  4. Zhoujun Li
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Editor information

Editors and Affiliations

  1. School of Information, Renmin University of China, 100872, Beijing, China

    Xiaoyong Du

  2. LFCS, School of Informatics, University of Edinburgh, 10 Crichton Street, EH8 9AB, Edinburgh, Scotland, UK

    Wenfei Fan

  3. School of Software, Tsinghua University, Room 819, Main Building, 100084, Beijing, China

    Jianmin Wang

  4. Computer School, Wuhan University, Luojiashan Road, 430072, Wuhan, Hubei, China

    Zhiyong Peng

  5. School of Information Technology and Electrical Engineering, The University of Queensland, QLD 4072, St. Lucia, Australia

    Mohamed A. Sharaf

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© 2011 Springer-Verlag Berlin Heidelberg

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Zhang, X., Shen, H.T., Huang, Z., Li, Z. (2011). Tagging Image with Informative and Correlative Tags. In: Du, X., Fan, W., Wang, J., Peng, Z., Sharaf, M.A. (eds) Web Technologies and Applications. APWeb 2011. Lecture Notes in Computer Science, vol 6612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20291-9_26

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  • DOI: https://doi.org/10.1007/978-3-642-20291-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20290-2

  • Online ISBN: 978-3-642-20291-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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