Content-Based Diversifying Leaf Image Retrieval

  • Sheng-Ping Zhu
  • Ji-Xiang Du
  • Chuan-Min Zhai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7996)


In recent years, content-based image retrieval achieved continuous development, the main goal so far has been to retrieve similar objects for a given query, and only the relevance is cared in retrieval system, so many duplicate or near duplicate documents retrieved in response to a query. For efficient content-based image retrieval, we propose the Content-based Diversifying Leaf Image Retrieval in this paper. In order to make the retrieval results have relevance and diversity, we extract leaf image feature and use the relevance feedback technique based of SVM and the AP clustering algorithm. We also proposed a new evaluation function - Maximal Scatter Diversity (MSD) static evaluation function. Experimental results show that our approach can achieve good performance with improving the diversity of the retrieval results without reduction of their relevance.


diversity retrieval relevance feedback AP clustering Maximal Scatter Diversity 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Wang, Z.-Y., Chi, Z.-R., Feng, D.-G., Wang, Q.: Leaf Image Retrieval with Shape Features. In: Laurini, R. (ed.) VISUAL 2000. LNCS, vol. 1929, pp. 477–487. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  2. 2.
    Wang, Z.-Y., Chi, Z.-R., Feng, D.-G.: Fuzzy Integral for Leaf Image Retrieval. In: Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2002, pp. 372–377. IEEE, Piscataway (2002)Google Scholar
  3. 3.
    Wang, Z.-Y., Chi, Z.-R., Feng, D.-G.: Shape based Leaf Image Retrieval. IEE Proceedings Vision, Image and Signal Processing- IET 150, 34–43 (2003)CrossRefGoogle Scholar
  4. 4.
    Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Analysis and Machine Intelligence 22, 1349–1380 (2000)CrossRefGoogle Scholar
  5. 5.
    Tong, S., Chang, E.: Support vector machine active learning for image retrieval. In: MULTIMEDIA 2001, Proceedings of the 9th ACM International Conference on Multimedia, pp. 107–118. ACM, New York (2001)CrossRefGoogle Scholar
  6. 6.
    Carbonell, J., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: SIGIR 1998, Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 335–336. ACM, New York (1998)CrossRefGoogle Scholar
  7. 7.
    Zhao, Z.-Q., Glotin, H.: Diversifying Image Retrieval by Affinity Propagation Clustering on Visual Manifolds. IEEE Mutimedia 16, 34–43 (2009)CrossRefGoogle Scholar
  8. 8.
    Oliva, A., Torralba, A.: Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. International Journal of Computer Vision 42, 145–175 (2001)zbMATHCrossRefGoogle Scholar
  9. 9.
    Bosch, A., Zisserman, A., Munoz, X.: Representing shape with a spatial pyramid kernel. In: CIVR 2007, Proceedings of the 6th ACM International Conference on Image and Video Retrieval, pp. 401–408. ACM, New York (2007)Google Scholar
  10. 10.
    Zhou, X.S., Huang, T.S.: Relevance feedback in image retrieval: a comprehensive review. Multimedia Systems 8, 536–544 (2003)CrossRefGoogle Scholar
  11. 11.
    Zhang, L., Lin, F.-Z., Zhang, B.: Support Vector Machine Learning for Image Retrieval. In: Proceedings of 2001 International Conference on Image Processing, vol. 2, pp. 721–724. IEEE Computer Society, Washington (2001)Google Scholar
  12. 12.
    Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology (TIST) 2(3), 27 (2011)Google Scholar
  13. 13.
    Frey, B.J., Dueck, D.: Clustering by passing messages between data points. Science 315, 972–976 (2007)MathSciNetzbMATHCrossRefGoogle Scholar
  14. 14.
    Plant Identification (2012),

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Sheng-Ping Zhu
    • 1
  • Ji-Xiang Du
    • 1
  • Chuan-Min Zhai
    • 1
  1. 1.Department of Computer Science and TechnologyHuaqiao UniversityXiamenChina

Personalised recommendations