Locating Salient Edges for CBIR Based on Visual Attention Model

  • Feng Songhe
  • Xu De
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4221)


Visual attention model was usually used for salient region detection. However, little work has been employed to use the model for salient edge extraction. Since edge information is also important element to represent the semantic content of an image, in this paper, attention model is extended for salient edges detection. In our approach, an improved saliency map computing algorithm is employed first. Then, based on the saliency map, a novel and efficient salient edges detection method is introduced. Moreover, the concept of salient edge histogram descriptors (SEHDs) is proposed for image similarity comparison. Experiments show that the proposed algorithm works well.


Image Retrieval Salient Object Salient Region Edge Information Visual Attention Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Datta, R., Li, J., Wang, J.Z.: Content-Based Image Retrieval - Approaches and Trends of the New Age. In: ACM MIR (2005)Google Scholar
  2. 2.
    Hu, Y., Xie, X., Ma, W.Y., Rajan, D., Chia, L.T.: Salient object extraction combining visual attention and edge information. Technical Report (2004)Google Scholar
  3. 3.
    Wang, S., Kubota, T., Siskind, J.M., Wang, J.: Salient Closed Boundary Extraction with Ratio Contour. IEEE Trans on Pattern Analysis and Machine Intelligence 27(4), 546–561 (2005)CrossRefGoogle Scholar
  4. 4.
    Elder, J., Zucker, S.: Computing contour closure. In: European Conference on Computer Vision, pp. 399–412 (1996)Google Scholar
  5. 5.
    Zhou, X.S., Huang, T.S.: Edge-Based Structural Features for Content-Based Image Retrieval. Pattern Recognition Letters 22(5), 457–468 (2001)MATHCrossRefMathSciNetGoogle Scholar
  6. 6.
    Feng, S.H., Xu, D.: A Novel Region-Based Image Retrieval Algorithm Using Selective Visual Attention Model. In: Blanc-Talon, J., Philips, W., Popescu, D.C., Scheunders, P. (eds.) ACIVS 2005. LNCS, vol. 3708, pp. 235–242. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Feng Songhe
    • 1
  • Xu De
    • 1
  1. 1.Dept. of Computer Science & TechnologyBeijing Jiaotong Univ.BeijingChina

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