Abstract
Selective Visual Attention Model (SVAM) plays an important role in region-based image retrieval. In this paper, a robust and accurate method for salient region detection is proposed which integrates SVAM and image segmentation. After that, the concept of salient region adjacency graphs (SRAGs) is introduced for image retrieval. The whole process consists of three levels. First in the pixel-level, the salient value of each pixel is calculated using an improved spatial-based attention model. Then in the region-level, the salient region detection method is presented. Furthermore, in the scene-level, salient region adjacency graphs (SRAGs) are introduced to represent the salient groups in the image, which take the salient regions as root nodes. Finally, the constructed SRAGs are used for image retrieval. Experiments show that the proposed method works well.
This work was supported by the Beijing Jiaotong Univerisity Research Project under Grant No.2004SM013.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Itti, L., Koch, C., Niebur, E.: A Model of Saliency-Based Visual Attention for Rapid Scene Analysis. IEEE Trans on Pattern Analysis and Machine Intelligence 20(11), 1254–1259 (1998)
Ma., Y.-F., Zhang, H.-J.: Contrast-based Image Attention Analysis by Using Fuzzy Growing. ACM Multimedia, 374–381 (2003)
Walther., D., Rutishauser., U., Koch., C., Perona, P.: On the usefulness of attention for object recognition. In: ECCV 2004, pp. 96–103 (2004)
Chang., R.-F., Chen., C.-J., Liao, C.-H.: Region-based Image Retrieval Using Edgeflow Segmentation and Region Adjacency Graph. In: Proc. of IEEE International Conference on Multimedia & Expo 2004, TaiPei, Taiwan, June 27-30, pp. 1883–1886 (2004)
Sun, Y., Fisher, R.: Object-based visual attention for computer vision. Artificial Intelligence 146, 77–123 (2003)
Ko., B., Kwak, S.Y., Byun, H.: SVM-based Salient Region(s) Extraction Method for Image Retrieval. In: IEEE Int. Conf. on Pattern Recognition (2004)
Cheng, H.D., Chen, Y.H., Jiang, X.H.: Thresholding Using Two-Dimensional Histogram and Fuzzy Entropy Principle. IEEE Trans on Image Processing 9(4), 732–735 (2000)
Jing, F., Li, M., Zhang, H.-J., Zhang, B.: An Efficient and Effective Region-Based Image Retrieval Framework. IEEE Trans on Image Processing 13(4), 699–709 (2004)
Tekalp, A.M.: Digital Video Processing. Prentice-Hall, Englewood Cliffs (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Feng, S., Xu, D., Yang, X., Wu, A. (2005). A Novel Region-Based Image Retrieval Algorithm Using Selective Visual Attention Model. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_30
Download citation
DOI: https://doi.org/10.1007/11558484_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29032-2
Online ISBN: 978-3-540-32046-3
eBook Packages: Computer ScienceComputer Science (R0)