Abstract
In this paper, an image retrieval system, ROISeer is proposed. ROISeer uses a region-based approach for feature extraction, and integrated region matching based upon color and shape similarity measurements. Different from most existing image query by example systems, the proposed system provides a hierarchical feature filtering instead of using single or multiple features fusion. It considers that color feature is the most significant factor simulating the attention of Human Visual System (HVS), therefore image segmentation procedure is only applied for those image where similar color patch is presented. The novel design of this technique significantly reduces the complexity of image segmentation for large scale image databases. In addition, to enhance the reliability of the system, a region-based shape matching algorithm is utilized. This method ensures that the same region is robustly retrieved when the target is rotated, resized and shifted. Experimental results show that the ROISeer provides robust and well performance in Region of Interest (ROI) retrieval in single category or cross-category image databases.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jain, A.K., Vailaya, A.: Image Retrieval Using Color and Shape. Pattern Recognition 29, 1223–1244 (1996)
Mehtre, B.M., Kankanhalli, M.S., Lee, W.F.: Content-based Image Retrieval Using a Composite Color-Shape Approach. Information Processing & Management 34, 109–120 (1998)
Comaniciu, D., Meer, P.: Robust Analysis of Feature Spaces: Color Image Segmentation. In: Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), p. 750 (1997)
Meyer, F.: Color image segmentation. In: Proceedings of the International Conference on Image Processing and its Applications, pp. 303–306 (1992)
Quack, T., Monich, U., Thiele, L., Manjunath, B.: A System for Large-scale, Content-based Web Image Retrieval. In: Proceedings of the ACM Multimedia Conference (2004)
Yang, X., Bai, X., Latecki, L.J., Tu, Z.: Improving Shape Retrieval by Learning Graph Transduction. In: The Proceedings of the European Conference on Computer Vision (2008)
Hu, M.: Visual pattern recognition by moment invariants. IRE Transactions on Information Theory (2), 179–187 (1962)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lei, Z., Wei, B., Cai, X., Chen, Y. (2008). ROISeer: Region-Based Image Retrieval by Hierarchical Feature Filtering. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_61
Download citation
DOI: https://doi.org/10.1007/978-3-540-89796-5_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89795-8
Online ISBN: 978-3-540-89796-5
eBook Packages: Computer ScienceComputer Science (R0)