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| Image Retrieval Method Based on ROI and MCS |
| HAO HongWei, HUANG FangYi, ZHOU Jing |
| School of Information Engineering, University of Science and Technology Beijing, Beijing 100083 |
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Abstract Since there is no effective algorithm for semantic level region extraction, it is difficult to obtain the region that reveals users' retrieval purposes exactly. Besides, different retrieval purposes demand various features. In order to solve these problems, an image retrieval method is proposed based on region of interest (ROI) and multiple classifier systems (MCS). Firstly, ROI is selected by users. Then, different features of ROI are extracted for constructing corresponding classifiers. Finally, the retrieval results are obtained by combining the outputs of individual classifiers. Experimental results show that the proposed method can exactly grasp the retrieval users' purpose and greatly improve the precision of retrieval systems.
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Received: 31 July 2006
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[1] Smeulders A W M, Worring M, Santinis S, et al. ContentBased Image Retrieval at the End of the Early Years. IEEE Trans on Pattern Analysis and Machine Intelligence, 2000, 22(12): 13491380
[2] Yoshitaka A, Ichikawa T. A Survey on ContentBased Retrieval for Multimedia Database. IEEE Trans on Knowledge and Data Engineering, 1999, 11(1): 8193
[3] Huang Xianglin, Shen Lansun. Research on ContentBased Image Retrieval Techniques. Acta Electronica Sinica, 2002, 30(7): 10651071 (in Chinese)
(黄祥林,沈兰荪.基于内容的图像检索技术研究.电子学报, 2002, 30(7): 10651071)
[4] Flickner M, Sawhney H, Niblack W. Query by Image and Video Content: The QBIC System. IEEE Computer, 1995, 28(9): 2331
[5] Pentland A, Picard R W, Sclaroff S. Photobook: ContentBased Manipulation of Image Databases. International Journal of Computer Vision, 1996, 18(3): 233254
[6] Carson C, Thomas M, Belongie S, et al. Blobworld: A System for RegionBased Image Indexing and Retrieval // Proc of the 3rd International Conference on Visual Information Systems. Amsterdam, Netherlands, 1999: 509516
[7] Fan Jianping, Yau D K Y, Elmagarmid A K, et al. Automatic Image Segmentation by Integrating ColorEdge Extraction and Seeded Region Growing. IEEE Trans on Image Processing, 2001, 10(10): 14541466
[8] Si Bailu, Gao Wen, Lu Hanqing, et al. An Image Retrieval Method Based on Regions of Interest. High Technology Letters, 2003, 13(5): 1318 (in Chinese)
(斯白露,高 文,卢汉清,等.基于感兴趣区域的图像检索方法.高技术通讯, 2003, 13(5): 1318)
[9] Rui Y, Huang T S, Ortega M, et al. Relevance Feedback: A Power Tool for Interactive ContentBased Image Retrieval. IEEE Trans on Circuits and Systems for Video Technology, 1998, 8(5): 644655
[10] Zhang Dengshen. Improving Image Retrieval Performance by Using Both Color and Texture Features // Proc of the 3rd IEEE International Conference on Image and Graphics. Hongkong, China, 2004: 172175
[11] Wang Tao, Hu Shimin, Sun Jiaguang, et al. Image Retrieval Based on ColorSpatial Feature. Journal of Software, 2002, 13(10): 20312036 (in Chinese)
(王 涛,胡事民,孙家广,等.基于颜色空间特征的图像检索.软件学报, 2002, 13(10): 20312036)
[12] Wu P, Manjunath B S, Newsam S, et al. Texture Descriptor for Browsing and Similarity Retrieval. Journal of Signal Processing: Image Communication, 2000, 16(1/2): 3343
[13] Kittler J, Hatef M, Duin R, et al. On Combining Classifiers. IEEE Trans on Pattern Analysis and Machine Intelligence, 1998, 20(3): 226239 |
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2008, Vol. 21 
