A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval

By Yixin Chen, James Ze Wang. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002

495 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/e2a0a5fc0a33a8df662b840ecc80ad5530ae4bf5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. James Ze Wang
2. Yixin Chen
3. Jia Li
4. Ritendra Datta
5. Dhiraj Joshi
6. Robert Krovetz
7. Jinbo Bi
8. Yixin Chen

Citations in the corpus

• Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach (2003, background): “Readers are referred to that article and some additional references [2], [17], [18], [25], [23], [4], [11], [26] for more information.”
• Image retrieval: Ideas, influences, and trends of the new age (2008, methodology): “A variation of IRM is attempted in [Chen and Wang 2002] to employ fuzziness to account for inaccurate segmentation to a greater extent.”
• Image Categorization by Learning and Reasoning with Regions (2004, methodology): “Image segmentation has been successfully used in content-based image and video analysis (e.g., Carson et al., 2002; Chen and Wang, 2002; Ma and Manjunath, 1997; Modestino and Zhang, 1992; Smith and Li, 1999; Vasconcelos and Lippman, 1998; Wang et al., 2001b).”
• MILES: Multiple-Instance Learning via Embedded Instance Selection (2006, background): “Far beyond the drug activity prediction problem, the multiple-instance problem emerges naturally in a variety of challenging learning problems in computer vision, including natural scene classification [37], content-based image retrieval [34], [56], [60], [15], image categorization [6], [32], [16], ”
• CLUE: cluster-based retrieval of images by unsupervised learning (2005, methodology): “Digital Object Identifier 10.1109/TIP.2005.849770”
• Content-based image retrieval: approaches and trends of the new age (2005, unknown): “Region based image retrieval has also been extended to incorporate spatial similarity using the Hausdorff distance on finite sized point sets [55], and to employ fuzziness to characterize segmented regions for the purpose of feature matching [17].”