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» Image preprocessing for CBIR system
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ECCV
2000
Springer
14 years 9 months ago
Learning Over Multiple Temporal Scales in Image Databases
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
Nuno Vasconcelos, Andrew Lippman
EDBT
2006
ACM
172views Database» more  EDBT 2006»
14 years 7 months ago
Fast Query Point Movement Techniques with Relevance Feedback for Content-Based Image Retrieval
Abstract. Target search in content-based image retrieval (CBIR) systems refers to finding a specific (target) image such as a particular registered logo or a specific historical ph...
Danzhou Liu, Kien A. Hua, Khanh Vu, Ning Yu
ICIP
2001
IEEE
14 years 9 months ago
A recursive optimal relevance feedback scheme for content based image retrieval
In this paper, an optimal relevance algorithm is proposed, which adapts the response of a content-based image retrieval (CBIR) system to the user's information needs. In part...
Anastasios D. Doulamis, Nikolaos D. Doulamis
CBMS
2008
IEEE
14 years 2 months ago
Using the Grid for Enhancing the Performance of a Medical Image Search Engine
— In this paper we show how Grid computing can be used to improve the operation of a medical image search system. The paper introduces the basic principles of a content-based ima...
Mikko Juhani Pitkänen, Xin Zhou, Antti Eero J...
ICTAI
2003
IEEE
14 years 1 months ago
A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques
In multi-instance learning, the training examples are bags composed of instances without labels and the task is to predict the labels of unseen bags through analyzing the training...
Zhi-Hua Zhou, Min-Ling Zhang, Ke-Jia Chen