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ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
13 years 12 months ago
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Qi Tian, Ying Wu, Thomas S. Huang
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
14 years 8 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
CIVR
2010
Springer
187views Image Analysis» more  CIVR 2010»
14 years 9 days ago
Mixture model based contextual image retrieval
Traditional image retrieval techniques search for images without considering the query context. When they are applied to applications like annotating text with images, the results...
Xing Xing, Yi Zhang, Bo Gong
VISUAL
2000
Springer
13 years 11 months ago
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
In image retrieval, global features related to color or texture are commonly used to describe the image. The use of interest points in contentbased image retrieval allows image ind...
Etienne Loupias, Nicu Sebe
CVPR
2003
IEEE
14 years 9 months ago
Bootstrapping SVM Active Learning by Incorporating Unlabelled Images for Image Retrieval
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating t...
Lei Wang, Kap Luk Chan, Zhihua Zhang