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» Textural Features and Relevance Feedback for Image Retrieval
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ICIP
2000
IEEE
16 years 1 months ago
Region-Based Image Retrieval
Content-based image retrieval, which provides convenient ways to retrieve images from large image databases, has been studied actively. While many previous image retrieval techniq...
Jun-Wei Hsieh, W. Eric L. Grimson, Cheng-Chin Chia...
ICCV
2003
IEEE
15 years 5 months ago
Reinforcement Learning for Combining Relevance Feedback Techniques
Relevance feedback (RF) is an interactive process which refines the retrievals by utilizing user’s feedback history. Most researchers strive to develop new RF techniques and ign...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...
ICMCS
2005
IEEE
114views Multimedia» more  ICMCS 2005»
15 years 5 months ago
Self Configurable Queries for Digital Image Libraries
Since multimedia information is characterized by motley types of media with different properties, multimedia content retrieval in digital libraries requires dynamic reconfigurable...
Panagiotis Karagiannis, Nikolaos D. Doulamis, Geor...
ICPR
2004
IEEE
16 years 27 days ago
Group-based Relevance Feedback with Support Vector Machine Ensembles
Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedbac...
Chu-Hong Hoi, Michael R. Lyu
ICMCS
2006
IEEE
127views Multimedia» more  ICMCS 2006»
15 years 5 months ago
An Interactive Region-Based Image Clustering and Retrieval Platform
Content-based Image retrieval has become an important part of information retrieval technology. Images can be viewed as high dimensional data and are usually represented by their ...
Ying Liu, Xin Chen, Chengcui Zhang, Alan P. Spragu...