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» Kernel indexing for relevance feedback image retrieval
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CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
14 years 1 months ago
A content-based image retrieval scheme allowing for robust automatic personalization
The retrieval performance of content-based image retrieval (CBIR) systems is often disappointingly low, mainly due to the subjectivity of human perception. Relevance feedback (RF)...
Sotirios Chatzis, Anastasios D. Doulamis, Theodora...
ICIP
2001
IEEE
14 years 9 months ago
Support vector machine learning for image retrieval
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Lei Zhang, Fuzong Lin, Bo Zhang
MLDM
2001
Springer
14 years 1 days ago
Adaptive Query Shifting for Content-Based Image Retrieval
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
MM
2006
ACM
203views Multimedia» more  MM 2006»
14 years 1 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Using Implicit Relevane Feedback to Advance Web Image Search
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...
En Cheng, Feng Jing, Mingjing Li, Wei-Ying Ma, Hai...