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» A two-level relevance feedback mechanism for image retrieval
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PCM
2007
Springer
109views Multimedia» more  PCM 2007»
14 years 7 days ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu
ICIP
1997
IEEE
14 years 7 months ago
Content-Based Image Retrieval with Relevance Feedback in MARS
Yong Rui, Thomas S. Huang, Sharad Mehrotra
ICPR
2000
IEEE
13 years 10 months ago
Integrating Unlabeled Images for Image Retrieval Based on Relevance Feedback
Retrieval techniques based on pure similarity metrics are often suffered from the scales of image features. An alternative approach is to learn a mapping based on queries and rele...
Ying Wu, Qi Tian, Thomas S. Huang
ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
13 years 10 months ago
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
Qi Tian, Pengyu Hong, Thomas S. Huang
ICIP
1999
IEEE
13 years 10 months ago
Content-Based Color Image Retrieval with Relevance Feedback
Raimondo Schettini, Gianluigi Ciocca, Isabella Gag...