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» Content-Based Image Retrieval by Relevance Feedback
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ICPR
2004
IEEE
16 years 6 months 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
CHI
2008
ACM
16 years 5 months ago
MQSearch: image search by multi-class query
Image search is becoming prevalent in web search as the number of digital photos grows exponentially on the internet. For a successful image search system, removing outliers in th...
Yiwen Luo, Wei Liu, Jianzhuang Liu, Xiaoou Tang
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
15 years 11 months 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
2001
IEEE
16 years 7 months ago
Category-based image retrieval
This work presents a novel approach to content-based image retrieval in categorical multimedia databases. The images are indexed using a combination of text and content descriptor...
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath
ICASSP
2008
IEEE
15 years 12 months ago
Graph laplacian for interactive image retrieval
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...