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» Adaptive Query Shifting for Content-Based Image Retrieval
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WWW
2011
ACM
13 years 2 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
SISAP
2009
IEEE
134views Data Mining» more  SISAP 2009»
14 years 2 months ago
Searching by Similarity and Classifying Images on a Very Large Scale
—In the demonstration we will show a system for searching by similarity and automatically classifying images in a very large dataset. The demonstrated techniques are based on the...
Giuseppe Amato, Pasquale Savino
CIVR
2007
Springer
185views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Z-grid-based probabilistic retrieval for scaling up content-based copy detection
Scalability is the key issue in making content-based copy detection (CBCD) methods practical for very large image and video databases. Since copies are transformed versions of ori...
Sébastien Poullot, Olivier Buisson, Michel ...
CIVR
2008
Springer
106views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Scalable Markov model-based image annotation
In this paper, we propose a novel Markov model-based formulation for the image annotation problem. In this formulation, we treat image annotation as a graph ranking problem, by de...
Changhu Wang, Lei Zhang, Hong-Jiang Zhang
FGR
2008
IEEE
180views Biometrics» more  FGR 2008»
13 years 7 months ago
Person-specific face recognition in unconstrained environments: a combination of offline and online learning
This paper studies face recognition and person-specific face image retrieval in unconstrained environments. The proposed method consists of two parts: offline and online learning....
Bangpeng Yao, Haizhou Ai, Shihong Lao