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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 6 months ago
Multi-graph enabled active learning for multimodal web image retrieval
In this paper, we propose a multimodal Web image retrieval technique based on multi-graph enabled active learning. The main goal is to leverage the heterogeneous data on the Web t...
Xin-Jing Wang, Wei-Ying Ma, Lei Zhang, Xing Li
CBMS
2006
IEEE
15 years 6 months ago
Efficient Rotation Invariant Retrieval of Shapes with Applications in Medical Databases
Recognition of shapes in images is an important problem in computer vision with application in various medical problems, including robotic surgery and cell analysis. The similarit...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
119
Voted
MM
2006
ACM
164views Multimedia» more  MM 2006»
15 years 6 months ago
Scalable relevance feedback using click-through data for web image retrieval
Relevance feedback (RF) has been extensively studied in the content-based image retrieval community. However, no commercial Web image search engines support RF because of scalabil...
En Cheng, Feng Jing, Lei Zhang, Hai Jin
99
Voted
ICASSP
2008
IEEE
15 years 7 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...
VISAPP
2007
15 years 1 months ago
Texture based image indexing and retrieval
The Content Based Image Retrieval (CBIR) has been an active research area. Given a collection of images, it is to retrieve the images based on a query image, which is specified by...
N. Gnaneswara Rao, V. Vijaya Kumar