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» Mining and cropping common objects from images
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SDM
2007
SIAM
121views Data Mining» more  SDM 2007»
14 years 11 months ago
Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
Hichem Frigui, Joshua Caudill
74
Voted
MM
2009
ACM
230views Multimedia» more  MM 2009»
15 years 4 months ago
Query expansion for hash-based image object retrieval
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., local...
Yin-Hsi Kuo, Kuan-Ting Chen, Chien-Hsing Chiang, W...
CVPR
2008
IEEE
15 years 11 months ago
Visibility in bad weather from a single image
Bad weather, such as fog and haze, can significantly degrade the visibility of a scene. Optically, this is due to the substantial presence of particles in the atmosphere that abso...
Robby T. Tan
ECCV
2004
Springer
15 years 11 months ago
Separating Specular, Diffuse, and Subsurface Scattering Reflectances from Photometric Images
Abstract. While subsurface scattering is common in many real objects, almost all separation algorithms focus on extracting specular and diffuse components from real images. In this...
Tai-Pang Wu, Chi-Keung Tang
TKDE
2008
136views more  TKDE 2008»
14 years 9 months ago
Efficient Correlation Search from Graph Databases
Correlation mining has gained great success in many application domains for its ability to capture underlying dependencies between objects. However, research on correlation mining ...
Yiping Ke, James Cheng, Wilfred Ng