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» Image Retrieval: The MIRACLE Approach
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129
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SMI
2008
IEEE
181views Image Analysis» more  SMI 2008»
15 years 10 months ago
SHREC - 08 entry: Local 2D visual features for CAD Model retrieval
A local shape feature has an advantage in dealing with deformable or articulated 3D models. We evaluate the performance of our local, 2D visual features and their integration meth...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
138
Voted
ICPR
2010
IEEE
15 years 2 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
171
Voted
CVPR
2011
IEEE
14 years 8 months ago
Total Recall II: Query Expansion Revisited
Most effective particular object and image retrieval approaches are based on the bag-of-words (BoW) model. All state-of-the-art retrieval results have been achieved by methods tha...
Ondrej Chum, Andrej Mikulik, Michal Perdoch, Jiri ...
156
Voted
MVA
2006
205views Computer Vision» more  MVA 2006»
15 years 4 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
140
Voted
GISCIENCE
2008
Springer
121views GIS» more  GISCIENCE 2008»
15 years 5 months ago
Identifying Maps on the World Wide Web
Abstract. This paper presents an automatic approach to mining collections of maps from the Web. Our method harvests images from the Web and then classifies them as maps or non-map...
Matthew Michelson, Aman Goel, Craig A. Knoblock