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» Statistical Shape Features in Content-Based Image Retrieval
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3DOR
2009
13 years 9 months ago
SHREC'09 Track: Structural Shape Retrieval on Watertight Models
The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods for several different types of models and retrieval purposes. In this contest the...
J. Hartveldt, Michela Spagnuolo, Apostolos Axenopo...
CVPR
2004
IEEE
14 years 10 months ago
Object-Based Image Retrieval Using the Statistical Structure of Images
We propose a new Bayesian approach to object-based image retrieval with relevance feedback. Although estimating the object posterior probability density from few examples seems in...
Derek Hoiem, Rahul Sukthankar, Henry Schneiderman,...
CIVR
2004
Springer
118views Image Analysis» more  CIVR 2004»
14 years 1 months ago
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
In content-based image retrieval (CBIR), the images in a database are indexed on the basis of low-level statistical features that can be automatically derived from the images. Due ...
Markus Koskela, Jorma Laaksonen, Erkki Oja
DAGM
2004
Springer
14 years 1 months ago
CVPIC Colour/Shape Histograms for Compressed Domain Image Retrieval
Compressed domain image retrieval allows image indexing to be performed directly on the compressed data without the need of decoding. This approach hence provides a significant ga...
Gerald Schaefer
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
14 years 9 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu