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» Color Features Performance Comparison for Image Retrieval
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ESWA
2008
127views more  ESWA 2008»
13 years 9 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
CVPR
2007
IEEE
14 years 10 months ago
A Binning Scheme for Fast Hard Drive Based Image Search
In this paper we investigate how to scale a content based image retrieval approach beyond the RAM limits of a single computer and to make use of its hard drive to store the featur...
David Nistér, Friedrich Fraundorfer, Henrik...
FGR
2004
IEEE
160views Biometrics» more  FGR 2004»
14 years 16 days ago
A Comparison of Shape Constrained Facial Feature Detectors
We consider the problem of robustly and accurately locating facial features. The relative positions of different feature points are represented using a statistical shape model. We...
David Cristinacce, Timothy F. Cootes
ICASSP
2007
IEEE
13 years 9 months ago
Multiscale Color-Texture Image Segmentation with Adaptive Region Merging
Anovelmultiscaleimagesegmentationalgorithmispresented, which is based on the dominant color and homogeneous texture features (HTF) that are adopted in the MPEG-7 standard. These f...
Tao Wan, Nishan Canagarajah, Alin Achim
ICPR
2000
IEEE
14 years 1 months ago
(Semi-) Automatic Segmentation in Historic Collections of Heraldic Images
A modern approach to manage multimedia databases is content-based retrieval. Especially in image databases graphical features like color, texture or shape can be used efficiently ...
Jürgen Vogel, Wolf-Tilo Balke, Werner Kie&szl...