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» Color and Texture Feature For Content Based Image Retrieval
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CIVR
2009
Springer
212views Image Analysis» more  CIVR 2009»
14 years 5 months ago
NUS-WIDE: a real-world web image database from National University of Singapore
This paper introduces a web image dataset created by NUS’s Lab for Media Search. The dataset includes: (1) 269,648 images and the associated tags from Flickr, with a total of 5,...
Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie L...
BMEI
2008
IEEE
14 years 4 months ago
Color and Position versus Texture Features for Endoscopic Polyp Detection
This paper presents a comparison of texture based and color and position based methods for polyp detection in endoscopic video images. Two methods for texture feature extraction t...
Luís A. Alexandre, Nuno Nobre, João ...
CVPR
2005
IEEE
15 years 13 days ago
Boosting Saliency in Color Image Features
The aim of salient point detection is to find distinctive events in images. Salient features are generally determined from the local differential structure of images. They focus o...
Joost van de Weijer, Theo Gevers
ICPR
2006
IEEE
14 years 11 months ago
Illumination Invariant Texture Retrieval
Two fast illumination invariant image retrieval methods for scenes comprising textured objects with variable illumination are introduced. Both methods are based on texture gradien...
Michal Haindl, Pavel Vacha
ICPR
2002
IEEE
14 years 11 months ago
Multicue MRF Image Segmentation: Combining Texture and Color Features
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
Zoltan Kato, Ting-Chuen Pong, Song Guo Qiang