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» Boosting Image Retrieval
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SCIA
2005
Springer
220views Image Analysis» more  SCIA 2005»
14 years 3 months ago
Block-Based Methods for Image Retrieval Using Local Binary Patterns
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...
Valtteri Takala, Timo Ahonen, Matti Pietikäin...
CVPR
2011
IEEE
13 years 7 months ago
Unsupervised Auxiliary Visual Words Discovery for Large-Scale Image Object Retrieval
Image object retrieval – locating image occurrences of specific objects in large-scale image collections – is essential for manipulating the sheer amount of photos. Current s...
Yin-Hsi Kuo, Hsuan-Tien Lin, Wen-Huang Cheng, Yi-H...
ICMCS
2006
IEEE
200views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Automatic Medical Image Annotation and Retrieval using SEMI-SECC
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method based on SEMIsu...
Jian Yao, Zhongfei (Mark) Zhang, Sameer Antani, L....
WSCG
2004
163views more  WSCG 2004»
13 years 11 months ago
Information Retrieval of Color Images via Wavelets
This paper focuses on a novel framework for information retrieval of images based only on color information. Regions homogeneous in color of the input image are detected using a m...
Domenico Vitulano, Fadil Santosa
IJON
2008
184views more  IJON 2008»
13 years 10 months ago
Automatic medical image annotation and retrieval
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method based on SEMIsu...
Jian Yao, Zhongfei (Mark) Zhang, Sameer Antani, L....