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» Combining Textual and Visual Features for Image Retrieval
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ICIAR
2004
Springer
15 years 3 months ago
Segmentation Using Saturation Thresholding and Its Application in Content-Based Retrieval of Images
We analyze some of the visual properties of the HSV (Hue, Saturation and Value) color space and develop an image segmentation technique using the results of our analysis. In our me...
A. Vadivel, M. Mohan, Shamik Sural, Arun K. Majumd...
ICMCS
2008
IEEE
152views Multimedia» more  ICMCS 2008»
15 years 4 months ago
A geometric method to compute directionality features for texture images
In content based image analysis and retrieval, texture feature is an essential component due to its strong discriminative power. Directionality is one of the most significant text...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
IROS
2009
IEEE
232views Robotics» more  IROS 2009»
15 years 4 months ago
Combining Cartesian and polar coordinates in IBVS
Abstract— Image-based visual servo (IBVS) is a simple, efficient and robust technique for vision-based control. Although technically a local method in practice it demonstrates a...
Peter I. Corke, Fabien Spindler, François C...
CVPR
2011
IEEE
14 years 6 months ago
Combining Randomization and Discrimination for Fine-Grained Image Categorization
In this paper, we study the problem of fine-grained image categorization. The goal of our method is to explore fine image statistics and identify the discriminative image patche...
Bangpeng Yao, Aditya Khosla, Li Fei-Fei
MIR
2003
ACM
113views Multimedia» more  MIR 2003»
15 years 3 months ago
Semantic-meaningful content-based image retrieval in wavelet domain
In this paper, we propose a semantic-meaningful approach for region-based image retrieval in image database. Our retrieval system is based on wavelet transform for its decompositi...
Yongqing Sun, Shinji Ozawa