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» Boosting Image Retrieval
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ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Content-Free Image Retrieval using Bayesian Product Rule
Content-free image retrieval uses accumulated user feedback records to retrieve images without analyzing image pixels. We present a Bayesian-based algorithm to analyze user feedba...
David Liu, Tsuhan Chen
SPIESR
2003
129views Database» more  SPIESR 2003»
13 years 11 months ago
Visual interfaces for a semantic content-based image retrieval system
In an earlier study a Semantic Content Based Image Retrieval system was developed. The system requires a Visual Object Process Diagram - VOPD to be created for each image in the d...
Hagit Zabrodsky Hel-Or, Dov Dori
ICIAR
2004
Springer
14 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...
CLEF
2010
Springer
13 years 11 months ago
I2R At ImageCLEF Wikipedia Retrieval 2010
We report on our approaches and methods for the ImageCLEF 2010 Wikipedia image retrieval task. A distinctive feature of this year's image collection is that images are associ...
Kong-Wah Wan, Yan-Tao Zheng, Sujoy Roy
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
14 years 1 days ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang