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» Spatial Color Histograms for Content-Based Image Retrieval
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TMM
2002
140views more  TMM 2002»
13 years 7 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
ICIP
2009
IEEE
14 years 8 months ago
Integral P-channels For Fast And Robust Region Matching
We present a new method for matching a region between an input and a query image, based on the P-channel representation of pixel-based image features such as grayscale and color i...
ICPR
2004
IEEE
14 years 8 months ago
Image and Feature Co-Clustering
The visual appearance of an image is closely associated with its low-level features. Identifying the set of features that best characterizes the image is useful for tasks such as ...
Guoping Qiu
ICIP
2001
IEEE
14 years 9 months ago
Metrics for performance evaluation of video object segmentation and tracking without ground-truth
We present metrics to evaluate the performance of video object segmentation and tracking methods quantitatively when groundtruth segmentation maps are not available. The proposed ...
Çigdem Eroglu Erdem, Bülent Sankur, A....
CVPR
2009
IEEE
1930views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Mutual Information-based Stereo Matching Combined with SIFT Descriptor in Log-chromaticity Color Space
Radiometric variations between input images can seriously degrade the performance of stereo matching algorithms. In this situation, mutual information is a very popular and powe...
Yong Seok Heo (Seoul National University), Kyoung ...