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» Distance Measures for Layout-Based Document Image Retrieval
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ICCV
1998
IEEE
13 years 11 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
ICPR
2002
IEEE
14 years 8 months ago
Spatial Color Component Matching of Images
Color and color neighborhood statistics have been used extensively in image matching and retrieval. However, the effective incorporation of color layout information remains a chal...
Jianying Hu, Efstathios Hadjidemetriou
DRR
2008
13 years 8 months ago
Segmentation-based retrieval of document images from diverse collections
We describe a methodology for retrieving document images from large extremely diverse collections. First we perform content extraction, that is the location and measurement of reg...
Michael A. Moll, Henry S. Baird
SAC
2004
ACM
14 years 24 days ago
Similarity between Euclidean and cosine angle distance for nearest neighbor queries
Understanding the relationship among different distance measures is helpful in choosing a proper one for a particular application. In this paper, we compare two commonly used dis...
Gang Qian, Shamik Sural, Yuelong Gu, Sakti Pramani...
CVPR
2008
IEEE
14 years 9 months ago
A joint appearance-spatial distance for kernel-based image categorization
The goal of image categorization is to classify a collection of unlabeled images into a set of predefined classes to support semantic-level image retrieval. The distance measures ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...