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» Retrieving scale from quasi-stationary images
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ECCV
2000
Springer
14 years 10 months ago
Learning Over Multiple Temporal Scales in Image Databases
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
Nuno Vasconcelos, Andrew Lippman
ICPR
2010
IEEE
13 years 10 months ago
Toward Massive Scalability in Image Matching
A method for image matching from partial blurry images is presented that leverages existing text retrieval algorithms to provide a solution that scales to hundreds of thousands of...
Jorge Moraleda, Jonathan Hull
CVPR
2008
IEEE
14 years 10 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
ICPR
2010
IEEE
13 years 5 months ago
Iris Image Retrieval Based on Macro-features
Most iris recognition systems use the global and local texture information of the iris in order to recognize individuals. In this work, we investigate the use of macro-features th...
Manisha Sam Sunder, Arun Ross
ICDAR
2005
IEEE
14 years 2 months ago
Text Extraction from Gray Scale Historical Document Images Using Adaptive Local Connectivity Map
This paper presents an algorithm using adaptive local connectivity map for retrieving text lines from the complex handwritten documents such as handwritten historical manuscripts....
Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju