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» An Information-Retrieval Approach for Image Databases
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PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
14 years 2 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...
ICIAP
1995
ACM
13 years 11 months ago
Image Retrieval by Elastic Matching of User Sketches
—Effective image retrieval by content from database requires that visual image properties are used instead of textual labels to properly index and recover pictorial data. Retriev...
Alberto Del Bimbo, Pietro Pala
IPCV
2008
13 years 9 months ago
Content Based Retrieval System for Archaeological Images
Most of the existing image retrieval systems take the textual query from the user and utilize the metadata associated with the database images to retrieve the result. However, the...
Akshay Asthana, Ranjan Dutta, Anshul Jain, Deepak ...
TIFS
2008
121views more  TIFS 2008»
13 years 7 months ago
Effect of Severe Image Compression on Iris Recognition Performance
We investigate three schemes for severe compression of iris images in order to assess what their impact would be on recognition performance of the algorithms deployed today for ide...
John Daugman, Cathryn Downing
CVPR
2007
IEEE
14 years 10 months ago
ROI-SEG: Unsupervised Color Segmentation by Combining Differently Focused Sub Results
This paper presents a novel unsupervised color segmentation scheme named ROI-SEG, which is based on the main idea of combining a set of different sub-segmentation results. We prop...
Michael Donoser, Horst Bischof