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» Document Image Retrieval with Local Feature Sequences
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ICPR
2002
IEEE
15 years 10 months ago
Improvement of Histogram-Based Image Retrieval and Classification
Histogram-based techniques are commonly used in image retrieval ranging from basic color histograms to sophisticated histograms of various local feature vectors. Our approach cons...
Sven Siggelkow, Hans Burkhardt
86
Voted
ICMCS
2000
IEEE
79views Multimedia» more  ICMCS 2000»
15 years 2 months ago
From Features to Semantics: Some Preliminary Results
In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic anal...
Rong Zhao, William I. Grosky
75
Voted
ACL
2006
14 years 11 months ago
Discriminating Image Senses by Clustering with Multimodal Features
We discuss Image Sense Discrimination (ISD), and apply a method based on spectral clustering, using multimodal features from the image and text of the embedding web page. We evalu...
Nicolas Loeff, Cecilia Ovesdotter Alm, David A. Fo...
SPIESR
2000
104views Database» more  SPIESR 2000»
14 years 11 months ago
Feature localization and search by object model under illumination change
Color object recognition methods that are based on image retrieval algorithms can handle changes of illumination via image normalization, e.g. simple color-channel-normalization1 ...
Mark S. Drew, Zinovi Tauber, Ze-Nian Li
DAS
1998
Springer
15 years 1 months ago
Group 4 Compressed Document Matching
Numerous approaches, including textual, structural and featural, to detecting duplicate documents have been investigated. Considering document images are usually stored and transm...
Dar-Shyang Lee, Jonathan J. Hull