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» Image Annotation System Using Visual and Textual Features
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ICPR
2008
IEEE
14 years 3 months ago
Novel image feature alphabets for object recognition
Most successful object recognition systems are based on a visual alphabet of quantised gradient orientations. Here, we introduce two richer image feature alphabets for use in obje...
Martin Lillholm, Lewis D. Griffin
CIVR
2006
Springer
144views Image Analysis» more  CIVR 2006»
14 years 22 days ago
A Linear-Algebraic Technique with an Application in Semantic Image Retrieval
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
Jonathon S. Hare, Paul H. Lewis, Peter G. B. Enser...
CEE
2010
67views more  CEE 2010»
13 years 9 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye
MIR
2010
ACM
206views Multimedia» more  MIR 2010»
14 years 2 months ago
An investigation into the relationship between semantic and content based similarity using LIDC
There is considerable research in the field of content-based medical image retrieval; however, few of the current systems investigate the relationship between the radiologists’...
Robert Kim, Grace Dasovich, Runa Bhaumik, Richard ...
CAIVD
1998
182views more  CAIVD 1998»
13 years 10 months ago
Content-Based 3D Neuroradiologic Image Retrieval: Preliminary Results
A content-based 3D neuroradiologic image retrieval system is being developed at the Robotics Institute of CMU. The special characteristics of this system include: 1 directly deali...
Yanxi Liu, William E. Rothfus, Takeo Kanade