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CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
14 years 26 days ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
ECIR
2004
Springer
13 years 8 months ago
NNk Networks for Content-Based Image Retrieval
Abstract. This paper describes a novel interaction technique to support content-based image search in large image collections. The idea is to represent each image as a vertex in a ...
Daniel Heesch, Stefan M. Rüger
ICPR
2000
IEEE
14 years 8 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
CAIVD
1998
182views more  CAIVD 1998»
13 years 8 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
SSIAI
2000
IEEE
13 years 12 months ago
Lower-Level and Higher-Level Approaches to Content-Based Image Retrieval
This paper describes a content-based image retrieval system that employs both higher-level and lower-level vision methodologies separately and in conjunction for the retrieval of ...
Qasim Iqbal, Jake K. Aggarwal