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MVA
2000
203views Computer Vision» more  MVA 2000»
13 years 9 months ago
An Environment to Test Progressive Refinement of Indexing for Content-Based Image Retrieval
Content-based image retrieval is a fairly new discipline. Yet research in this field has highlighted many approaches that show good performance in specific subproblems using singl...
Maria Grazia Albanesi, Marco Ferretti, Alessandro ...
CIVR
2004
Springer
150views Image Analysis» more  CIVR 2004»
14 years 1 months ago
Three Interfaces for Content-Based Access to Image Collections
This paper describes interfaces for a suite of three recently developed techniques to facilitate content-based access to large image and video repositories. Two of these techniques...
Daniel Heesch, Stefan M. Rüger
ICASSP
2007
IEEE
14 years 1 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
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
ICTAI
1999
IEEE
13 years 12 months ago
Spatial Color Histograms for Content-Based Image Retrieval
Color histogram is an important technique for color image database indexing and retrieving. In this paper, traditional color histogram is modified to capture spatial layout informa...
Aibing Rao, Rohini K. Srihari, Zhongfei Zhang