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» Image Ranking and Retrieval Based on Multi-Attribute Queries
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135
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MLDM
2001
Springer
15 years 5 months ago
Adaptive Query Shifting for Content-Based Image Retrieval
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
108
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EDBT
2006
ACM
172views Database» more  EDBT 2006»
16 years 21 days ago
Fast Query Point Movement Techniques with Relevance Feedback for Content-Based Image Retrieval
Abstract. Target search in content-based image retrieval (CBIR) systems refers to finding a specific (target) image such as a particular registered logo or a specific historical ph...
Danzhou Liu, Kien A. Hua, Khanh Vu, Ning Yu
108
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ICPR
2000
IEEE
16 years 1 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
MSV
2004
15 years 1 months ago
Towards Quality of Service Based Resource Management for Cluster-Based Image Database
The main research in the area of image databases addresses the improvement of retrieval quality and the speedup of the query processing. A number of image retrieval systems reache...
Andreas Brüning, Frank Drews, Martin Hoefer, ...
CIVR
2004
Springer
100views Image Analysis» more  CIVR 2004»
15 years 6 months ago
STRICT: An Image Retrieval Platform for Queries Based on Regional Content
This paper presents a CBIR system that is based on a segmented representation of image content. It compares regional features using fuzzy similarity, which have been shown to be ps...
Jean-François Omhover, Marcin Detyniecki