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» A content-based image retrieval system for fish taxonomy
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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 ...
ADBIS
2006
Springer
168views Database» more  ADBIS 2006»
14 years 1 months ago
A Hybrid Ontology and Content-Based Search Engine For Multimedia Retrieval
Abstract. Huge amounts of digital visual content are currently available, thus placing a demand for advanced multimedia search engines. The contribution of this paper is the presen...
Haralambos Doulaverakis, Evangelia Nidelkou, Anast...
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 8 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
CIVR
2008
Springer
152views Image Analysis» more  CIVR 2008»
13 years 9 months ago
FISH: a practical system for fast interactive image search in huge databases
The problem of search and retrieval of images using relevance feedback has attracted tremendous attention in recent years from the research community. A real-world-deployable inte...
Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. J...
ICIP
1999
IEEE
14 years 9 months ago
A Neural Network Approach to Interactive Content-Based Retrieval of Video Databases
A neural network scheme is presented in this paper for adaptive video indexing and retrieval. First, a limited but characteristic amount of frames are extracted from each video sc...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...