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» Series feature aggregation for content-based image retrieval
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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
ADBIS
2006
Springer
168views Database» more  ADBIS 2006»
14 years 2 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...
RITA
2006
302views more  RITA 2006»
13 years 8 months ago
Content-Based Image Retrieval: Theory and Applications
: Advances in data storage and image acquisition technologies have enabled the creation of large image datasets. In this scenario, it is necessary to develop appropriate informatio...
Ricardo da Silva Torres, Alexandre X. Falcã...
JMLR
2010
141views more  JMLR 2010»
13 years 3 months ago
Pinview: Implicit Feedback in Content-Based Image Retrieval
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Kla...
ICIP
1999
IEEE
14 years 10 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...