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95
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DANTE
1999
IEEE
144views Database» more  DANTE 1999»
15 years 4 months ago
Issues in Using Specifications to Improve Content-Based Search of Multimedia Data
Many current multimedia database management systems perform content-based retrieval of images by extracting the values of various features from every object stored in their system...
Leonard Brown, Le Gruenwald, Gregory D. Speegle
ICIP
1999
IEEE
16 years 2 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...
124
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ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
15 years 6 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Relevance Feedback Methods in Content Based Retrieval and Video Summarization
In the current state-of-the-art in multimedia content analysis (MCA), the fundamental techniques are typically derived from core pattern recognition and computer vision algorithms...
Micha Haas, Ard Oerlemans, Michael S. Lew
ISM
2008
IEEE
108views Multimedia» more  ISM 2008»
15 years 6 months ago
Optimization of Content-Based Image Retrieval Functions
Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
Asadollah Shahbahrami, Ben H. H. Juurlink