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» Learning to rank for content-based image retrieval
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ICASSP
2007
IEEE
14 years 3 days 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
ICIP
1999
IEEE
14 years 7 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...
CVPR
2008
IEEE
14 years 7 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
CAIP
1999
Springer
139views Image Analysis» more  CAIP 1999»
13 years 10 months ago
Image Retrieval System Based on Machine Learning and Using Color Features
We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images wit...
Janez Demsar, Dragan Radolovic, Franc Solina
CLEF
2010
Springer
13 years 6 months ago
RGU at ImageCLEF2010 Wikipedia Retrieval Task
Abstract. This working notes paper describes our first participation in the ImageCLEF2010 Wikipedia Retrieval Task[1]. In this task, we mainly test our Quantum Theory inspired retr...
Jun Wang, Dawei Song, Leszek Kaliciak