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» Content-Based Image Retrieval Using Multiple Representations
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CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
15 years 3 months ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
CLEF
2005
Springer
15 years 3 months ago
FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval
In this paper the methods we used in the 2005 ImageCLEF content-based image retrieval evaluation are described. For the medical retrieval task, we combined several low-level image ...
Thomas Deselaers, Tobias Weyand, Daniel Keysers, W...
IJCV
2007
163views more  IJCV 2007»
14 years 9 months ago
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Julia Vogel, Bernt Schiele
ISVC
2007
Springer
15 years 3 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
87
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PG
2003
IEEE
15 years 2 months ago
Non-Photorealistic Rendering and Content-Based Image Retrieval
In this paper, we will show how non-photorealistic rendering (NPR) can take a new role in content-based image retrieval (CBIR). We propose a content-based image retrieval method. ...
Xiaowen Ji, Zoltan Kato, Zhiyong Huang