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» Boosting Image Retrieval
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ICCV
2009
IEEE
15 years 3 months ago
Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval
We study the task of detecting the occurrence of objects in large image collections or in videos, a problem that combines aspects of content based image retrieval and object locali...
Christoph H. Lampert
EVOW
2010
Springer
14 years 5 months ago
Content-Based Image Retrieval of Skin Lesions by Evolutionary Feature Synthesis
This paper gives an example of evolved features that improve image retrieval performance. A content-based image retrieval system for skin lesion images is presented. The aim is to ...
Lucia Ballerini, Xiang Li, Robert B. Fisher, Ben A...
ICMCS
1999
IEEE
148views Multimedia» more  ICMCS 1999»
14 years 2 months ago
A System for the Fast Prototyping of Multidimensional Image Retrieval
Multidimensional image retrieval (MIR) views an image as a multidimensional object, where each dimension is a channel for retrieval. MIR has the potential of putting at work toget...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...
COOPIS
2004
IEEE
14 years 2 months ago
Ontology for Nature-Scene Image Retrieval
This paper presents a framework for building an ontology to provide semantic interpretations in image contents. The novelty of this framework comes from building a MPEG-7 ontology ...
Song Liu, Liang-Tien Chia, Syin Chan
CVPR
2005
IEEE
15 years 10 days ago
Evaluating Image Retrieval
We present a comprehensive strategy for evaluating image retrieval algorithms. Because automated image retrieval is only meaningful in its service to people, performance character...
Nikhil V. Shirahatti, Kobus Barnard