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» Boosting Image Retrieval
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SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
15 years 10 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
SMI
2008
IEEE
150views Image Analysis» more  SMI 2008»
15 years 10 months ago
SHREC'08 entry: Multi-view 3D retrieval using multi-scale contour representation
We describe in this paper a method for 3D shape indexing and retrieval that we apply on three data collections of the SHREC SHape Retrieval Contest 2008: Stability on watertight, ...
Thibault Napoleon, Tomasz Adamek, Francis Schmitt,...
CIVR
2004
Springer
166views Image Analysis» more  CIVR 2004»
15 years 9 months ago
Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval
Abstract. A novel approach to object-based video indexing and retrieval is presented, employing an object segmentation algorithm for the real-time, unsupervised segmentation of com...
Vasileios Mezaris, Michael G. Strintzis
PCM
2004
Springer
107views Multimedia» more  PCM 2004»
15 years 9 months ago
Complete Performance Graphs in Probabilistic Information Retrieval
The performance of a Content-Based Image Retrieval (CBIR) system presented in the form of Precision-Recall or PrecisionScope graphs offers an incomplete overview of the system und...
Nicu Sebe, Dionysius P. Huijsmans, Qi Tian, Theo G...
ACSW
2004
15 years 5 months ago
Visualisation and Comparison of Image Collections based on Self-organised Maps
Self-organised maps (SOM) have been widely used for cluster analysis and visualisation purposes in exploratory data mining. In image retrieval applications, SOMs have been used to...
Da Deng, Jianhua Zhang, Martin K. Purvis