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MIR
2010
ACM
232views Multimedia» more  MIR 2010»
16 years 25 days ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
TIP
2008
344views more  TIP 2008»
15 years 5 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
ICPR
2010
IEEE
15 years 10 months ago
Improving Undersampled MRI Reconstruction Using Non-Local Means
Obtaining high quality images in MR is desirable not only for accurate visual assessment but also for automatic processing to extract clinically relevant parameters. Filtering-bas...
Ganesh Adluru, Tolga Tasdizen, Ross Whitaker, Edwa...
CHI
2009
ACM
16 years 6 months ago
Wetpaint: scraping through multi-layered images
We introduce a technique for exploring multi-layered images by scraping arbitrary areas to determine meaningful relationships. Our system, called Wetpaint, uses perceptual depth c...
Hiroshi Ishii, Jürgen P. Schulze, Leonardo Bo...
CIVR
2007
Springer
138views Image Analysis» more  CIVR 2007»
16 years 5 days ago
SemRetriev: an ontology driven image retrieval system
This paper describes the technical details of SemRetriev, a prototype system for image retrieval which combines the use of an ontology which structures an image repository and of ...
Adrian Popescu, Pierre-Alain Moëllic, Christo...