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» Unifying Keywords and Visual Contents in Image Retrieval
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MM
2009
ACM
209views Multimedia» more  MM 2009»
15 years 4 months ago
Brain state decoding for rapid image retrieval
Human visual perception is able to recognize a wide range of targets under challenging conditions, but has limited throughput. Machine vision and automatic content analytics can p...
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang J...
MIR
2005
ACM
197views Multimedia» more  MIR 2005»
15 years 3 months ago
Enhanced ontologies for video annotation and retrieval
A typical way to perform video annotation requires to classify video elements (e.g. events and objects) according to some pre-defined ontology of the video content domain. Ontolo...
Marco Bertini, Alberto Del Bimbo, Carlo Torniai
CLEF
2009
Springer
14 years 7 months ago
Clustering for Text and Image-Based Photo Retrieval at CLEF 2009
For this year's Image CLEF Photo Retrieval task, we have prepared 5 submission runs to help us assess the effectiveness of 1) image content-based retrieval, and 2) textbased ...
Qian Zhu, Diana Inkpen
EDBTW
2010
Springer
15 years 1 months ago
Text-to-query: dynamically building structured analytics to illustrate textual content
Successfully structuring information in databases, OLAP cubes, and XML is a crucial element in managing data nowadays. However this process brought new challenges to usability. It...
Raphaël Thollot, Falk Brauer, Wojciech M. Bar...
MVA
2006
205views Computer Vision» more  MVA 2006»
14 years 9 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town