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» Evaluating Image Retrieval
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MM
2006
ACM
158views Multimedia» more  MM 2006»
14 years 3 months ago
Extreme video retrieval: joint maximization of human and computer performance
We present an efficient system for video search that maximizes the use of human bandwidth, while at the same time exploiting the machine’s ability to learn in real-time from use...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...
IIR
2010
13 years 11 months ago
A Study on Evaluation on Opinion Retrieval Systems
We study the evaluation of opinion retrieval systems. Opinion retrieval is a relatively new research area, nevertheless classical evaluation measures, those adopted for ad hoc ret...
Giambattista Amati, Giuseppe Amodeo, Valerio Capoz...
TMM
2002
163views more  TMM 2002»
13 years 9 months ago
Image segmentation and similarity of color-texture objects
Abstract-- We aim for content-based image retrieval of textured objects in natural scenes under varying illumination and viewing conditions. To achieve this, image retrieval is bas...
Theo Gevers
CLEF
2008
Springer
13 years 11 months ago
Clustering for Photo Retrieval at Image CLEF 2008
This paper presents the first participation of the University of Ottawa group in the Photo Retrieval task at Image CLEF 2008. Our system uses Lucene for text indexing and LIRE for ...
Diana Inkpen, Marc Stogaitis, François DeGu...