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122
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ICMCS
2005
IEEE
106views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Retrieval of 3D objects using curvature correlograms
Along with images and videos, 3D models have raised a certain interest for a number of reasons, including advancements in 3D hardware and software technologies, their ever decreas...
Gianni Antini, Stefano Berretti, Alberto Del Bimbo...
145
Voted
AMR
2005
Springer
100views Multimedia» more  AMR 2005»
15 years 9 months ago
Using Segmented Objects in Ostensive Video Shot Retrieval
This paper presents a system for video shot retrieval in which shots are retrieved based on matching video objects using a combination of colour, shape and texture. Rather than mat...
Sorin Sav, Hyowon Lee, Alan F. Smeaton, Noel E. O'...
145
Voted
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 9 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
109
Voted
SIGIR
2000
ACM
15 years 8 months ago
Hill climbing algorithms for content-based retrieval of similar configurations
The retrieval of stored images matching an input configuration is an important form of content-based retrieval. Exhaustive processing (i.e., retrieval of the best solutions) of co...
Dimitris Papadias
121
Voted
IADIS
2004
15 years 5 months ago
The outline of an 'intelligent' image retrieval engine
The first image retrieval systems hold the advantage of being fully automatic, and thus scalable to large collections of images but are restricted to the representation of low-lev...
Mohammed Belkhatir, Philippe Mulhem, Yves Chiarame...