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MIR
2010
ACM
207views Multimedia» more  MIR 2010»
14 years 7 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
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...
ICMCS
2007
IEEE
255views Multimedia» more  ICMCS 2007»
15 years 3 months ago
Distributed Architecture for Large Scale Image-Based Search
In recent years, some computer vision algorithms such as SIFT (Scale Invariant Feature Transform) have been employed in image similarity match to perform image-based search applic...
Yu Zheng, Xing Xie, Wei-Ying Ma
JASIS
2000
120views more  JASIS 2000»
14 years 9 months ago
Probabilistic datalog: Implementing logical information retrieval for advanced applications
In the logical approach to information retrieval (IR), retrieval is considered as uncertain inference. Whereas classical IR models are based on propositional logic, we combine Dat...
Norbert Fuhr
99
Voted
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
15 years 2 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen