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ACMSE
2006
ACM
14 years 9 days ago
Using visual attention to extract regions of interest in the context of image retrieval
Recent research on computational modeling of visual attention has demonstrated that a bottom-up approach to identifying salient regions within an image can be applied to diverse a...
Oge Marques, Liam M. Mayron, Gustavo B. Borba, Hum...
CIVR
2010
Springer
247views Image Analysis» more  CIVR 2010»
13 years 1 months ago
Coherent bag-of audio words model for efficient large-scale video copy detection
Current content-based video copy detection approaches mostly concentrate on the visual cues and neglect the audio information. In this paper, we attempt to tackle the video copy d...
Yang Liu, Wanlei Zhao, Chong-Wah Ngo, Changsheng X...
ISCA
2000
IEEE
63views Hardware» more  ISCA 2000»
13 years 10 months ago
An embedded DRAM architecture for large-scale spatial-lattice computations
Spatial-lattice computations with finite-range interactions are an important class of easily parallelized computations. This class includes many simple and direct algorithms for ...
Norman Margolus
CVPR
2012
IEEE
11 years 8 months ago
Three things everyone should know to improve object retrieval
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...
Relja Arandjelovic, Andrew Zisserman
MM
2004
ACM
154views Multimedia» more  MM 2004»
13 years 11 months ago
PLSA-based image auto-annotation: constraining the latent space
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
Florent Monay, Daniel Gatica-Perez