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» Semantic Hierarchies for Visual Object Recognition
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MM
2010
ACM
146views Multimedia» more  MM 2010»
14 years 9 months ago
Making computers look the way we look: exploiting visual attention for image understanding
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations ...
Harish Katti, Subramanian Ramanathan, Mohan S. Kan...
TMM
2010
241views Management» more  TMM 2010»
14 years 4 months ago
Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections
As digital cameras with Global Positioning System (GPS) capability become available and people geotag their photos using other means, it is of great interest to annotate semantic e...
Junsong Yuan, Jiebo Luo, Ying Wu
CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...
ICIP
2003
IEEE
15 years 11 months ago
On automatic annotation of meeting databases
In this paper, we discuss meetings as an application domain for multimedia content analysis. Meeting databases are a rich data source suitable for a variety of audio, visual and m...
Daniel Gatica-Perez, Hervé Bourlard, Iain M...
CVPR
2006
IEEE
15 years 11 months ago
A Design Principle for Coarse-to-Fine Classification
Coarse-to-fine classification is an efficient way of organizing object recognition in order to accommodate a large number of possible hypotheses and to systematically exploit shar...
Sachin Gangaputra, Donald Geman