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» Describing Objects by their Attributes
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BMVC
2001
13 years 11 months ago
Zernike Velocity Moments for Description and Recognition of Moving Shapes
New Zernike velocity moments have been developed to describe an object, not only by its shape , but also by its motion throughout an image sequence. These are an extended form of ...
Jamie D. Shutler, Mark S. Nixon
UML
2005
Springer
14 years 2 months ago
Modeling Turnpike Frontend System: A Model-Driven Development Framework Leveraging UML Metamodeling and Attribute-Oriented Progr
This paper describes and empirically evaluates a new model-driven development framework, called Modeling Turnpike (or mTurnpike). It allows developers to model and program domain-s...
Hiroshi Wada, Junichi Suzuki
NIPS
2007
13 years 10 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
CVPR
2012
IEEE
11 years 11 months ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...
CVPR
2011
IEEE
13 years 5 months ago
Interactively Building a Discriminative Vocabulary of Nameable Attributes
Human-nameable visual attributes offer many advantages when used as mid-level features for object recognition, but existing techniques to gather relevant attributes can be ineffici...
Devi Parikh, Kristen Grauman