Sciweavers

11484 search results - page 404 / 2297
» Modeling in the Large and Modeling in the Small
Sort
View
PAMI
2010
192views more  PAMI 2010»
15 years 5 months ago
Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Tamar Avraham, Michael Lindenbaum
208
Voted
CVPR
2011
IEEE
15 years 3 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
TIP
2010
93views more  TIP 2010»
15 years 1 months ago
Relevance of a Feed-Forward Model of Visual Attention for Goal-Oriented and Free-Viewing Tasks
A purely bottom-up model of visual attention is proposed and compared to five state-of-the-art models. The role of the low-level visual features is examined in two contexts. Two da...
Olivier Le Meur, Jean-Claude Chevet
187
Voted
CVPR
2005
IEEE
16 years 9 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
ICIP
2007
IEEE
16 years 8 months ago
A Fully Scalable Motion Model for Scalable Video Coding
Motion information scalability is an important requirement for a fully scalable video codec, especially in low bit rate or small resolution decoding scenarios. So far, several lay...
Meng-Ping Kao, Truong Nguyen