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ICASSP
2011
IEEE
8 years 3 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...
COGCOM
2010
107views more  COGCOM 2010»
8 years 8 months ago
Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention
To decide ``Where to look next ?'' is a central function of the attention system of humans, animals and robots. Control of attention depends on three factors, that is, lo...
Marco Wischnewski, Anna Belardinelli, Werner X. Sc...
HCI
2009
8 years 9 months ago
Guiding a Driver's Visual Attention Using Graphical and Auditory Animations
This contribution presents our work towards a system that autonomously guides the user's visual attention on important information (e.g., traffic situation or in-car system st...
Tony Poitschke, Florian Laquai, Gerhard Rigoll
HCI
2009
8 years 9 months ago
Using 3D Touch Interaction for a Multimodal Zoomable User Interface
Touchscreens are becoming the preferred input device in a growing number of applications. They are interesting devices which are more and more introduced into the automotive domain...
Florian Laquai, Markus Ablaßmeier, Tony Poit...
JUCS
2010
106views more  JUCS 2010»
8 years 9 months ago
Near Eyes-Free Chauffeur Computer Interaction with Chording and Visual Text Mnemonics
: Modern cars are equipped with advanced technology requiring cognitively complex operation that is reliant on the user’s visual attention. It is therefore hazardous for drivers ...
Frode Eika Sandnes, Yo-Ping Huang, Yueh-Min Huang
ICMCS
2010
IEEE
215views Multimedia» more  ICMCS 2010»
8 years 10 months ago
Saliency detection: A self-ordinal resemblance approach
In saliency detection, regions attracting visual attention need to be highlighted while effectively suppressing non-salient regions for the semantic scene understanding. However, ...
Wonjun Kim, Chanho Jung, Changick Kim
IJCV
2007
210views more  IJCV 2007»
8 years 11 months ago
A Behavioral Analysis of Computational Models of Visual Attention
Robots often incorporate computational models of visual attention to streamline processing. Even though the number of visual attention systems employed on robots has increased dram...
Frederick Shic, Brian Scassellati
COGSCI
2004
77views more  COGSCI 2004»
8 years 11 months ago
Mapping visual attention with change blindness: new directions for a new method
Change blindness provides a new technique for mapping visual attention with unprecedented spatial and temporal resolution. Change blindness can occur when a brief full-field blank...
Peter U. Tse
TVCG
2008
111views more  TVCG 2008»
8 years 11 months ago
Persuading Visual Attention through Geometry
Artists, illustrators, photographers, and cinematographers have long used the principles of contrast and composition to guide visual attention. In this paper, we introduce geometry...
Youngmin Kim, Amitabh Varshney
PRL
2006
117views more  PRL 2006»
8 years 11 months ago
Motion features to enhance scene segmentation in active visual attention
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
María T. López, Antonio Ferná...
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