A configurable architecture for a visual saliency system and its application in retail

Nandhini Chandramoorthy; Siddarth Advani; Kevin M. Irick; Vijaykrishnan Narayanan

doi:10.1109/FCCM.2013.41

A configurable architecture for a visual saliency system and its application in retail

Nandhini Chandramoorthy, Siddarth Advani, Kevin M. Irick, Vijaykrishnan Narayanan

Research output: Contribution to conference › Paper › peer-review

Abstract

Visual attention in a scene has been the focus of study for many years and several theories have been advanced to explain human attention behaviour and fixation patterns. Of particular interest to us is the concept of bottom-up visual stimulus-driven saliency. AIM (Attention based on Information Maximization) is a computational model that mimics the interaction between a local cell's activation and the activation of cells in the larger surrounding neighborhood. AIM explains the concept of visual salience in terms of the amount of information present in an image patch within the context of its surround - i.e. how likely the patch is to appear with respect to its surround.

Original language	English (US)
Number of pages	1
DOIs	https://doi.org/10.1109/FCCM.2013.41
State	Published - Aug 12 2013
Event	21st Annual International IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2013 - Seattle, WA, United States Duration: Apr 28 2013 → Apr 30 2013

Other

Other	21st Annual International IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2013
Country/Territory	United States
City	Seattle, WA
Period	4/28/13 → 4/30/13

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Software
Electrical and Electronic Engineering

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10.1109/FCCM.2013.41

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abstract = "Visual attention in a scene has been the focus of study for many years and several theories have been advanced to explain human attention behaviour and fixation patterns. Of particular interest to us is the concept of bottom-up visual stimulus-driven saliency. AIM (Attention based on Information Maximization) is a computational model that mimics the interaction between a local cell's activation and the activation of cells in the larger surrounding neighborhood. AIM explains the concept of visual salience in terms of the amount of information present in an image patch within the context of its surround - i.e. how likely the patch is to appear with respect to its surround.",

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A configurable architecture for a visual saliency system and its application in retail. / Chandramoorthy, Nandhini; Advani, Siddarth; Irick, Kevin M. et al.
2013. Paper presented at 21st Annual International IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM 2013, Seattle, WA, United States.

Research output: Contribution to conference › Paper › peer-review

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AB - Visual attention in a scene has been the focus of study for many years and several theories have been advanced to explain human attention behaviour and fixation patterns. Of particular interest to us is the concept of bottom-up visual stimulus-driven saliency. AIM (Attention based on Information Maximization) is a computational model that mimics the interaction between a local cell's activation and the activation of cells in the larger surrounding neighborhood. AIM explains the concept of visual salience in terms of the amount of information present in an image patch within the context of its surround - i.e. how likely the patch is to appear with respect to its surround.

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A configurable architecture for a visual saliency system and its application in retail

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