TY - GEN
T1 - A multi-resolution saliency framework to drive foveation
AU - Advani, Siddharth
AU - Sustersic, John
AU - Irick, Kevin
AU - Narayanan, Vijaykrishnan
PY - 2013/10/18
Y1 - 2013/10/18
N2 - The Human Visual System (HVS) exhibits multi-resolution characteristics, where the fovea is at the highest resolution while the resolution tapers off towards the periphery. Given enough activity at the periphery, the HVS is then capable to foveate to the next region of interest (ROI), to attend to it at full resolution. Saliency models in the past have focused on identifying features that can be used in a bottom-up manner to generate conspicuity maps, which are then combined together to provide regions of fixated interest. However, these models neglect to take into consideration the foveal relation of an object of interest. The model proposed in this work aims to compute saliency as a function of distance from a given fixation point, using a multi-resolution framework. Apart from computational benefits, significant motivation can be found from this work in areas such as visual search, robotics, communications etc.
AB - The Human Visual System (HVS) exhibits multi-resolution characteristics, where the fovea is at the highest resolution while the resolution tapers off towards the periphery. Given enough activity at the periphery, the HVS is then capable to foveate to the next region of interest (ROI), to attend to it at full resolution. Saliency models in the past have focused on identifying features that can be used in a bottom-up manner to generate conspicuity maps, which are then combined together to provide regions of fixated interest. However, these models neglect to take into consideration the foveal relation of an object of interest. The model proposed in this work aims to compute saliency as a function of distance from a given fixation point, using a multi-resolution framework. Apart from computational benefits, significant motivation can be found from this work in areas such as visual search, robotics, communications etc.
UR - http://www.scopus.com/inward/record.url?scp=84890527792&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890527792&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6638125
DO - 10.1109/ICASSP.2013.6638125
M3 - Conference contribution
AN - SCOPUS:84890527792
SN - 9781479903566
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2596
EP - 2600
BT - 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
T2 - 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Y2 - 26 May 2013 through 31 May 2013
ER -