TY - GEN
T1 - Temporal relation between bottom-up vs top-down strategies for gaze prediction
AU - Krishna, Sreekar
AU - Black, John A.
AU - Braiman, Stuart
AU - Panchanathan, Sethuraman
PY - 2007
Y1 - 2007
N2 - Much research has been focused on the study of bottom-up, feature-based visual perception, as a means to generate salience maps, and predict the distribution of fixations within images. However, it is plausible that the eventual perception of distinct objects within a 3D scene (and the subsequent top-down effects) would also have a significant effect on the distributions of fixations within that scene. This research is aimed at testing a hypothesis that there exists a switching from feature-based to object-based scanning of images, as the viewer gains a higher-level understanding of the image content, and that this switching can be detected by changes in the pattern of eye fixations within the image. An eye tracker is used to monitor the fixations of human participants over time, as they view images, in an effort to answer questions pertaining to (1) the nature of fixations during bottom-up and top-down scene scan scenarios (2) the ability of assessing whether the subject is perceiving the scene content based on low-level visual features or distinct objects, and (3) identification of the participant's transition from a bottom-up feature-based perception to a top-down object-based perception.
AB - Much research has been focused on the study of bottom-up, feature-based visual perception, as a means to generate salience maps, and predict the distribution of fixations within images. However, it is plausible that the eventual perception of distinct objects within a 3D scene (and the subsequent top-down effects) would also have a significant effect on the distributions of fixations within that scene. This research is aimed at testing a hypothesis that there exists a switching from feature-based to object-based scanning of images, as the viewer gains a higher-level understanding of the image content, and that this switching can be detected by changes in the pattern of eye fixations within the image. An eye tracker is used to monitor the fixations of human participants over time, as they view images, in an effort to answer questions pertaining to (1) the nature of fixations during bottom-up and top-down scene scan scenarios (2) the ability of assessing whether the subject is perceiving the scene content based on low-level visual features or distinct objects, and (3) identification of the participant's transition from a bottom-up feature-based perception to a top-down object-based perception.
KW - Bottom-up and Top-down scene scan
KW - Eye-tracking
KW - Nature of saccades and fixations
KW - Object content
UR - http://www.scopus.com/inward/record.url?scp=34548218751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548218751&partnerID=8YFLogxK
U2 - 10.1117/12.707574
DO - 10.1117/12.707574
M3 - Conference contribution
AN - SCOPUS:34548218751
SN - 0819466050
SN - 9780819466051
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Human Vision and Electronic Imaging XII
T2 - Human Vision and Electronic Imaging XII
Y2 - 29 January 2007 through 1 February 2007
ER -