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Visual Attention Analysis by Pseudo Gravitational Field by Yezhou Yang; Mingli Song; Na Li; Jiajun Bu; Chun Chen is a scholarly article available to read on EtoBox.

What is Visual Attention Analysis by Pseudo Gravitational Field about?

As a crucial step of the visual cognition and perception, visual attention analysis shows great importance in many research or application areas. In this paper, we treat this problem from a new angle, inspired by the classic gravitational field theory. By defining "mass" of each pixel, we compute "force" between them to obtain a so-called pseudo gravitational field over an image. Then, we propose an iteration algorithm to simulate the movement of the fixation points 1 affected by this field. Finally, stable visual attention points or areas are obtained when those fixation points finally aggregate around some special pixels or areas. The main contributions are threefold: (1) by introducing classic gravitational field theory into visual attention analysis, a new point of view is proposed; (2) a competition scheme is constructed and the meaning of attraction can be applied into visual attention analysis intuitively; (3) by using pixels into computation through down sampling, a faster analysis method is achieved. The experimental result shows that our method is effective and consistent with the generally accepted definition of visual attention.

Author

Yezhou Yang; Mingli Song; Na Li; Jiajun Bu; Chun Chen

Publisher

ACM

Published

2009

Language

EN