The Impact of Task on Visual Attention
Mingyang Song, Jun Xia, Yun Ling, Wei Lei · 2009
Visual attention of human visual system has significant impact on the performance of video and image processing, encoding and decoding, quality assessment, machine vision, and so on. Visual attention is classified into two types: task-driven and data-driven. The difference between these two types of visual attention is essential to develop computational model. And so far the influential factors for the visual attention with and without task haven't been well studied. In this paper, we developed a 3D correlation analysis to evaluate the difference between these two types of visual attention by using video quality assessment as a task. The result shows a strong impact of task and video content on the ROIs.