Homer H. Chen,Su-Ling Yeh,Tai-Hsiang Huang,Wen-Fu Lee,Ling-Hsiu Huang
申请号：
US13187287
公开号：
US08636361B2
申请日:
2011.07.20
申请国别(地区):
US
年份:
2014
代理人:
摘要：
A learning-based visual attention prediction method is disclosed. The method includes a correlation relationship between the fixation density and at least one feature information being learned by training, followed by a test video sequence of test frames being received. Afterward, at least one tested feature map is generated for each test frame based on the feature information. Finally, the tested feature map is mapped into a saliency map, which indicates the fixation strength of the corresponding test frame, according to the correlation relationship.
