A Multimodal Saliency Model for Videos With High Audio-Visual Correspondence

Audio information has been bypassed by most of current visual attention prediction studies. However, sound could have influence on visual attention and such influence has been widely investigated and proofed by many psychological studies. In this paper, we propose a novel multi-modal saliency (MMS)...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 29; pp. 3805 - 3819
Main Authors:	Min, Xiongkuo, Zhai, Guangtao, Zhou, Jiantao, Zhang, Xiao-Ping, Yang, Xiaokang, Guan, Xinping
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation models attention fusion Audio data Audio-visual attention Brain modeling Computational modeling Correlation analysis Free energy Machine learning Modal analysis Modelling multimodal Predictive models Salience saliency Sound sources Videos visual attention Visual databases Visualization
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!