Hierarchical Bayesian LSTM for Head Trajectory Prediction on Omnidirectional Images

When viewing omnidirectional images (ODIs), viewers can access different viewports via head movement (HM), which sequentially forms head trajectories in spatial-temporal domain. Thus, head trajectories play a key role in modeling human attention on ODIs. In this paper, we establish a large-scale dat...

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Bibliographic Details
Published inIEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 11; pp. 7563 - 7580
Main Authors Yang, Li, Xu, Mai, Guo, Yichen, Deng, Xin, Gao, Fangyuan, Guan, Zhenyu
Format Journal Article
LanguageEnglish
Published United States IEEE 01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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