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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Published in | IEEE transactions on pattern analysis and machine intelligence Vol. 44; no. 11; pp. 7563 - 7580 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
IEEE
01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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