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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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 11 vom: 01. Nov., Seite 7563-7580
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| Auteur principal: |
Yang, Li
(Auteur) |
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| Autres auteurs: |
Xu, Mai,
Guo, Yichen,
Deng, Xin,
Gao, Fangyuan,
Guan, Zhenyu |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article
Research Support, Non-U.S. Gov't |
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