TRACK: A Multi-Modal Deep Architecture for Head Motion Prediction in 360-Degree Videos

Miguel Romero Rondon; Lucile Sassatelli; Ramon Aparicio-Pardo; Frédéric Precioso

Conference papers

TRACK: A Multi-Modal Deep Architecture for Head Motion Prediction in 360-Degree Videos

Miguel Romero Rondon ¹ Lucile Sassatelli ¹ Ramon Aparicio-Pardo ¹ Frédéric Precioso ²

1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe SIGNET

Laboratoire I3S - SIS - Signal, Images et Systèmes

2 COMUE UCA - COMUE Université Côte d'Azur (2015 - 2019)

Document type :

Conference papers

Domain :

Computer Science [cs] / Computer Vision and Pattern Recognition [cs.CV]

Computer Science [cs] / Machine Learning [cs.LG]

Computer Science [cs] / Multimedia [cs.MM]

Computer Science [cs] / Neural and Evolutionary Computing [cs.NE]

Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-02615980
Contributor : Lucile Sassatelli <>
Submitted on : Sunday, May 24, 2020 - 2:08:42 AM
Last modification on : Tuesday, May 26, 2020 - 6:50:59 PM

TRACK: A Multi-Modal Deep Architecture for Head Motion Prediction in 360-Degree Videos

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TRACK: A Multi-Modal Deep Architecture for Head Motion Prediction in 360-Degree Videos

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