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Personalized estimation of engagement from videos using active learning with deep reinforcement learning

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    Postprint. © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Metadaten
Author:Ognjen Rudovic, Hae Won Park, John Busche, Björn SchullerORCiDGND, Cynthia Breazeal, Rosalind W. Picard
URN:urn:nbn:de:bvb:384-opus4-771492
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/77149
ISBN:9781728125060OPAC
Parent Title (English):2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 16-17 June 2019, Long Beach, CA, USA
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Larry Davis, Philip Torr, Song-Chun Zhu, William Brendel, Mohamed R. Amer
Type:Part of a Book
Language:English
Year of first Publication:2019
Publishing Institution:Universität Augsburg
Release Date:2020/06/19
First Page:217
Last Page:226
DOI:https://doi.org/10.1109/cvprw.2019.00031
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

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