@inproceedings{92023734e45c4cc9bd1626c497e92e01,
title = "Video Semantics Quality Assessment Using Deep Learning",
abstract = "This work proposes a method to assess the quality of user-generated videos (UGVs) of specific social events. The method is based on matching the semantic information extracted from videos and the information obtained from text news of the same event. Deep learning techniques are used to detect objects in the video scenes. News articles are represented by a set of relevant terms automatically extracted from the news. This paper describes our method and an evaluation of it.",
keywords = "Semantic deep learning, User generated content, Video quality assessment",
author = "Rui Jesus and B{\'a}rbara Silveira and Nuno Correia",
note = "info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04516%2F2020/PT# ; 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 ; Conference date: 04-11-2020 Through 06-11-2020",
year = "2020",
doi = "10.1007/978-3-030-62365-4_16",
language = "English",
isbn = "978-3-030-62364-7",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "165--172",
editor = "Cesar Analide and Paulo Novais and David Camacho and Hujun Yin",
booktitle = "Intelligent Data Engineering and Automated Learning – IDEAL 2020 - 21st International Conference, 2020, Proceedings",
address = "Netherlands",
}