Semi-automatic video assessment system

Nuno Correia; Pedro Martins

doi:10.1145/3095713.3095748

Semi-automatic video assessment system

Nuno Correia, Pedro Martins

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper describes a system for semi-automatic quality assessment of user generated content (UGC) from large events. It uses image and video processing techniques1 combined with a computational quality model that takes in account aesthetics and how human visual perception and attention mechanisms discriminate visual interest. We describe the approach and show that the developed system allows to sort and filter a large stream of UGC in an efficient and timely manner.

Original language	English
Title of host publication	Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017
Publisher	ACM - Association for Computing Machinery
Volume	Part F130150
ISBN (Electronic)	9781450353335
DOIs	https://doi.org/10.1145/3095713.3095748
Publication status	Published - 19 Jun 2017
Event	15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017 - Firenze, Italy Duration: 19 Jun 2017 → 21 Jun 2017

Conference

Conference	15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017
Country/Territory	Italy
City	Firenze
Period	19/06/17 → 21/06/17

Keywords

Aesthetics
Interestingness
Large events
Model of attention and perception
UGC
Video quality assessment

Access to Document

10.1145/3095713.3095748

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@inproceedings{767bc5f46a8d43aba61049ff529eb762,

title = "Semi-automatic video assessment system",

abstract = "This paper describes a system for semi-automatic quality assessment of user generated content (UGC) from large events. It uses image and video processing techniques1 combined with a computational quality model that takes in account aesthetics and how human visual perception and attention mechanisms discriminate visual interest. We describe the approach and show that the developed system allows to sort and filter a large stream of UGC in an efficient and timely manner.",

keywords = "Aesthetics, Interestingness, Large events, Model of attention and perception, UGC, Video quality assessment",

author = "Nuno Correia and Pedro Martins",

note = "This work was partially supported by Cognitus [11] an H2020 project.; 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017 ; Conference date: 19-06-2017 Through 21-06-2017",

year = "2017",

month = jun,

day = "19",

doi = "10.1145/3095713.3095748",

language = "English",

volume = "Part F130150",

booktitle = "Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017",

publisher = "ACM - Association for Computing Machinery",

address = "United States",

}

Correia, N & Martins, P 2017, Semi-automatic video assessment system. in Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017. vol. Part F130150, a33, ACM - Association for Computing Machinery, 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017, Firenze, Italy, 19/06/17. https://doi.org/10.1145/3095713.3095748

TY - GEN

T1 - Semi-automatic video assessment system

AU - Correia, Nuno

AU - Martins, Pedro

N1 - This work was partially supported by Cognitus [11] an H2020 project.

PY - 2017/6/19

Y1 - 2017/6/19

N2 - This paper describes a system for semi-automatic quality assessment of user generated content (UGC) from large events. It uses image and video processing techniques1 combined with a computational quality model that takes in account aesthetics and how human visual perception and attention mechanisms discriminate visual interest. We describe the approach and show that the developed system allows to sort and filter a large stream of UGC in an efficient and timely manner.

AB - This paper describes a system for semi-automatic quality assessment of user generated content (UGC) from large events. It uses image and video processing techniques1 combined with a computational quality model that takes in account aesthetics and how human visual perception and attention mechanisms discriminate visual interest. We describe the approach and show that the developed system allows to sort and filter a large stream of UGC in an efficient and timely manner.

KW - Aesthetics

KW - Interestingness

KW - Large events

KW - Model of attention and perception

KW - UGC

KW - Video quality assessment

UR - http://www.scopus.com/inward/record.url?scp=85030755309&partnerID=8YFLogxK

U2 - 10.1145/3095713.3095748

DO - 10.1145/3095713.3095748

M3 - Conference contribution

AN - SCOPUS:85030755309

VL - Part F130150

BT - Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017

PB - ACM - Association for Computing Machinery

T2 - 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017

Y2 - 19 June 2017 through 21 June 2017

ER -

Semi-automatic video assessment system

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