Semi-automatic video assessment system

Nuno Correia, Pedro Martins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings of the 15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017
PublisherAssociation for Computing Machinery
VolumePart F130150
ISBN (Electronic)9781450353335
DOIs
Publication statusPublished - 19 Jun 2017
Event15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017 - Firenze, Italy
Duration: 19 Jun 201721 Jun 2017

Conference

Conference15th International Workshop on Content-Based Multimedia Indexing, CBMI 2017
CountryItaly
CityFirenze
Period19/06/1721/06/17

Keywords

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

Fingerprint Dive into the research topics of 'Semi-automatic video assessment system'. Together they form a unique fingerprint.

  • Cite this

    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] Association for Computing Machinery. https://doi.org/10.1145/3095713.3095748