An Efficient Video Series Decision Algorithm Based on Actor-Face Recognition

Hong Rae Lee, Hwee Kim, Yo Sub Han, Yongseok Seo, Dong Hyuck Im

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

Abstract

It is an important task to check whether or not an uploaded video on the Internet violates the copyright. One of the most common approaches for checking such videos is to compare an uploaded video with respect to the sample data provided the original owner. A disadvantage of this approach is that a large amount of sample data must be stored in the database before, and also the task becomes very challenging when an uploaded video is distorted. We propose a method of generating a signature set that characterizes a series of video sets based on face recognition data, and suggest an efficient method on how to identify which series is included in the corresponding series set. We demonstrate that the proposed method can effectively determine whether or not a video is in a series set even if the video data is relatively small as an input for the previous method.

Original languageEnglish
Title of host publication2018 International Conference on Platform Technology and Service, PlatCon 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647103
DOIs
Publication statusPublished - 2018 Sep 25
Event2018 International Conference on Platform Technology and Service, PlatCon 2018 - Jeju, Korea, Republic of
Duration: 2018 Jan 292018 Jan 31

Publication series

Name2018 International Conference on Platform Technology and Service, PlatCon 2018

Other

Other2018 International Conference on Platform Technology and Service, PlatCon 2018
Country/TerritoryKorea, Republic of
CityJeju
Period18/1/2918/1/31

Bibliographical note

Funding Information:
This research was supported by Ministry of Culture, Sports and Tourism (MCST) and from Korea Copyright Commission in 2017. [2015-related-9500: Development of predictive detection technology for the search for the related works and the prevention of copyright infringement]

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Science Applications

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