Video summarization based on extracted key position of spotted objects

Zaur Fataliyev, David Han, Yadigar Imamverdiyev, Hanseok Ko

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

1 Citation (Scopus)

Abstract

This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics, ICCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages331-332
Number of pages2
ISBN (Electronic)9781479975426
DOIs
Publication statusPublished - 2015 Mar 23
Event2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States
Duration: 2015 Jan 92015 Jan 12

Publication series

Name2015 IEEE International Conference on Consumer Electronics, ICCE 2015

Other

Other2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Country/TerritoryUnited States
CityLas Vegas
Period15/1/915/1/12

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Fingerprint

Dive into the research topics of 'Video summarization based on extracted key position of spotted objects'. Together they form a unique fingerprint.

Cite this