[email protected] Karatay
    • Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   [email protected] Karatay
  • ARAŞTIRMA ÇIKTILARI
  • WoS İndeksli Yayınlar Koleksiyonu
  • View Item
  •   [email protected] Karatay
  • ARAŞTIRMA ÇIKTILARI
  • WoS İndeksli Yayınlar Koleksiyonu
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Sports video summarization based on motion analysis

Mendi, Engin and Clemente, Helio B. and Bayrak, Coskun
  • BibTex
  • EndNote (RIS)
Loading
Thumbnail
Date
2013
URI
http://hdl.handle.net/20.500.12498/4819
Metadata
Show full item record
Abstract
Non-annotated video is more common than ever and this fact leads to an emerging field called video summarization. Key frame selection using motion analysis can greatly increase the understanding of the video content by presenting a series of frames summarizing the intended video. In this paper, we present an automatic video summarization technique based on motion analysis. The proposed technique defines motion metrics estimated from two optical flow algorithms, each using two different key framee selection criteria. We conducted a subjective user study to evaluate the performance of the motion metrics. The summarization process is threshold free and experimental results have verified the effectiveness of the method. (C) 2012 Elsevier Ltd. All rights reserved....  Show more  Show less
Item type
Article
Collections
  • WoS İndeksli Yayınlar Koleksiyonu [274]

- KTO Karatay Kutuphanesi
- KTO Karatay Universitesi
- Contact Us / Send Feedback
DSpace software
Gemini
 

 

Browse

Communities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy lcAuthorBy TypeBy publisherBy languageBy rightsThis CollectionBy Issue DateAuthorsTitlesSubjectsBy lcAuthorBy TypeBy publisherBy languageBy rights

My Account

LoginRegister

- KTO Karatay Kutuphanesi
- KTO Karatay Universitesi
- Contact Us / Send Feedback
DSpace software
Gemini