Detail publikace

On-line Video Synchronization Based on Visual Vocabularies

BERAN, V. ZEMČÍK, P. HEROUT, A.

Originální název

On-line Video Synchronization Based on Visual Vocabularies

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

This paper presents the procedure for on-line visual-content-based video synchronization. The motivation of our pioneering work is the existence of several off-line video processing systems employed in video classification or summarization applications, but no evidence of on-line solutions for video analysis. In some applications, the video streams go through the broadcast systems that delay the original video and also distort the original signal. The system that would be able to automatically detect such delays, transmission errors, distortions or broadcast failure is highly required. Our solution employs visual vocabularies that allow signing the video frames by bag-of-words. The synchronization procedure is then based on searching for similar frames from different video streams. This paper also overviews the state-of-the-art techniques required for visual vocabulary building and discuss the convenient properties of techniques for real-time on-line systems.

Klíčová slova

On-line video processing, visual vocabulary, video synchronization

Autoři

BERAN, V.; ZEMČÍK, P.; HEROUT, A.

Rok RIV

2010

Vydáno

20. 3. 2010

ISSN

1737-9253

Periodikum

International Journal of Signal and Image Processing

Ročník

2010

Číslo

2

Stát

Tuniská republika

Strany od

1

Strany do

7

Strany počet

7

URL

https://www.fit.vut.cz/research/publication/9180/

BibTex

@article{BUT50540,
  author="Vítězslav {Beran} and Pavel {Zemčík} and Adam {Herout}",
  title="On-line Video Synchronization Based on Visual Vocabularies",
  journal="International Journal of Signal and Image Processing",
  year="2010",
  volume="2010",
  number="2",
  pages="1--7",
  issn="1737-9253",
  url="https://www.fit.vut.cz/research/publication/9180/"
}

Dokumenty

beran_video_online_processing_final.pdf