Complexity Analysis of Video Frames by Corresponding Audio Features

SeungHo Shin, TaeYong Kim

Abstract

In this paper, we propose a method to estimate the video complexity by using audio features based on human synesthesia factors. By analyzing the features of audio segments related to video frames, we initially estimate the complexity of the video frames and can improve the performance of video compression. The effectiveness of proposed method is verified by applying it to an actual H.264/AVC Rate-Control.

References

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Paper Citation


in Harvard Style

Shin S. and Kim T. (2012). Complexity Analysis of Video Frames by Corresponding Audio Features . In Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012) ISBN 978-989-8565-25-9, pages 111-114. DOI: 10.5220/0003982001110114


in Bibtex Style

@conference{sigmap12,
author={SeungHo Shin and TaeYong Kim},
title={Complexity Analysis of Video Frames by Corresponding Audio Features},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)},
year={2012},
pages={111-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003982001110114},
isbn={978-989-8565-25-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)
TI - Complexity Analysis of Video Frames by Corresponding Audio Features
SN - 978-989-8565-25-9
AU - Shin S.
AU - Kim T.
PY - 2012
SP - 111
EP - 114
DO - 10.5220/0003982001110114