Complexity Analysis of Video Frames by Corresponding Audio Features

SeungHo Shin; TaeYong Kim

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Paper

Complexity Analysis of Video Frames by Corresponding Audio Features

Topics: Audio and Video Quality Assessment; Image and Video Processing, Compression and Segmentation; Perceptual/Human Audiovisual System Modeling

In Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 0ICETE, 111-114, 2012 , Rome, Italy

Authors: SeungHo Shin and TaeYong Kim

Affiliation: Chung-Ang University, Korea, Republic of

Keyword(s): Video Complexity Analysis, Video Indexing, Audio Indexing, Rate-control.

Related Ontology Subjects/Areas/Topics: Audio and Video Quality Assessment ; Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Perceptual/Human Audiovisual System Modeling ; Telecommunications

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.

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Paper citation in several formats:

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 (ICETE 2012) - SIGMAP; ISBN 978-989-8565-25-9, SciTePress, pages 111-114. DOI: 10.5220/0003982001110114

@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 (ICETE 2012) - SIGMAP},
year={2012},
pages={111-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003982001110114},
isbn={978-989-8565-25-9},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems (ICETE 2012) - SIGMAP
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
PB - SciTePress