High Definition Visual Attention based Video Summarization

Yiming Qian, Matthew Kyan

Abstract

A High Definition visual attention based video summarization algorithm is proposed to extract feature frames and create a video summary. It uses colour histogram shot detection algorithm to separate the video into shots, then applies a novel high definition visual attention algorithm to construct a saliency map for each frame. A multivariate mutual information algorithm is applied to select a feature frame to represent each shot. Finally, those feature frames are processed by a self-organizing map to remove the redundant frames. The algorithm was assessed against manual key frame summaries presented with tested datasets from www.open-video.org. Of the frames selected by the algorithm, 27.8% to 68.1% were in agreement with the manual frame summaries depending on the category and length of the video.

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Paper Citation


in Harvard Style

Qian Y. and Kyan M. (2014). High Definition Visual Attention based Video Summarization . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 634-640. DOI: 10.5220/0004742206340640


in Bibtex Style

@conference{visapp14,
author={Yiming Qian and Matthew Kyan},
title={High Definition Visual Attention based Video Summarization},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={634-640},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004742206340640},
isbn={978-989-758-003-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - High Definition Visual Attention based Video Summarization
SN - 978-989-758-003-1
AU - Qian Y.
AU - Kyan M.
PY - 2014
SP - 634
EP - 640
DO - 10.5220/0004742206340640