High Definition Visual Attention based Video Summarization

Yiming Qian, Matthew Kyan

2014

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.

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