REAL-TIME ENHANCEMENT OF IMAGE AND VIDEO SALIENCY USING SEMANTIC DEPTH OF FIELD

Zhaolin Su, Shigeo Takahashi

2010

Abstract

In this paper, we propose a method for automatically directing viewers' visual attention to important regions of images and videos in low-level vision. Inspired by the modern model of visual attention, the importance map of an input scene is automatically calculated by the combination of low-level features such as intensity and color, which are extracted using spatial filters in different spatial frequencies, together with a set of temporal features extracted using a temporal filter in case of dynamic scenes. A variable-kernel-convolution based on the importance map is then performed on the input scene, in order to make semantic depth of field effects in a way that important regions remain focused while others are blurred. The pipeline of our method is efficient enough to be executed in real time on modern low-end machines, and the associated experiment demonstrates that the proposed system can be complementary to the human visual system.

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Paper Citation


in Harvard Style

Su Z. and Takahashi S. (2010). REAL-TIME ENHANCEMENT OF IMAGE AND VIDEO SALIENCY USING SEMANTIC DEPTH OF FIELD . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 370-375. DOI: 10.5220/0002825703700375

in Bibtex Style

@conference{visapp10,
author={Zhaolin Su and Shigeo Takahashi},
title={REAL-TIME ENHANCEMENT OF IMAGE AND VIDEO SALIENCY USING SEMANTIC DEPTH OF FIELD},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={370-375},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002825703700375},
isbn={978-989-674-029-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - REAL-TIME ENHANCEMENT OF IMAGE AND VIDEO SALIENCY USING SEMANTIC DEPTH OF FIELD
SN - 978-989-674-029-0
AU - Su Z.
AU - Takahashi S.
PY - 2010
SP - 370
EP - 375
DO - 10.5220/0002825703700375