A New Hybrid Model for Video Shot Saliency Extraction

DOI

10.2991/csss-14.2014.36How to use a DOI?

Keywords

visual attention; saliency extraction; video image.

Abstract

Video screen shots of images are special, and they are motive compare to other images. To extract saliency maps from video images quickly and accurately is a hard task. This paper is inspired by some excellent works, employing the combination of several ideas to propose a hybrid model for extracting saliency. The hybrid model to extract salient region is based on visual attention theory, dynamic feature saliency maps extraction technique, and motion-prior idea integrate spatial with time. We perform experiments to make extraction with itti model, and results prove the fact that the proposed model can get an ideal effect when extract salient region dynamically considering the combination of speed and direction is closing to biological visual mechanisms.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tao Fang
PY  - 2014/06
DA  - 2014/06
TI  - A New Hybrid Model for Video Shot Saliency Extraction
BT  - Proceedings of the 3rd International Conference on Computer Science and Service System
PB  - Atlantis Press
SP  - 157
EP  - 161
SN  - 1951-6851
UR  - https://doi.org/10.2991/csss-14.2014.36
DO  - 10.2991/csss-14.2014.36
ID  - Fang2014/06
ER  -