An Autonomous Aesthetics-driven Photographing Instructor with Personality Prediction

DOI

10.2991/visio-13.2014.3How to use a DOI?

Keywords

Computer vision, computa-tional aesthetics, autonomous photo-graphing instructor, personality prediction, social network.

Abstract

In this paper, an autonomous aesthetics-driven photographing instructor system is proposed, which gives instructions to help camera users to take good images. There are two kinds of instructions: image composition and personality feature enhancement. As for composition, a salient region is used to match the aesthetical template. To keep the personality of the autonomous photographing instructor system, the correlation between user types and image features is extracted through data mining on social networks, which is called “personality prediction.” The proposed system is run in realtime and workable on all mobile devices with cameras.

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  - Chin-Shyurng Fahn
AU  - Meng-Luen Wu
PY  - 2013/12
DA  - 2013/12
TI  - An Autonomous Aesthetics-driven Photographing Instructor with Personality Prediction
BT  - Proceedings of the 2013 International Conference on Computer Graphics,Visualization, Computer Vision, and Game Technology
PB  - Atlantis Press
SP  - 13
EP  - 19
SN  - 1951-6851
UR  - https://doi.org/10.2991/visio-13.2014.3
DO  - 10.2991/visio-13.2014.3
ID  - Fahn2013/12
ER  -