A Review of Indoor-Outdoor Scene Classification

DOI

10.2991/caai-17.2017.106How to use a DOI?

Keywords

indoor-outdoor; scene classification; computer vi-sion

Abstract

Indoor-Outdoor scene classification problem have been proposed for almost 20 years and widely applied to general scene classification, image retrieval, image processing and robot application. But there is no consensus on one particular scene classification technique that can solve the Indoor-Outdoor scene classification problem perfectly. As larger image dataset has been developed and machine learning technology especially deep learning based methods achieve remarkable performance in computer vision, we aim to provide guidance and direction for researchers to tackle the Indoor-Outdoor scene classification problem with more powerful and robust solution through concluding the Indoor-Outdoor scene classification approaches which have been proposed in last 20 years. In this paper, we review the Indoor-Outdoor scene classification including feature extraction, classifier and related dataset. Their advantages and disadvantages are discussed. At last we conclude some chal-lenging problems remain unsolved and propose some potential solutions.

Copyright

© 2017, 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  - Zhehang Tong
AU  - Dianxi Shi
AU  - Bingzheng Yan
AU  - Jing Wei
PY  - 2017/06
DA  - 2017/06
TI  - A Review of Indoor-Outdoor Scene Classification
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 469
EP  - 474
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.106
DO  - 10.2991/caai-17.2017.106
ID  - Tong2017/06
ER  -