Semantic Description and Information Retrieval Research of Surveillance Video in Smart Transportation System
- 10.2991/icectt-15.2015.46How to use a DOI?
- Smart Transportation System, Semantic Description, Information Retrieval
It is a hotspot to retrieve the desired information or find specific target inside the mass traffic video information. To achieve video content, it is necessary to build up a bridge between the low-level visual information and the high-level semantics. In this paper, firstly we propose a framework of intelligent traffic information semantic description. And then the semantic description framework of intelligent traffic information based on the standard of MPEG-7 is brought out. The framework can describe the multi-layer video information from the underlying visual features to the high-level semantic features, it can make up the gap of semantic and ultimately facilitate the users to retrieve mass video information. Finally, the accuracy and rapidity of the retrieval is demonstrated by the example of a traffic video semantic description and retrieval. It greatly reduces the working intensity of video processing workers because this method can handle most cases rapidly.
- © 2015, 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/).
Cite this article
TY - CONF AU - Boxiong Yang AU - Jing Huang AU - Yuqi Yang PY - 2015/11 DA - 2015/11 TI - Semantic Description and Information Retrieval Research of Surveillance Video in Smart Transportation System BT - Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation PB - Atlantis Press SP - 238 EP - 244 SN - 2352-5401 UR - https://doi.org/10.2991/icectt-15.2015.46 DO - 10.2991/icectt-15.2015.46 ID - Yang2015/11 ER -