Semantic Description and Information Retrieval Research of Surveillance Video in Smart Transportation System

DOI

10.2991/icectt-15.2015.46How to use a DOI?

Keywords

Smart Transportation System, Semantic Description, Information Retrieval

Abstract

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.

Copyright

© 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/).

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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  -