Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data
With the wide deployment of the video sensor network and the rapid development of video spatialization technology, the large volume of complex GeoVideo data necessitates improvements in the application efficiency of the GeoVideo database and GeoVideo surveillance system. Traditional storage manageme...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-06-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | http://www.mdpi.com/2220-9964/7/7/255 |
id |
doaj-c57f67bccdeb42378938dac1214bb2ef |
---|---|
record_format |
Article |
spelling |
doaj-c57f67bccdeb42378938dac1214bb2ef2020-11-24T22:08:11ZengMDPI AGISPRS International Journal of Geo-Information2220-99642018-06-017725510.3390/ijgi7070255ijgi7070255Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo DataChen Wu0Qing Zhu1Yeting Zhang2Xiao Xie3Han Qin4Yan Zhou5Pengcheng Zhang6Weijun Yang7National Engineering Research Center for E-Learning, Central China Normal University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, ChinaLaboratory for Environment Computation & Sustainability of Liaoning Province, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, ChinaDepartment of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USASchool of Resource and Environment, University of Electric Science and Technology, Chengdu 611731, ChinaGuangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, ChinaGuangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, ChinaWith the wide deployment of the video sensor network and the rapid development of video spatialization technology, the large volume of complex GeoVideo data necessitates improvements in the application efficiency of the GeoVideo database and GeoVideo surveillance system. Traditional storage management approaches focus on the optimization of access to the GeoVideo stream. However, they suffer from poor management of the diverse movement processes contained within it; for example, they cannot support associative queries or comprehensive analysis of multi-type GeoVideo data in complex geographic environments. This paper takes physical movement process in GeoVideo as a new type of object and carries out an objectified organization of the heterogeneous GeoVideo data around it (including the video stream, spatial references, interpretations of the video data, and the overall scene) in a Not only SQL-Structured Query Language (NoSQL-SQL) hybrid GeoVideo database. This paper systematically explores the hybrid spatiotemporal indexes and multi-modal retrieval methods around movement processes, which enrich the query modes of the GeoVideo data. A prototype implementation and experimental analysis are presented to prove the feasibility and effectiveness of this organization and retrieval approach.http://www.mdpi.com/2220-9964/7/7/255GeoVideo datamovement processdatabase organizationmulti-modal retrieval |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chen Wu Qing Zhu Yeting Zhang Xiao Xie Han Qin Yan Zhou Pengcheng Zhang Weijun Yang |
spellingShingle |
Chen Wu Qing Zhu Yeting Zhang Xiao Xie Han Qin Yan Zhou Pengcheng Zhang Weijun Yang Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data ISPRS International Journal of Geo-Information GeoVideo data movement process database organization multi-modal retrieval |
author_facet |
Chen Wu Qing Zhu Yeting Zhang Xiao Xie Han Qin Yan Zhou Pengcheng Zhang Weijun Yang |
author_sort |
Chen Wu |
title |
Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data |
title_short |
Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data |
title_full |
Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data |
title_fullStr |
Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data |
title_full_unstemmed |
Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data |
title_sort |
movement-oriented objectified organization and retrieval approach for heterogeneous geovideo data |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2018-06-01 |
description |
With the wide deployment of the video sensor network and the rapid development of video spatialization technology, the large volume of complex GeoVideo data necessitates improvements in the application efficiency of the GeoVideo database and GeoVideo surveillance system. Traditional storage management approaches focus on the optimization of access to the GeoVideo stream. However, they suffer from poor management of the diverse movement processes contained within it; for example, they cannot support associative queries or comprehensive analysis of multi-type GeoVideo data in complex geographic environments. This paper takes physical movement process in GeoVideo as a new type of object and carries out an objectified organization of the heterogeneous GeoVideo data around it (including the video stream, spatial references, interpretations of the video data, and the overall scene) in a Not only SQL-Structured Query Language (NoSQL-SQL) hybrid GeoVideo database. This paper systematically explores the hybrid spatiotemporal indexes and multi-modal retrieval methods around movement processes, which enrich the query modes of the GeoVideo data. A prototype implementation and experimental analysis are presented to prove the feasibility and effectiveness of this organization and retrieval approach. |
topic |
GeoVideo data movement process database organization multi-modal retrieval |
url |
http://www.mdpi.com/2220-9964/7/7/255 |
work_keys_str_mv |
AT chenwu movementorientedobjectifiedorganizationandretrievalapproachforheterogeneousgeovideodata AT qingzhu movementorientedobjectifiedorganizationandretrievalapproachforheterogeneousgeovideodata AT yetingzhang movementorientedobjectifiedorganizationandretrievalapproachforheterogeneousgeovideodata AT xiaoxie movementorientedobjectifiedorganizationandretrievalapproachforheterogeneousgeovideodata AT hanqin movementorientedobjectifiedorganizationandretrievalapproachforheterogeneousgeovideodata AT yanzhou movementorientedobjectifiedorganizationandretrievalapproachforheterogeneousgeovideodata AT pengchengzhang movementorientedobjectifiedorganizationandretrievalapproachforheterogeneousgeovideodata AT weijunyang movementorientedobjectifiedorganizationandretrievalapproachforheterogeneousgeovideodata |
_version_ |
1725817297280434176 |