Paper Info
Title
Movement-Oriented Objectified Organization and Retrieval Approach for Heterogeneous GeoVideo Data.
Abstract
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.
Year
DOI
Venue
2018
10.3390/ijgi7070255
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
GeoVideo data,movement process,database organization,multi-modal retrieval
Query language,Software deployment,Associative property,Information retrieval,Computer science,Storage management,Wireless sensor network,Spatialization
Journal
Volume
Issue
ISSN
7
7
2220-9964
Citations 
PageRank 
References 
0
0.34
14
Authors
8
Name
Order
Citations
PageRank
Chen Wu124.77
Qing Zhu214631.03
Yeting Zhang3378.36
Xiao Xie432.44
Han Qin581.84
Y. Zhou616337.69
Pengcheng Zhang785.61
Weijun Yang895.04