scholarly journals HIERARCHICAL DATA MODEL FOR STORAGE AND INDEXING OF MASSIVE STREET VIEW

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1295-1299
Author(s):  
M. Du ◽  
J. Wang ◽  
C. Jing ◽  
J. Jiang ◽  
Q. Chen
Keyword(s):  
Data Model ◽  
Image Data ◽  
Urban Infrastructure ◽  
Hierarchical Data ◽  
Urban Management ◽  
Important Research ◽  
Multiple Cameras ◽  
Street View ◽  
Image Capturing ◽  
Real Test

<p><strong>Abstract.</strong> Maintaining an up-to-date inventory of urban infrastructure such as fire hydrant is critical to urban management. Street view database such as Google Street View and Baidu Street View contain street-level images, their potential for urban management has not been fully explored. For the massive image, data model for storage and indexing is an important research issue. Considering multiple cameras and GPS device in the image capturing platform, a hierarchical data model named 3D-Grid is proposed. Massive street view images were stored according to grid ID, GPS time and camera ID. An efficient time indexing algorithm is brought forth to replace the spatial indexing. Real test experiments are conducted in a project, and the validation and feasibility of 3D-Grid including time indexing algorithm were validated.</p>

Researches on the Object-Oriented Model of Distributed Image Database

2014 ◽  
Vol 543-547 ◽  
pp. 2184-2187
Author(s):  
Ping Zhang Gou ◽  
Yong Zhong Tang
Keyword(s):  
Comparative Analysis ◽  
Data Model ◽  
Object Oriented ◽  
Image Data ◽  
Image Database ◽  
Management Modes

Combined with the characteristics of the image data, this study contrasted four kinds of data model. Then it analyzed the three kinds of realization methods of image database, comparative analysis of management modes of the distributed image database finally.

Vector-Based Realisation of Geographical Voronoi Treemaps With the ArcGIS Engine

2021 ◽  
Vol 14 (1) ◽  
pp. 37-54
Author(s):  
Song Tian
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Hierarchical Data ◽  
Spatial Structures ◽  
Application Range ◽  
Arcgis Engine ◽  
Spatial Coordinates ◽  
Spatial Data Model

In geographical field, the researches on spatial hierarchies are extensive, but there is a lack of effective method to generate and express hierarchical spatial structures. As a frequently-used visualising method, Voronoi Treemaps are able to represent hierarchical data, but limited to displaying non-spatial data. The approach of geographical Voronoi Treemaps is proposed to solve these problems by allowing for spatial division from point features with spatial coordinates and references. Additionally, this enables to create hierarchical layouts in the form of Voronoi Treemap in GIS environments with the ArcGIS Engine. The generated layouts are saved in a geodatabase, which is convenient for adding GIS enhancements such as colouring, edge sizes, legends, borders, scales, and compass. The approach aims to establish a kind of spatial data model to represent urban hierarchies, organisation structures and region differences and so on, which expands the application range of Voronoi Treemaps in the geographical field.

Past, Present and Future Population Growth and Urban Management in Zimbabwe

2018 ◽  
pp. 1197-1214
Author(s):  
Innocent Chirisa ◽  
Aaron Maphosa ◽  
Lazarus Zanamwe ◽  
Elmond Bandauko ◽  
Liaison Mukarwi
Keyword(s):  
Population Growth ◽  
Growth Rates ◽  
Urban Population ◽  
Urban Infrastructure ◽  
Natural Increase ◽  
Urban Migration ◽  
Urban Management ◽  
Population Growth Rates ◽  
Secondary Sources ◽  
Urban Population Growth

The central focus of this chapter is to analyse the urban population growth–urban management nexus in Zimbabwean cities. These cities are registering rapid population growth rates, due mainly to massive rural to urban migration and natural increase. Ideally, rapid urban population growth rates should be proportionate to urban infrastructure, facilities and services. This is not in the case in Zimbabwean cities, where the development of informal settlements, rising urban poverty, dilapidated urban infrastructure and other urban developmental challenges are rampant. Drawing from Malthusian theory, the current conditions in Zimbabwean cities represents that stage where the positive and negative checks are expected. In putting together this chapter, we used archival sources such as newspapers, government reports and other secondary sources. We conclude that planning initiatives and population control measures need to be used in Zimbabwean cities to address inefficiency and urban management challenges, which may be compromising urban sustainability. This study provides evidence-based information that urban local authorities may use to formulate policies to manage urban problems.

scholarly journals Autonomous garbage detection for intelligent urban management

2018 ◽  
Vol 232 ◽  
pp. 01056 ◽  
Author(s):  
Ying Wang ◽  
Xu Zhang
Keyword(s):  
Smart City ◽  
Learning Strategy ◽  
Monitoring And Evaluation ◽  
Urban Management ◽  
Environment Monitoring ◽  
Important Research ◽  
Detection Function ◽  
Important Research Topic ◽  
Open Source Framework ◽  
Augmentation Strategy

With the development of smart city in major cities at home and abroad, especially the management of smart city, how to improve the intelligence level of urban environment monitoring and evaluation has become an important research topic. It is of great value to rapidly and accurately detect garbage from urban images in the application of intelligent urban management. This paper aims to adopt a deep learning strategy for automatic garbage detection. By training a Faster R-CNN open source framework with region proposal network and ResNet network algorithm, we look over garbage detection results on garbage images. In addition, to improve the accuracy of the method, a data fusion and augmentation strategy is proposed. As a result, experiments show that the method has favorable generalization ability and high-precision detection function.

scholarly journals Retrieval Architecture with Classified Query for Content Based Image Recognition

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Rik Das ◽  
Sudeep Thepade ◽  
Subhajit Bhattacharya ◽  
Saurav Ghosh
Keyword(s):  
Image Recognition ◽  
State Of The Art ◽  
Statistical Significance ◽  
Image Data ◽  
Performance Measure ◽  
Smart Phones ◽  
Image Binarization ◽  
Steady Growth ◽  
Image Capturing ◽  
Public Datasets

The consumer behavior has been observed to be largely influenced by image data with increasing familiarity of smart phones and World Wide Web. Traditional technique of browsing through product varieties in the Internet with text keywords has been gradually replaced by the easy accessible image data. The importance of image data has portrayed a steady growth in application orientation for business domain with the advent of different image capturing devices and social media. The paper has described a methodology of feature extraction by image binarization technique for enhancing identification and retrieval of information using content based image recognition. The proposed algorithm was tested on two public datasets, namely, Wang dataset and Oliva and Torralba (OT-Scene) dataset with 3688 images on the whole. It has outclassed the state-of-the-art techniques in performance measure and has shown statistical significance.

Sign in / Sign up

Export Citation Format

Share Document