A Parallel-Optimized Visualization Method for Large-Scale Multiple Video-Augmented Geographic Scenes on Cesium Article Swipe
YOU?
·
· 2024
· Open Access
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· DOI: https://doi.org/10.3390/ijgi13120463
Surveillance video has emerged as a crucial data source for web Geographic Information Systems (GIS), playing a vital role in traffic management, facility monitoring, and anti-terrorism inspections. However, previous methods encountered significant challenges in achieving effective large-scale multi-video overlapping visualization and efficiency, particularly when organizing and visualizing large-scale video-augmented geographic scenes. Therefore, we propose a parallel-optimized visualization method specifically for large-scale multi-video augmented geographic scenes on Cesium. Firstly, our method employs an improved octree-based model for the unified management of large-scale overlapping videos. Then, we introduce a novel scheduling algorithm based on Cesium, which leverages a Web Graphics Library (WebGL) parallel-optimized and dynamic Level-of-Detail (LOD) strategy. This algorithm is designed to enhance the visualization effects and efficiency of large-scale video-integrated geographic scenes. Finally, we perform comparative experiments to demonstrate that our proposed method significantly optimizes the visualization of video overlapping areas and achieves a rendering efficiency increase of up to 95%. Our method can provide a solid technical foundation for large-scale surveillance video scene management and multi-video joint monitoring.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijgi13120463
- https://www.mdpi.com/2220-9964/13/12/463/pdf?version=1734685504
- OA Status
- gold
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405646732
Raw OpenAlex JSON
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https://openalex.org/W4405646732Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/ijgi13120463Digital Object Identifier
- Title
-
A Parallel-Optimized Visualization Method for Large-Scale Multiple Video-Augmented Geographic Scenes on CesiumWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-12-20Full publication date if available
- Authors
-
Qiyong Chen, Jing Chen, Kaimin Sun, Minmin Huang, Guang Chen, Hao LiuList of authors in order
- Landing page
-
https://doi.org/10.3390/ijgi13120463Publisher landing page
- PDF URL
-
https://www.mdpi.com/2220-9964/13/12/463/pdf?version=1734685504Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2220-9964/13/12/463/pdf?version=1734685504Direct OA link when available
- Concepts
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Computer science, Visualization, Rendering (computer graphics), Scale (ratio), Computer vision, Computer graphics (images), Artificial intelligence, Geography, CartographyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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