{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T08:59:55Z","timestamp":1767085195625,"version":"build-2065373602"},"reference-count":46,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Project of Natural Science Research of Anhui Provincial Department of Education","award":["2023AH051592","2023AH051633","2023qd05","STIEIC-KF202302"],"award-info":[{"award-number":["2023AH051592","2023AH051633","2023qd05","STIEIC-KF202302"]}]},{"name":"research project of Chuzhou University","award":["2023AH051592","2023AH051633","2023qd05","STIEIC-KF202302"],"award-info":[{"award-number":["2023AH051592","2023AH051633","2023qd05","STIEIC-KF202302"]}]},{"name":"Open Project of Technology Innovation Center for Spatio-temporal Information and Equipment of Intelligent City","award":["2023AH051592","2023AH051633","2023qd05","STIEIC-KF202302"],"award-info":[{"award-number":["2023AH051592","2023AH051633","2023qd05","STIEIC-KF202302"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/ijgi13120463","type":"journal-article","created":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T04:07:40Z","timestamp":1734667660000},"page":"463","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Parallel-Optimized Visualization Method for Large-Scale Multiple Video-Augmented Geographic Scenes on Cesium"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9541-0290","authenticated-orcid":false,"given":"Qingxiang","family":"Chen","sequence":"first","affiliation":[{"name":"School of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, China"},{"name":"Technology Innovation Center for Spatio-Temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, Chongqing 401120, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8067-0201","authenticated-orcid":false,"given":"Jing","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2664-9479","authenticated-orcid":false,"given":"Kaimin","family":"Sun","sequence":"additional","affiliation":[{"name":"Technology Innovation Center for Spatio-Temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, Chongqing 401120, China"},{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minmin","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guang","family":"Chen","sequence":"additional","affiliation":[{"name":"Technology Innovation Center for Spatio-Temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, Chongqing 401120, China"},{"name":"Chongqing Academy of Surveying and Mapping, Chongqing 401121, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Liu","sequence":"additional","affiliation":[{"name":"Technology Innovation Center for Spatio-Temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, Chongqing 401120, China"},{"name":"Chongqing Academy of Surveying and Mapping, Chongqing 401121, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Myagmar-Ochir, Y., and Kim, W. 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