Visualization and visual analysis of multimedia data in manufacturing: A survey
With the development of production technology and social needs, sectors of manufacturing are constantly improving. The use of sensors and computers has made it increasingly convenient to collect multimedia data in manufacturing. Targeted, rapid, and detailed analysis based on the type of multimedia...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
|
| Series: | Visual Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468502X22000912 |
| _version_ | 1811216481561608192 |
|---|---|
| author | Yunchao Wang Zihao Zhu Lei Wang Guodao Sun Ronghua Liang |
| author_facet | Yunchao Wang Zihao Zhu Lei Wang Guodao Sun Ronghua Liang |
| author_sort | Yunchao Wang |
| collection | DOAJ |
| description | With the development of production technology and social needs, sectors of manufacturing are constantly improving. The use of sensors and computers has made it increasingly convenient to collect multimedia data in manufacturing. Targeted, rapid, and detailed analysis based on the type of multimedia data can make timely decisions at different stages of the entire manufacturing process. Visualization and visual analytics are frequently adopted in multimedia data analysis of manufacturing because of their powerful ability to understand, present, and analyze data intuitively and interactively. In this paper, we present a literature review of visualization and visual analytics specifically for manufacturing multimedia data. We classify existing research according to visualization techniques, interaction analysis methods, and application areas. We discuss the differences when visualization and visual analytics are applied to different types of multimedia data in the context of particular examples of manufacturing research projects. Finally, we summarize the existing challenges and prospective research directions. |
| first_indexed | 2024-04-12T06:39:49Z |
| format | Article |
| id | doaj.art-f5234003528b4886a3458180d8b95cd1 |
| institution | Directory Open Access Journal |
| issn | 2468-502X |
| language | English |
| last_indexed | 2024-04-12T06:39:49Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Visual Informatics |
| spelling | doaj.art-f5234003528b4886a3458180d8b95cd12022-12-22T03:43:45ZengElsevierVisual Informatics2468-502X2022-12-01641221Visualization and visual analysis of multimedia data in manufacturing: A surveyYunchao Wang0Zihao Zhu1Lei Wang2Guodao Sun3Ronghua Liang4College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, ChinaCorresponding author.; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, 310023, ChinaWith the development of production technology and social needs, sectors of manufacturing are constantly improving. The use of sensors and computers has made it increasingly convenient to collect multimedia data in manufacturing. Targeted, rapid, and detailed analysis based on the type of multimedia data can make timely decisions at different stages of the entire manufacturing process. Visualization and visual analytics are frequently adopted in multimedia data analysis of manufacturing because of their powerful ability to understand, present, and analyze data intuitively and interactively. In this paper, we present a literature review of visualization and visual analytics specifically for manufacturing multimedia data. We classify existing research according to visualization techniques, interaction analysis methods, and application areas. We discuss the differences when visualization and visual analytics are applied to different types of multimedia data in the context of particular examples of manufacturing research projects. Finally, we summarize the existing challenges and prospective research directions.http://www.sciencedirect.com/science/article/pii/S2468502X22000912VisualizationVisual analysisManufacturingMulti-media dataIndustry 4.0Digital twin |
| spellingShingle | Yunchao Wang Zihao Zhu Lei Wang Guodao Sun Ronghua Liang Visualization and visual analysis of multimedia data in manufacturing: A survey Visual Informatics Visualization Visual analysis Manufacturing Multi-media data Industry 4.0 Digital twin |
| title | Visualization and visual analysis of multimedia data in manufacturing: A survey |
| title_full | Visualization and visual analysis of multimedia data in manufacturing: A survey |
| title_fullStr | Visualization and visual analysis of multimedia data in manufacturing: A survey |
| title_full_unstemmed | Visualization and visual analysis of multimedia data in manufacturing: A survey |
| title_short | Visualization and visual analysis of multimedia data in manufacturing: A survey |
| title_sort | visualization and visual analysis of multimedia data in manufacturing a survey |
| topic | Visualization Visual analysis Manufacturing Multi-media data Industry 4.0 Digital twin |
| url | http://www.sciencedirect.com/science/article/pii/S2468502X22000912 |
| work_keys_str_mv | AT yunchaowang visualizationandvisualanalysisofmultimediadatainmanufacturingasurvey AT zihaozhu visualizationandvisualanalysisofmultimediadatainmanufacturingasurvey AT leiwang visualizationandvisualanalysisofmultimediadatainmanufacturingasurvey AT guodaosun visualizationandvisualanalysisofmultimediadatainmanufacturingasurvey AT ronghualiang visualizationandvisualanalysisofmultimediadatainmanufacturingasurvey |