DDLVis: Real-time Visual Query of Spatiotemporal Data Distribution via Density Dictionary Learning
| العنوان: | DDLVis: Real-time Visual Query of Spatiotemporal Data Distribution via Density Dictionary Learning |
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| المؤلفون: | Changbo Wang, Yunzhe Wang, George Baciu, Chenhui Li, Junjie Chen |
| المصدر: | IEEE Transactions on Visualization and Computer Graphics. 28:1062-1072 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Visual analytics, Distribution (number theory), Computer science, Kernel density estimation, Function (mathematics), computer.software_genre, Computer Graphics and Computer-Aided Design, Component (UML), Signal Processing, Visual query, Computer Vision and Pattern Recognition, Data mining, Dictionary learning, computer, Computer Science::Databases, Software |
| الوصف: | Visual query of spatiotemporal data is becoming an increasingly important function in visual analytics applications. Various works have been presented for querying large spatiotemporal data in real time. However, the real-time query of spatiotemporal data distribution is still an open challenge. As spatiotemporal data become larger, methods of aggregation, storage and querying become critical. We propose a new visual query system that creates a low-memory storage component and provides real-time visual interactions of spatiotemporal data. We first present a peak-based kernel density estimation method to produce the data distribution for the spatiotemporal data. Then a novel density dictionary learning approach is proposed to compress temporal density maps and accelerate the query calculation. Moreover, various intuitive query interactions are presented to interactively gain patterns. The experimental results obtained on three datasets demonstrate that the presented system offers an effective query for visual analytics of spatiotemporal data. |
| تدمد: | 2160-9306 1077-2626 |
| DOI: | 10.1109/tvcg.2021.3114762 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ca501fe68235a09fcbe40fc312edbe4 https://doi.org/10.1109/tvcg.2021.3114762 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....0ca501fe68235a09fcbe40fc312edbe4 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21609306 10772626 |
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| DOI: | 10.1109/tvcg.2021.3114762 |