Name
Abstract | ||
|---|---|---|
We have built the scene-segmented video information annotation system and upgraded it to version 2.0. The system imports the video by user selection and splits into the scene units. Each scene clips are annotated by the integration of visual features derived by state-of-the-art deep learning techniques. The proposed system uses the multiview deep convolutional neural network for video segmentation and a supervised movie caption model for video annotation. Each functionality has been installed in two different sub-systems and connected through the web interface. The web interface allows connecting to external content providers in order to expand the capability of the system.
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Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3394171.3414396 | MM '20: The 28th ACM International Conference on Multimedia
Seattle
WA
USA
October, 2020 |
DocType | ISBN | Citations |
Conference | 978-1-4503-7988-5 | 0 |
PageRank | References | Authors |
0.34 | 7 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| alex lee | 1 | 15 | 3.11 |
| Chang-Uk Kwak | 2 | 2 | 1.54 |
| Jeong-Woo Son | 3 | 67 | 10.56 |
| Gyeong June Hahm | 4 | 20 | 2.85 |
| Min-Ho Han | 5 | 0 | 0.34 |
| Sun Joong Kim | 6 | 12 | 5.86 |