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Conference Paper Scene-segmented Video Information Annotation System V2.0
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Authors
Alex Lee, Chang-Uk Kwak, Jeong-Woo Son, Gyeong-June Hahm, Min-Ho Han, Sun-Joong Kim
Issue Date
2020-10
Citation
International Conference on Multimedia (MM) 2020, pp.4506-4508
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3394171.3414396
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.