Name
Abstract | ||
|---|---|---|
We had designed the scene-segmented video information annotation system using video segmentation and information annotation. For video segmentation, the proposed system adapts the multiview deep convolution neural network. Segmented scenes are annotated by using the unsupervised sentence embedding model for closed captions. Both functionalities effectively work together with the web interface designed to tie not only our functionalities but also external content providers.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3240508.3241400 | MM '18: ACM Multimedia Conference
Seoul
Republic of Korea
October, 2018 |
Keywords | Field | DocType |
video segmentation, information annotation, deep learning | Computer vision,Closed captioning,Annotation,Embedding,Convolutional neural network,Computer science,Segmentation,Artificial intelligence,Deep learning,Sentence | Conference |
ISBN | Citations | PageRank |
978-1-4503-5665-7 | 1 | 0.38 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| alex lee | 1 | 15 | 3.11 |
| Chang-Uk Kwak | 2 | 2 | 1.54 |
| Jeong-Woo Son | 3 | 67 | 10.56 |
| Sun Joong Kim | 4 | 12 | 5.86 |