Deep-learning based affective video analysis and synthesis
The major challenge in computational creativity within the context of audio-visual analysis, is the difficulty in extracting high quality content from large quantities of video footage. Current development focuses on using submodular optimization of frame-based quality-aware relevance model to creat...
Saved in:
Main Author: | Tan, Christopher Say Wei |
---|---|
Other Authors: | Yu Han |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/144505 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Deep learning for video segmentation
by: Tan, Clement Xian Ren
Published: (2019) -
Deep learning-based video forgery detection
by: Cao, Xinyi
Published: (2022) -
Deep learning for image and video understanding
by: Yue, Kunlun
Published: (2020) -
Image and video generation via deep learning
by: Jiang, Liming
Published: (2023) -
Deep learning-based automatic document categorization and organization
by: Foo, Shawn Nicholas Say Yan
Published: (2021)