scholarly journals Deep neural networks for single-pixel compressive video reconstruction

2020 ◽  
Author(s):  
Antonio Lorente Mur ◽  
Bruno Montcel ◽  
Françoise Peyrin ◽  
Nicolas Ducros
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Video Reconstruction ◽  
Single Pixel

scholarly journals Joint Subtitle Extraction and Frame Inpainting for Videos with Burned-In Subtitles

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 233
Author(s):  
Haoran Xu ◽  
Yanbai He ◽  
Xinya Li ◽  
Xiaoying Hu ◽  
Chuanyan Hao ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
High Precision ◽  
Deep Neural Networks ◽  
Learning Method ◽  
Video Content ◽  
Content Understanding ◽  
Video Inpainting ◽  
Video Frames ◽  
Video Reconstruction

Subtitles are crucial for video content understanding. However, a large amount of videos have only burned-in, hardcoded subtitles that prevent video re-editing, translation, etc. In this paper, we construct a deep-learning-based system for the inverse conversion of a burned-in subtitle video to a subtitle file and an inpainted video, by coupling three deep neural networks (CTPN, CRNN, and EdgeConnect). We evaluated the performance of the proposed method and found that the deep learning method achieved high-precision separation of the subtitles and video frames and significantly improved the video inpainting results compared to the existing methods. This research fills a gap in the application of deep learning to burned-in subtitle video reconstruction and is expected to be widely applied in the reconstruction and re-editing of videos with subtitles, advertisements, logos, and other occlusions.

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation

Representation of adversarial images in deep neural networks and the human brain

2018 ◽  
Author(s):  
Chi Zhang ◽  
Xiaohan Duan ◽  
Ruyuan Zhang ◽  
Li Tong
Keyword(s):  
Neural Networks ◽  
Human Brain ◽  
Deep Neural Networks

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks

2018 ◽  
Author(s):  
Daniel Povey ◽  
Gaofeng Cheng ◽  
Yiming Wang ◽  
Ke Li ◽  
Hainan Xu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Matrix Factorization ◽  
Deep Neural Networks ◽  
Low Rank ◽  
Rank Matrix ◽  
Low Rank Matrix
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