.png){kind=icon}
Return
Distributed Compressed Video Sensing with Multiple Key Frames
.png){kind=icon}
PRE
AI
DOI：10.1117/12.3102546.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Distributed Compressed Video Sensing is a video compression method utilizing Compressed Sensing and Distributed Video Coding. With this method, compressed frames are reconstructed with information obtained by applying Convolutional Sparse Coding to a non-compressed frame. In this study, we aim to increase the reconstruction accuracy by selecting multiple non-compressed frames. In addition, we use symmetric convolution in order to solve a high computational optimization problem. The experimental results show our proposed method outperforms the conventional method.
Keywords:
Distributed Compressed Video Sensing
Convolutional Sparse Coding
Symmetric Convolution
Journal
I
IF:
0
Papers:
141
Citations:
0
Organization
Cited Papers
No cited papers available