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Distributed compressed video sensing with multiple key frames
Author(s)
Date Issued
February 27, 2026
Type
Conference Paper
Abstract
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.
Citation
Proceedings of SPIE the International Society for Optical Engineering, 14072, 2026