Distributed compressed video sensing with multiple key frames

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dc.contributor.authorNomaguchi, Mizuki
dc.contributor.authorInoue, Ryota
dc.contributor.authorWoraratpanya, Kuntpong
dc.contributor.authorKuroki, Yoshimitsu
dc.date.accessioned2026-08-06T10:54:42Z
dc.date.available2026-08-06T10:54:42Z
dc.date.issued2026-02-27
dc.description.abstractDistributed 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.
dc.identifier.citationProceedings of SPIE the International Society for Optical Engineering, 14072, 2026
dc.identifier.doi10.1117/12.3102546
dc.identifier.issn0277786X
dc.identifier.other2-s2.0-105038674636
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/17898
dc.sourceProceedings of SPIE the International Society for Optical Engineering
dc.subjectConvolutional Sparse Coding
dc.subjectDistributed Compressed Video Sensing
dc.subjectSymmetric Convolution
dc.titleDistributed compressed video sensing with multiple key frames
dc.typeConference Paper

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