Distributed compressed video sensing with multiple key frames

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dc.contributor.authorMizuki Nomaguchi
dc.contributor.authorRyota Inoue
dc.contributor.authorKuntpong Woraratpanya
dc.contributor.authorYoshimitsu Kuroki
dc.date.accessioned2026-05-08T19:26:29Z
dc.date.issued2026-2-27
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.doi10.1117/12.3102546
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/20615
dc.subjectSparse and Compressive Sensing Techniques
dc.subjectDistributed Sensor Networks and Detection Algorithms
dc.subjectEnergy Efficient Wireless Sensor Networks
dc.titleDistributed compressed video sensing with multiple key frames
dc.typeArticle

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