Adaptive-rate block compressive sensing for monitoring video

Shengling Deng

doi:10.1117/12.3031020

19 July 2024 Adaptive-rate block compressive sensing for monitoring video

Shengling Deng

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131813U (2024) https://doi.org/10.1117/12.3031020
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

To solve the problem that the data volume of the monitoring video is large, and the bandwidth requirement for the transmission of this data is high, an adaptive-rate block compressive sensing scheme is proposed in this paper. The sparsity of image blocks in the target video frame is estimated firstly by observing the initial measurements with a fixed low sampling rate, and then the number of measurements can be determined for the current block based on the estimation result, the supplementary measurement is performed to obtain the final sampling results. The simulation results show that the proposed algorithm can effectively improve the quality of the reconstructed video without significantly increasing the computational complexity.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shengling Deng "Adaptive-rate block compressive sensing for monitoring video", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131813U (19 July 2024); https://doi.org/10.1117/12.3031020

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KEYWORDS

Video

Compressed sensing

Sampling rates

Video compression

Matrices

Reconstruction algorithms

Detection theory

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