Treffer: Adaptive rate compression for distributed video sensing in wireless visual sensor networks.

Distributed compressive video sensing (DCVS) for wireless visual sensor networks faces challenges due to computational limitations and bandwidth constraints. This paper presents a rate-adaptive DCVS scheme that dynamically allocates measurements based on temporal correlation and sparsity estimation. By skipping highly correlated blocks and adaptively sampling others, the proposed method achieves improved rate-distortion performance with reduced sampling complexity and transmission burden. Experimental results demonstrate substantial gains over state-of-the-art methods, especially for videos with low motion speeds. Codes and data are available at https://github.com/SongHere/USE_DCVS. [ABSTRACT FROM AUTHOR]