视频的自适应时域压缩感知
Adaptive Temporal Compressive Sensing for Video
摘要：
本文介绍了视频自适应时域压缩感知的概念。我们提出了一种CS算法，以适应压缩比的基础上，从压缩数据计算场景的时间复杂度，而不影响重建视频的质量。通过操纵相机的积分时间来表现时间自适应性，从而为实时实现提供了可能性。所提出的算法是一个广义的时间CS方法，可以与现有的硬件系统的不同集合。
英文摘要：
This paper introduces the concept of adaptive temporal compressive sensing (CS) for video. We propose a CS algorithm to adapt the compression ratio based on the scene's temporal complexity, computed from the compressed data, without compromising the quality of the reconstructed video. The temporal adaptivity is manifested by manipulating the integration time of the camera, opening the possibility to real-time implementation. The proposed algorithm is a generalized temporal CS approach that can be incorporated with a diverse set of existing hardware systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
