Video compression approach for apron surveillance in bad weather

Zonglei Lu; Xianhong Xu

doi:10.1117/12.2577064

12 October 2020 Video compression approach for apron surveillance in bad weather

Zonglei Lu, Xianhong Xu

Proceedings Volume 11574, International Symposium on Artificial Intelligence and Robotics 2020; 115740A (2020) https://doi.org/10.1117/12.2577064
Event: International Symposium on Artificial Intelligence and Robotics (ISAIR), 2020, Kitakyushu, Japan

Abstract

Surveillance occupies an important position in intelligent airport development. However, surveillance video storage puts much pressure on the airport. Apron surveillance video is a common type of airport surveillance video. In this paper, we propose a video compression approach for apron surveillance in bad weather. In this approach, the video storage structure has changed and is divided into three layers: a static layer, an object layer and an environment layer. Such a storage structure can reduce the video storage space. The approach also stores semantic information that can be used in subsequent research. To validate our approach, we conduct experiments on different apron surveillance videos. Experimental results show that the proposed approach can outperform the widely used video coding standards H.264 and MPEG-4 in terms of the SSIM index and PSNR.

Citation Download Citation

Zonglei Lu and Xianhong Xu "Video compression approach for apron surveillance in bad weather", Proc. SPIE 11574, International Symposium on Artificial Intelligence and Robotics 2020, 115740A (12 October 2020); https://doi.org/10.1117/12.2577064

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KEYWORDS

Video surveillance

Video

Video compression

Surveillance

Air contamination

Video coding

Video processing

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