Integrated inter-frame difference detection for fixed-scene video compression and reconstruction
In recent years,the widespread deployment of high-definition and ultra-high-definition surveillance cameras has led to a significant increase in the volume of fixed-scene video data,such as surveillance videos. This sharp rise in data has imposed tremendous pressure on video storage and transmission. To further eliminate redundancy in fixed-scene videos,this paper proposes a novel compression and reconstruction method. By employing background extraction and an inter-frame foreground difference detection-based foreground extraction and compression approach,a substantial amount of data redundancy is removed from the videos. Experimental results show that,compared to MPEG-4,the proposed method achieves higher video reconstruction performance at a higher compression ratio. Compared to H.264,H.265,and DCVC-DC,the proposed method improves compression performance by 82.75％,76.19％,and 59.56％ respectively,while maintaining a high level of video reconstruction quality. This effectively alleviates the storage and transmission pressure of fixed-scene videos.
万方数据
维普
