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.