Help me retouch the following paragraphs with academic styleThank you very much for your insightful comments These comments are valuable and very helpful for improving our manuscript As we mentioned e

We express our sincere gratitude for the insightful comments provided by the reviewer. These comments have proved to be invaluable in enhancing the quality of our manuscript. It is crucial to note that the utilization of surveillance video has numerous applications, including but not limited to gas leakage detection in industry, video compression coding, and inpainting. Object detection, which is based on surveillance video, is just one of the applications. It is imperative to clarify that the primary task of the model is to extract the background from the surveillance video, rather than detecting objects in each video frame. This clarification was not explicitly stated in the previous manuscript, and as such, we have included a detailed description of the model's task in the revised manuscript to aid readers' comprehension.

The Coco dataset, which is an acronym for Microsoft Common Objects in Context, originated from the Microsoft COCO dataset annotated by Microsoft in 2014. It is a pivotal evaluation dataset for large object detection, semantic segmentation, and key point detection. However, it is important to note that this dataset does not align with the focus of our paper, which is to reconstruct the background from video. It is not feasible to reconstruct the background from an image that contains an object