… video analytics framework, which coordinates computationally weak cameras with more
powerful edge servers to enable video analytics … and exploits the redundancies in both spatial …

… redundancy). We observe how fast and dramatically surrounding environments change
would affect such temporal redundancy and the corresponding video analytics … suppression,” …

… redundant pixels on the edge before transferring the video to … λ1 is a positive number,
controlling the suppressing speed of … pixel value unchanged to be suppressed, while regions that …

… , which is to provide more redundant information by fusing multi-… score sorting and a
non-maximal suppression (NMS), and it … Moreover, we devise a more robust suppression method, …

… compression methods, we are dedicated to removing as many redundant regions in videos
as possible and only reserving the critical regions where the target is located to be inferred. It …

… -temporal pixel-level redundancy of video frames based on the … features to satisfy various
intelligent video analytics tasks, by using … To suppress the artifacts, the loop filter is applied for …

… tasks are performed, a large amount of redundant data is generated and unnecessary
computing resources are consumed. In general, it is assumed that the computing power of the …

… The data volume is affected by the application scenario, type of the video feed (eg frame
rate, resolution, and video format), and camera specifics (some suppress frames early for …

… processed, we can eliminate redundant frames, which results … a final step called Non-maximum
suppression (NMS) which … box for each object while suppressing any detected box when …

… surveillance settings: ingest rate in Mbps and storage size for a week of surveillance
videos. Here, Supp. denotes the typical average suppression rates achievable in each setting. …