… huge number of video frames in the large-scale video streams also poses a great challenge
to NN. In response, we propose a filtering system … each video stream, filtering out the video …

… frames to be accurately analyzed by the final full-feature NN model. To efficiently employ these
… to achieve largescale high-resolution video analytics, we propose FFS-VA, a fast filtering …

… filtering approach that is parsimonious with limited bandwidth. We present FilterForward (FF),
a system … and datacenter-centric approaches to wide-area video processing. Using edge-…

… scripts that mimic common queries to a video surveillance system. The complete data
flow and … Further, for car re-identification, we first filter by vehicle type, and then use re-identification …

… ) the number of person detections processed by a particular filtering scheme (eg 22,490).
Observe that applying spatio-temporal filtering results in significant resource savings and much …

… on-camera filtering into video analytics pipelines in a way that achieves most of the
potential filtering benefits without violating accuracy goals? Due to the aforementioned filtering …

… Vaas, a video analytics system for largescale datasets. Vaas … workflows for solving a video
analytics task. Users express … low-precision, high-recall filter. Initially, rather than apply the …

… Video Analytics based on edge computing is the only feasible approach to cater low latency
requirement for large-scale video … have filtered streams which fall under the filtering criteria. …

… large-scale neural networks training and inference. However, live video analytics in large
scale … of single-video analytics with frame sampling or CNN-based filters for discarding frames. …

… The schemes that have larger demand size than the video encoded using h.264 are filtered
and will not be considered during scheduling. Due to page limitation, we only introduce our …