… latency, accuracy and scalability of video analytic pipelines. … the feature extractor while
Chameleon only focuses on object … is not in the scope of Chameleon. Furthermore, as shown in …

… Chameleon [19] adopts a video streaming adaptation by periodically profiling the beginning
part of each batch to output the configuration update. AWStream [20] uses a streaming …

… The profiling cost of Chameleon is even much higher than its … inference cost of Chameleon
for video analytics on VIRAT … Chameleon: scalable adaptation of video analytics." …

… This section provides an overview of video analytics before delving into the key
challenges … Scaling real-time, wide-area video analytics poses a challenge for bandwidth-limited, …

… Chameleon exceed slot frequently, which means Chameleon… Scalable object detection using
deep neural networks. In … based configuration adaptation for video analytics system in edge …

… a low-cost video analytics system analyzing multiple video streams … Compared to Chameleon,
the proposed algorithm finds … Meanwhile, Chameleon, which profiles limited configuration …

… The two approaches represent a tradeoff— the data-driven approach can better adapt to …
Chameleon [18] exploits content similarity across cameras to amortize query profiling costs, …

… Continuous learning has recently shown promising results for video analytics by adapting a
… fundamental limitations so that video analytics are scalable with more consistent accuracy. …

… live video analytics system based on the smart camera-edge cluster architecture, that is able
to adapt … systems such as VideoStorm [39], Chameleon [22] and NoScope [25] where video …

… 3) We design a scalable resource scheduler for joint … new classes, as well as adapt to the
changing characteristics of the … Chameleon exploits correlations in camera content to amortize …