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For object identification, your model will recognize a specific instance of an object � for example, parsing two faces in an image and tagging.
Video analytics seems to be the only technology that can solve the problem of the subscriber's outgoing channel, as well as the problem of storing video in the cloud. Despite the advent of cost-effective ways of storing video, storing large video volumes in the cloud is the most expensive component of the VSaaS service. Video analytics can be considered as a specialized encoder, which leaves in the video only the data that the user needs. A universal encoder, such as H.264, �does not understand� the importance of each element in the image and, therefore, cannot effectively filter redundant data to provide VSaaS services. For example, a standard encoder cannot distinguish a small person in the background and numerous raindrops in the foreground. If a person and each droplet are encoded with the same detail, the flow will be substantially redundant for transmission and storage.