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In the example, 3 clusters can be identified: "Cluster X-1" and "Cluster X-2" that although describing the same concept "X" are located in different instants of the video; "Cluster Y-1" describing another concept.
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We present a novel video clustering algorithm that exploits this property to match faces and efficiently propagate face labels across the scope of viewpoints, scale and level of zoom characterizing different frames and shots of a video.
Since then, however, its video-response feature, which essentially allows users to converse through video, has managed to convene partisans of almost every field of human endeavor, creating video clusters that begin with an opening video, and snowball as fans and detractors are moved to respond with videos of their own.
b Video clusters.
Video clusters with more than 50 videos are reported.
Many video clusters have a single major peak.
Different video clusters are shown in different colors.
Such video clusters do not bring extra information for model alignment tasks.
The smaller bandwidth parameter d used in the mean shift clustering algorithm prefers more tightly coupled video clusters.
In order to put a load on the video streaming cluster a consumer virtual machine is instantiated in the availability zone "us-west-1".
A special configuration would deploy a second or third video streaming cluster just consisting of one origin server in hot standby mode.
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