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Automatic sports video summarization poses the challenge of acquiring semantics of the original video, and existing work leverages various knowledge in application domains, e.g., structure of games and editing conventions. In this paper, we propose a personal sports video summarization method for self-recorded RGB-D videos, which became available to the public due to the commodification of off-the-shelf...
Human action recognition applications are greatly benefited from the use of commodity depth sensors that are capable of skeleton tracking. Some of these applications (e.g., customizable gesture interfaces) require learning of new actions at runtime and may not count with many training instances. This paper presents a human action recognition method designed for flexibility, which allows taking users’...
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