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Found 3 papers, 1 papers with code
Summarization of User-Generated Sports Video by Using Deep Action Recognition Features
The labels are provided by annotators possessing different experience with respect to Kendo to demonstrate how the proposed method adapts to different needs.
Video Summarization using Deep Semantic Features
For this, we design a deep neural network that maps videos as well as descriptions to a common semantic space and jointly trained it with associated pairs of videos and descriptions.
Learning Joint Representations of Videos and Sentences with Web Image Search
In description generation, the performance level is comparable to the current state-of-the-art, although our embeddings were trained for the retrieval tasks.
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