Collyda, Chrysa
Apostolidis, Konstantinos
Apostolidis, Evlampios
Adamantidou, Eleni
Metsai, Alexandros
Mezaris, Vasileios
2020-06-17
<p>This paper presents a Web service that supports the automatic generation of video summaries for user-submitted videos. The developed Web application decomposes the video into segments, evaluates the fitness of each segment to be included in the video summary and selects appropriate segments until a pre-defined time budget is filled. The integrated deep-learning-based video analysis and summarization technologies exhibit state-of-the-art performance and, by exploiting the processing capabilities of modern GPUs, offer faster than real-time processing. Configurations for generating video summaries that fulfill the specifications for posting on the most common video sharing platforms and social networks are available in the user interface of this application, enabling the one-click generation of distribution-channel-specific summaries.</p>
https://doi.org/10.1145/3391614.3399391
oai:zenodo.org:4094586
Zenodo
https://zenodo.org/communities/retv-h2020
https://zenodo.org/communities/eu
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
IMX 2020, ACM Int. Conf. on Interactive Media Experiences, June 2020
Video summarization
Deep learning
Generative adversarial networks
Web service
Social networks
Video sharing platforms
A Web Service for Video Summarization
info:eu-repo/semantics/conferencePaper