Facilitating the Production of Well-tailored Video Summaries for Sharing on Social Media
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Abstract (arXiv)
This paper presents a web-based tool that facilitates the production of tailored summaries for online sharing on social media. Through an interactive user interface, it supports a ``one-click'' video summarization process. Based on the integrated AI models for video summarization and aspect ratio transformation, it facilitates the generation of multiple summaries of a full-length video according to the needs of target platforms with regard to the video's length and aspect ratio.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 26 references that are in the map. First posted on arXiv 5 Dec 2023.
Builds on
7 of 26 references.
References · 7
- 2020TransNet V2: An effective deep network architecture for fast shot transition detectioncited by 166
- 2021Video Summarization Using Deep Neural Networks: A Surveycited by 85
- 2018Video Summarization Using Fully Convolutional Sequence Networkscited by 71
- 2021Reconstructive Sequence-Graph Network for Video Summarizationcited by 34
- 2020Exploring global diverse attention via pairwise temporal relation for video summarizationcited by 29
- 2021Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Netcited by 22
- 2023TinyHD: Efficient Video Saliency Prediction with Heterogeneous Decoders using Hierarchical Maps Distillationcited by 8
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Citing papers per year: 2024: 1.
1 paper.