Content Wizard: demo of a trans-vector digital video publication tool
Authors: 
Lyndon J B Nixon, Konstantinos Apostolidis, 
Evlampios Apostolidis, Damianos Galanopoulos, Vasileios Mezaris, Basil Philipp, Rasa BocyteAuthors Info & Claims
Pages 296 - 298
Abstract
In order to optimise the distribution of video assets online, media organizations need tailor their offerings for specific digital channels and better understand the interests of their audiences at particular points in time, which are often influenced by contemporary new stories and trends on social media. For this purpose, the research project ReTV has developed a Web-based tool termed ’Content Wizard’ which demonstrates an end-to-end, semi-automated workflow for video content creation, adaptation and distribution across digital channels. Digital assets can be selected based on predicted future trending topics, re-purposed according to the different digital channels they will be published upon and scheduled for the optimal future publication date. The result is an innovative video publication workflow that meets the marketing needs of media organisations in this age of transient online media spread across multiple channels.
References
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E. Apostolidis, E. Adamantidou, A. I. Metsai, V. Mezaris, and I. Patras. 2020. AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization. IEEE Transactions on Circuits and Systems for Video Technology (2020), 1–1. https://doi.org/10.1109/TCSVT.2020.3037883
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Rasa Bocyte and Johan Oomen. 2020. Content Adaptation, Personalisation and Fine-grained Retrieval: Applying AI to Support Engagement with and Reuse of Archival Content at Scale. In ICAART (1). 506–511.
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Chrysa Collyda, Konstantinos Apostolidis, Evlampios Apostolidis, Eleni Adamantidou, Alexandros I Metsai, and Vasileios Mezaris. 2020. A Web Service for Video Summarization. In ACM International Conference on Interactive Media Experiences. 148–153.
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J. Dong, X. Li, C. Xu, X. Yang, G. Yang, X. Wang, and M. Wang. 2021. Dual Encoding for Video Retrieval by Text. IEEE Transactions on Pattern Analysis and Machine Intelligence (2021), 1–1. https://doi.org/10.1109/TPAMI.2021.3059295
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Damianos Galanopoulos and Vasileios Mezaris. 2020. Attention mechanisms, signal encodings and fusion strategies for improved ad-hoc video search with dual encoding networks. In Proceedings of the 2020 International Conference on Multimedia Retrieval. 336–340.
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Lyndon Nixon. 2020. Predicting Your Future Audience’s Popular Topics to Optimize TV Content Marketing Success. In Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery (Seattle, WA, USA) (AI4TV ’20). Association for Computing Machinery, New York, NY, USA, 5–10. https://doi.org/10.1145/3422839.3423062
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Basil Philipp, Krzysztof Ciesielski, and Lyndon Nixon. 2019. Automatically adapting and publishing TV content for increased effectiveness and efficiency. In Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery. 51–52.
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Raphaël Troncy, Jorma Laaksonen, Hamed R Tavakoli, Lyndon Nixon, Vasileios Mezaris, and Mohammad Hosseini. 2020. AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery. In Proceedings of the 28th ACM International Conference on Multimedia. 4756–4757.
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Yuan Wang. 2016. How do television networks use Twitter? Exploring the relationship between Twitter use and television ratings. Southern Communication Journal 81, 3 (2016), 125–135.
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Miggi Zwicklbauer, Willy Lamm, Martin Gordon, Konstantinos Apostolidis, Basil Philipp, and Vasileios Mezaris. 2020. Video Analysis for Interactive Story Creation: The Sandmännchen Showcase. In Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery. 17–24.
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Published In
June 2021
331 pages
ISBN:9781450383899
DOI:10.1145/3452918
Copyright © 2021 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
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Published: 23 June 2021
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- Demonstration
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IMX '21: ACM International Conference on Interactive Media Experiences
June 21 - 23, 2021
Virtual Event, USA
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Overall Acceptance Rate 69 of 245 submissions, 28%
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IMX '25
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