Conference paper Open Access
AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery
Troncy, Raphaël; Laaksonen, Jorma; Tavakoli, Hamed; Nixon, Lyndon; Mezaris, Vasileios; Hosseini, Mohammad
Technological developments in comprehensive video understanding – detecting and identifying visual elements of a scene, combined with audio understanding (music, speech), as well as aligned with textual information such as captions, subtitles, etc. and background knowledge – have been undergoing a significant revolution during recent years. The workshop brings together experts from academia and industry in order to discuss the latest progress in artificial intelligence research in topics related to multimodal information analysis, and in particular, semantic analysis of video, audio, and textual information for smart digital TV content production, access and delivery.
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- Publication date:
- October 12, 2020
- DOI:
-
- Keyword(s):
- Artificial Intelligence TV content production TV content delivery TV content analysis TV content annotation Intelligent multimedia
- Grants:
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European Commission:
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ReTV - Enhancing and Re-Purposing TV Content for Trans-Vector Engagement (780656)
- MeMAD - Methods for Managing Audiovisual Data: Combining Automatic Efficiency with Human Accuracy (780069)
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ReTV - Enhancing and Re-Purposing TV Content for Trans-Vector Engagement (780656)
- Meeting:
- ACM Multimedia (ACM MM), Oct. 2020
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International