1st International Workshop on AI for Smart TV Content Production, Access and Delivery
AI4TV 2019
- URL: https://memad.eu/ai4tv2019
- Event Date: 2019-10-21 ~ 2019-10-25
- Submission Date: 2019-07-08
- Location: Nice, France
In conjunction with ACM multimedia conference in Nice, France; the 1st international workshop on AI for smart TV content production, access and delivery is organized.
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. – have been undergoing a significant revolution during recent years. New scientific breakthroughs in video understanding through the application of AI techniques along with the increase in the volume of multimedia content and more computational power have led to significant improvements in automated video description and have opened fresh avenues for the seamless combination of multiple modalities’ analysis.
The workshop aims to bring together experts from academia and industry in order to discuss the latest research progress 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. Such topics include, but are not limited to, the following multimedia analysis techniques for streamed TV and radio programmes as well as TV archives (recorded content):
- Multimodal content analysis: scene segmentation, people and concept recognition, topic identification using video, audio and/or (textual) metadata
- Embeddings for Multimedia Knowledge Graph
- Use or adaptation of multimedia description models or vocabularies for machine learning / neural networks
- Combination of AI and external knowledge (graphs) for improved multimedia analysis
- Automatic multimedia summarization and remixing
- Automatic deep captioning
- Interactive multimodal search and browsing in archives
- Hyperlinking and enrichment of TV content
- Breaking the language barrier of TV content using multimodal translation
- Comparative evaluations of AI techniques for multimodal analysis tasks
- Creation of multimedia benchmarks for AI evaluations
- Gender studies on TV and Radio programmes
The main goal of the workshop is to promote AI techniques for multimedia analysis to enable smarter content production, access and delivery with the emphasis on large TV and radio program archives. We, thus, welcome submissions from both industry and academia, including interdisciplinary work and those from other relevant main streams.
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. – have been undergoing a significant revolution during recent years. New scientific breakthroughs in video understanding through the application of AI techniques along with the increase in the volume of multimedia content and more computational power have led to significant improvements in automated video description and have opened fresh avenues for the seamless combination of multiple modalities’ analysis.
The workshop aims to bring together experts from academia and industry in order to discuss the latest research progress 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. Such topics include, but are not limited to, the following multimedia analysis techniques for streamed TV and radio programmes as well as TV archives (recorded content):
- Multimodal content analysis: scene segmentation, people and concept recognition, topic identification using video, audio and/or (textual) metadata
- Embeddings for Multimedia Knowledge Graph
- Use or adaptation of multimedia description models or vocabularies for machine learning / neural networks
- Combination of AI and external knowledge (graphs) for improved multimedia analysis
- Automatic multimedia summarization and remixing
- Automatic deep captioning
- Interactive multimodal search and browsing in archives
- Hyperlinking and enrichment of TV content
- Breaking the language barrier of TV content using multimodal translation
- Comparative evaluations of AI techniques for multimodal analysis tasks
- Creation of multimedia benchmarks for AI evaluations
- Gender studies on TV and Radio programmes
The main goal of the workshop is to promote AI techniques for multimedia analysis to enable smarter content production, access and delivery with the emphasis on large TV and radio program archives. We, thus, welcome submissions from both industry and academia, including interdisciplinary work and those from other relevant main streams.
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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| Acta Via Serica (AVS) |
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| Computers and Concrete (CAC) |
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| Journal of Information Processing Systems (JIPS) |
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| Journal of Internet Computing and Services (KSII - JICS) |
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| Journal of Smart Tourism (Smart Tourism) |
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| Membrane and Water Treatment (MWT) |
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| Wind and Structures, An International Journal (Wind and Structures) |
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