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AI4TV '20: Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery
ACM2020 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
MM '20: The 28th ACM International Conference on Multimedia Seattle WA USA 12 October 2020
ISBN:
978-1-4503-8146-8
Published:
12 October 2020
Sponsors:
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Abstract

It is our great pleasure to welcome you to the 2020 International Workshop on AI for Smart TV Content Production, Access and Delivery - AI4TV 2020. 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 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.

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SESSION: Keynote & Invited Talks
keynote
AI in the Media Spotlight

The use of AI technology offers many new opportunities for the media sector; in particular, it leads to an increase in productivity and efficiency to convey relevant information to appropriate viewers quickly and accurately.

In this keynote, I will ...

keynote
And, Action! Towards Leveraging Multimodal Patterns for Storytelling and Content Analysis

Humans perform intelligent tasks by productively leveraging relevant information from numerous sensory and experiential inputs, and recent scientific and hardware advances have made it increasingly possible for machines to attempt this as well. However, ...

SESSION: Session 1: Video Analytics and Storytelling
research-article
Predicting Your Future Audience's Popular Topics to Optimize TV Content Marketing Success

TV broadcasters and other organizations with online media collections which wish to extend the reach of and engagement with their media assets conduct digital marketing activities. The marketing success depends on the relevance of the topics of the ...

research-article
Neural Style Transfer Based Voice Mimicking for Personalized Audio Stories

This paper demonstrates a CNN based neural style transfer on audio dataset to make storytelling a personalized experience by asking users to record a few sentences that are used to mimic their voice. User audios are converted to spectrograms, the style ...

research-article
Video Analysis for Interactive Story Creation: The Sandmännchen Showcase

This paper presents a method to interactively create a new Sandmannchen story. We built an application which is deployed on a smart speaker, interacts with a user, selects appropriate segments from a database of Sandmannchen episodes and combines them ...

SESSION: Session 2: Video Annotation and Summarization
research-article
Named Entity Recognition for Spoken Finnish

In this paper we present a Bidirectional LSTM neural network with a Conditional Random Field layer on top, which utilizes word, character and morph embeddings in order to perform named entity recognition on various Finnish datasets. To overcome the lack ...

research-article
Avoid Crowding in the Battlefield: Semantic Placement of Social Messages in Entertainment Programs

Crisis situations often require authorities to convey important messages to a large population of varying demographics. An example of such a message is maintain a distance of 6 ft from others in times of the present COVID-19 crisis. In this paper, we ...

research-article
Realistic Video Summarization through VISIOCITY: A New Benchmark and Evaluation Framework

Automatic video summarization is still an unsolved problem due to several challenges. We take steps towards making it more realistic by addressing the following challenges. Firstly, the currently available datasets either have very short videos or have ...

Contributors
  • EURECOM- Graduate School and Research Center in Digital Sciences
  • Aalto University
  • Aalto University
  • MODUL University Vienna
  • Information Technologies Institute
  • University of Illinois Urbana-Champaign
  1. Proceedings of the 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery

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