Conference paper Open Access

Automatically Adapting and Publishing TV Content for Increased Effectiveness and Efficiency

Nixon, Lyndon; Ciesielski, Krzysztof; Philipp, Basil

By automatically adapting TV content for publication on secondary channels, we aim to increase user engagement and at the same time reduce the manual effort for broadcasters. We present a system architecture for automatic content adaptation and two distinct use
cases built on top of it.

Files (423.1 kB)
Name Size
AI4TV_10_final.pdf
md5:a6037669f9c2175fe463f31753ffb0ae 		423.1 kB Download
215
48
views
downloads
All versions This version
Views 215215
Downloads 4848
Data volume 20.3 MB20.3 MB
Unique views 210210
Unique downloads 4646
More info on how stats are collected.
Indexed in
Publication date:
September 11, 2019
DOI:
10.5281/zenodo.3404792

Zenodo DOI Badge

DOI 

10.5281/zenodo.3404792

Markdown 

[![DOI](https://www.zenodo.org/badge/DOI/10.5281/zenodo.3404792.svg)](https://doi.org/10.5281/zenodo.3404792)

reStructedText 

.. image:: https://www.zenodo.org/badge/DOI/10.5281/zenodo.3404792.svg
   :target: https://doi.org/10.5281/zenodo.3404792

HTML 

<a href="https://doi.org/10.5281/zenodo.3404792"><img src="https://www.zenodo.org/badge/DOI/10.5281/zenodo.3404792.svg" alt="DOI"></a>

Image URL 

https://www.zenodo.org/badge/DOI/10.5281/zenodo.3404792.svg

Target URL 

https://doi.org/10.5281/zenodo.3404792

Keyword(s):
television automatic content adaptation recommendation
Grants:
European Commission:
  • ReTV - Enhancing and Re-Purposing TV Content for Trans-Vector Engagement (780656)
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.5281/zenodo.3404792 Sep 11, 2019
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.3404791. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export