How Artificial Intelligence and Machine Learning Will Change Content Creation Methodologies
Metadata
- Publisher
- SMPTE — White Plains, NY, USA
- Doc Type
- Conference Paper
- Content Type
- Original Research
- Volume
- 2017, No. 10, pp. 1–15
- Abstract
- For almost 30 years, Digital Nonlinear Editing Systems (DNLEs) have functioned as a practical replacement for film and videotape editing. While DNLEs have progressed in their capabilities by offering increased video resolutions and visual effects, they have not fundamentally changed their operational constructs. Editors must still choose in and out points of shots and then methodically edit those shots into a cohesive sequencing. — Technology improvements in Artificial Intelligence (AI) and Machine Learning (ML) have the potential to profoundly impact how DNLE systems operate and, in turn, content creation methodologies will dramatically change. This paper will examine the effects of image recognition, natural speech processing, language recognition, cognitive metadata extraction, tonal analysis, and data and statistical integration on the creation of content.
- Publication Date
- 2017-10-23
- DOI
10.5594/M001794- ISBN
- Print:
978-1-61482-959-1 - Link
- https://doi.org/10.5594/M001794
- Author(s)
- Tom OhanianVitec Group
- Keyword(s)
- Digital Nonlinear Editing, Artificial Intelligence, Machine Learning, Cognitive Metadata, Speech Analysis, Language Recognition
- Copyright
- © 2017 Society of Motion Picture and Television Engineers, Inc.
Bibliographic Reference(s)
- Ido Arev, J. H. (2014, July 27). Automatic Editing of Footage from Multiple Social Cameras. EXTERNAL
- Jamie Lisanti, “New AI-Powered Technology is Coming to Wimbledon 2017”, Sports Illustrated, June 27, 2017. https://www.si.com/tennis/2017/06/27/wimbledon-2017-ibm-artificial-intelligence-ai-highlightsMediakix, “The Top 13 Facebook Live Statistics You Should Know”, March 9, 2017. http://mediakix.com/2017/03/facebook-live-statistics-video-streaming-to-know/#gs.7SKg1zI EXTERNAL
- Zen Heiga, K. T. (2009, November 1). Statistical Parametric Speech Synthesis. 51(11), pp. 1039-1064. EXTERNAL
- Sander Dieleman, Alex Graves, Nal Kalchbrenner, Koray Kavukcuoglu, Andrew Senior, Karen Simonyan, Aaron van den Oord, Oriol Vinyals, Heiga Zen, “WaveNet: A Generative Model for Raw Audio”, Google, September 19, 2016. https://deepmind.com/blog/wavenet-generative-model-raw-audio/Danny Donchev, “36 Mind Blowing YouTube Facts, Figures and Statistics”, Fortunelords, July 29, 2017. https://fortunelords.com/youtube-statistics/ EXTERNAL
- Maneesh Agrawala, Abe Davis, Mackenzie Leake, Anh Truong, “Computational Video Editing for Dialogue-Driven Scenes”, Stanford Research, Adobe Research, July 2017. http://graphics.stanford.edu/papers/roughcut/ EXTERNAL
- Michael Copeland, “What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?”, Nvidia, July 29, 2016. EXTERNAL
- Zen Heiga, Keiichi Tokuda, W. Black Alan, “Statistical Parametric Speech Synthesis”, Nagoya Institute of Technology, Volume 51, Number 11, Page 1039-1064. EXTERNAL
- Priestly, J. (2017, July 28). Wimbledon to Use IBM's Watson for Highlights, Analytics. TV Technology. EXTERNAL
- Publication date: July 2017. http://grail.cs.washington.edu/projects/AudioToObama/ EXTERNAL
- Disney Research. Ira Kemelmacher-Shlizerman, S. M. (2017, July 1). Synthesizing Obama: Learning Lip Sync from Audio. ACM Transactions on Graphics, 36(4), p. 95. EXTERNAL
- Maneesh Agrawala, A. D. (2017, July 1). Computational Video Editing for Dialogue-Driven Scenes. Stanford Research and Adobe Research. EXTERNAL
- Priestly, Jenny, “Wimbledon to Use IBM’s Watson for Highlights, Analytics”, TV Technology, July 28, 2017. http://www.tvtechnology.com/news/0002/wimbledon-to-use-ibms-watson-for-highlights-analytics/281307Don Reisinger, “Here’s How Many iPhones Are Currently Being Used Worldwide”, Fortune Magazine: March 6, 2017. http://fortune.com/2017/03/06/apple-iphone-use-worldwide/ EXTERNAL
- Mihai A., “Top 12 Smartphones with 4K Recording Capabilities”, Phonearena, October 11, 2015. https://www.phonearena.com/news/Top-12-smartphones-with-4K-video-recording-capabilities_id74560Ido Arev, Jessica Hodgins, Hyun Soo Park, Arik Shamir, Yaser Sheik, “Automatic Editing of Footage from Multiple Social Cameras”, Disney Research, July 27, 2014. https://www.disneyresearch.com/project/automatic-social-editing/ EXTERNAL
- Ricardo Herreros-Symons, “Making Speech Recognition Real-time at NAB 2017”, Speechmatics, May 12, 2017. https://blog.speechmatics.com/2017/05/12/making-speech-recognition-real-time-at-nab-2017/Zeyu Jin, “Adobe VoCo for Adobe Creative Cloud”, Adobe Max 2016, November 4, 2016. https://www.youtube.com/watch?list=PLD8AMy73ZVxVLnQh5m-qK0efH3rKIYGx2&v=I3l4XLZ59iwIra Kemelmacher-Shlizerman, Steven M. Seitz, Supasorn Suwajanakorn, “Synthesizing Obama: Learning Lip Sync from Audio”, ACM Transactions on Graphics, Vol. 36, No. 4, Article 95. EXTERNAL
Source Data (JSON)
Full registry record with provenance metadata. Open directly: /api/doc/10.5594-M001794.json
Reference Tree
Explore all references and references to this document, as a navigable tree.
Open Reference TreeReference this Doc
Plain text (ISO 690 compliant)
Preview:
Tom Ohanian; How Artificial Intelligence and Machine Learning Will Change Content Creation Methodologies, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1. Available at https://doi.org/10.5594/M001794
Snippet:
Tom Ohanian; How Artificial Intelligence and Machine Learning Will Change Content Creation Methodologies, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1. Available at https://doi.org/10.5594/M001794
HTML (ISO 690 compliant)
Preview:
Tom Ohanian; How Artificial Intelligence and Machine Learning Will Change Content Creation Methodologies, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1. Available at https://doi.org/10.5594/M001794
Snippet:
<span class="citation">Tom Ohanian; <cite>How Artificial Intelligence and Machine Learning Will Change Content Creation Methodologies</cite>, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1. Available at <a href="https://doi.org/10.5594/M001794" target="_blank" rel="noopener">https://doi.org/10.5594/M001794</a></span>
SMPTE's HTML Pub
Preview:
Tom Ohanian; How Artificial Intelligence and Machine Learning Will Change Content Creation Methodologies, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1
doi: 10.5594/M001794
url: https://doi.org/10.5594/M001794
doi: 10.5594/M001794
url: https://doi.org/10.5594/M001794
Snippet:
<li> Tom Ohanian; <cite id="bib-10-5594-m001794">How Artificial Intelligence and Machine Learning Will Change Content Creation Methodologies</cite>, SMPTE Meetings and Conferences ( October 2017); SMPTE, 2017, ISBN: 978-1-61482-959-1 <span class="doi">10.5594/M001794</span> </li>