Utilizing Machine Learning for Video Processing
The demand for media content in the form of audio, video, and images is growing at an unprecedented rate. To meet this demand, media content production is increasing rapidly. However, the process of producing, distributing, and monetizing content is often complex, expensive, and timeconsuming. Applying machine learning (ML) capabilities can allow for media companies to augment the work their teams are doing and provide capabilities that were previously prohibitively expensive or not even possible. ML capabilities are made available in one of three ways—built into software as a feature, consumed as an artificial intelligence (AI, of which ML is a subset) service [application programming interfaces (APIs) that can be consumed without ML expertise], and custom-trained models (which require data science expertise to train and deploy models).
- Print ISSN
- 1545-0279
- Electronic ISSN
- 2160-2492
- Published
- 2021-09
- Content type
- Original Research
- DOI
- 10.5594/JMI.2021.3101580