Disney Created a Facial Recognition System Named the Content Genome
Daniel Johnson — July 20, 2020 — Tech
Disney created a new AI facial recognition platform, named the Content Genome, which can be used to automate a massive digital archive for decades of animated content. The content Genome was created by researchers from the Direct-to-Consumer & International Organization, DTCI, and the group states that it can act as an ‘automated tagging pipeline.’ The project was started back in 2016, and it uses facial recognition software to sift through animated content and detect faces.
The system would allow Disney to quickly search through huge amounts of content to find even the smallest details. This information can be used to help inform future movies and shows from Disney. In the future, the company states that the system could be expanded to understand general concepts, through Multimodal machine learning.
Image Credit: Disney
The system would allow Disney to quickly search through huge amounts of content to find even the smallest details. This information can be used to help inform future movies and shows from Disney. In the future, the company states that the system could be expanded to understand general concepts, through Multimodal machine learning.
Image Credit: Disney
Trend Themes
1. AI-powered Animation Analysis - The use of AI-powered facial recognition systems could analyze large amounts of animated content for future movie and show ideas.
2. Multimodal Machine Learning - Expanding the Content Genome to understand concepts through multimodal machine learning creates potential for enhanced content analysis.
3. Automated Digital Archive Creation - Creating an automated tagging pipeline has potential to streamline and speed up the process of creating digital archives of animated content.
Industry Implications
1. Entertainment - The entertainment industry could benefit greatly from AI-powered facial recognition systems to aid in content creation and analysis.
2. Technology - Technology companies can use the Content Genome as an example of successful facial recognition and machine learning systems for future development.
3. Archiving - The archiving industry can utilize AI-powered automated tagging pipelines for faster and more accurate content labeling and organization.
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