The cloud-based solution can be integrated with existing workflows throughout the entire video acquisition, production and distribution chain.
Vionlabs has announced the launch of Emotional Fingerprint API, a cloud-based solution that enables media companies to make better decisions based on deep AI-generated video data and insights.
Emotional Fingerprint API looks to provides an advantage in areas such as determining acquisition and production strategies, personalised UI and video recommendations, as well as enabling opportunities in advertising.
Emotional Fingerprint API promises to offer deeper analysis and data by measuring thousands of factors throughout the duration of the video, including colours, pace, audio, object recognition and many more variables to produce an AI-derived fingerprint timeline, frame-by-frame, that represents the emotional structure of the content that the industry needs to empower its decision making.
Vionlabs’ Content Analysis Platform which uses AI and deep learning and combines this video analysis with a viewer’s detailed watch history to provide content discovery services to operators through a cloud-based SaaS model. It enables operators to cut down the time consumers spend looking for content, reduce churn and improve key business metrics.
Meanwhile, Emotional Fingerprint API is deployed through a Data as a Service model to enable media companies to make better decisions based on deep AI-generated video data and insights, including the emotional content of the video.
Commenting on the solution, Marcus Bergström, CEO, Vionlabs, said: “By providing powerful video data and insight as a service we’re making it so much easier for media organisations to utilise the deepest video knowledge presently available. Our first solution Content Analysis Platform solves the important issue of content recommendation and personalization. However, we also want to open up the possibility to provide great data and insights, without deciding where and how media companies should apply it. With the launch of our cloud-based Emotional Fingerprint API, our customers can deploy our data and insights with their existing recommendation and personalization workflows, but importantly can now apply it in any and every part of their business that can be helped by the deepest understanding of video content at scale.”
