EMOTIONAL DATA

 Automated, high-quality emotional data. Our Fingerprint service provides deeper analysis and data by measuring thousands of factors throughout the duration of the video, including color, pace, audio, object recognition and more.

CONTENT SIMILARITY

The foundation for a personalized TV-experience starts with quality data and an emotional understanding of your content. This data is exponentially more powerful in the context of other data points created by our cutting edge AI.  

DECISION FRAMEWORK

People's tastes are different. Their consumption patterns are unique. By combining Vionlabs' deep analysis of content with the complexities of user preference, you have the ability to create world class personalization.

MOOD CHANNELS

The best of both worlds: Combining the comfortable lean-back experience of Linear TV with the personalization of OTT enables hyper-personalized channels filled with content tailored just for you.

EMOTIONAL DATA EXPLAINED

Everything you need to know about a piece of content can be found within the content itself. The colors, objects, sounds, action levels and much more are there to make you feel exactly the way the director intended. By combining the latest techniques in AI with extensive expertise in film creation, Vionlabs are able to extract all the relevant information needed to determine the emotional impact of content at scale. We call this extraction a "Fingerprint" and this extraction represents the highest quality description of content available in the industry today. This new approach to describing content is solving the often very expensive Meta Data problem. Why over pay for data that is disappointing, woefully inadequate and counterintuitive?  If a picture is worth a thousand words, how much is a movie worth? 

Let us show you...

Once we analyze your library you will  receive the following:

• Emotional time-series based on proven and time tested psychological models 

• Fingerprinting in a format designed for easy integration with recommendation engines

• Alpha Numeric labels and  values that allow for more advanced use cases 

• Mood Categories - i.e. Tense Crime, Nerve-Shredding Horror to help humans understand, organize , and augment their libraries. 

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Feed your recommendation algorithm the data it deserves to create the user experience your customers expect.

• Same high-quality data for every title in your library including long-tail, local productions and new releases

• Fully automated Analysis with data created in real-time to keep up with your every changing content library

• Unique data points to enable your team to create unique use-cases for world class customer experiences.

EMOTIONAL ANALYSIS OF SAVING PRIVATE RYAN

Hover over the images for detailed emotional data

A PICTURE IS WORTH A THOUSAND WORDS, A VIDEO IS WORTH MILLIONS...

Imagine the investment of time, money, and effort that it takes to create a feature length film. Now consider what this prized creation is reduced to... a single word category and a few adjectives.  We can do better, we must do better... The story's emotional structure is a part of the identity that makes a movie unique. To understand and analyze this at scale, we need to use AI that is trained to understand storytelling at its core. Two well known examples that demonstrate this concept are "war" movies.  They are exactly the same according to traditional metadata. But with what we can see below, these films have two very different emotional storylines and they leave us in two very different emotional states. Why is this important? Because this understanding leads to a world class customer viewing experience, and the alternative is recommending just another war movie... of which there are over 1300. 

EMOTIONAL SIMILARITY

Dumb question: How similar are the titles in your catalogue and what makes them similar? Imagine having to go into your next content budget meeting and being asked these questions. Now imagine having the answer.

To understand the movies in the "Avengers" franchise are similar doesn't require much sophistication, but how are you going to deal with your mid/long-tail content and local productions? How do you expose content that has no metadata coverage or just a genre? How do you avoid the problem of your users getting stuck in "bubbles" where they are exposed to the same type of content over and over again? Traditional metadata doesn’t provide you with enough nuances to accurately answer these questions. If a picture is worth a thousand words, a movie is worth only a few?

Our cloud-based AI platform allows you to organize your library in ways that were not imaginable in the past. 

Vionlabs can now deliver:

• Embeddings with a Proprietary Similarity Score

• Movie Similarity Scores

• Series Similarity Scores

• Content Affinity Recommendations

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Through Vionlabs Emotional Similarity you will:

• Maximize the full revenue producing value of your content catalogue by finding similarity and connections throughout the entire catalogue

• Keep users engaged and happy for a longer period of time by exposing "affinity titles" they can not  discover themselves

• Find similarity across multiple genres, languages and all types of content that is not  possible using traditional metadata sources.

EMOTIONAL DECISION FRAMEWORK: LEADERSHIP IN THE ERA OF BAD DATA

Content analysis is a science. Recommendations and the definition of "good" is subjective and something that needs to be analyzed at the personal and individual level. How is a user consuming content over time? How receptive is the individual to stress in the morning vs. the evening? When are they most receptive to joyful happy content vs. scary  or stressful content? We analyze these consumption data points in combination with our understanding of the emotional impact of your content. VIonlabs enables you to constantly increase the understanding of your customers tastes as they evolve over hours, days, and months. 

Imagine the Net Promoter Score impact when you have:

• Personalized Weekly Playlists

• Personalized Daily Playlists

• Personalized Mood Categories

• Personalized Mood Channels

That are all based on data that you alone possess...

EACH FAMILY MEMBER'S PREFERENCES

Each family member has their own usage patterns

Julia:  Starts the evening with slow paced "Tense Crime" and ends the evening with stressful "Nailbiting Horror"

Junior: Watches "Energizing Cartoons" in the morning and "Light-hearted Family Adventures" in the evening

John: Watches "Laid-back Comedies" in the early evening and "Calming Documentaries" at night. 

PERSONALIZED MOOD CHANNEL

EMOTIONAL DECISION FRAMEWORK APPLIED

Mood Channels leveraging the Emotional Decision Framework is a unique approach to personalization where each user's emotional behavior is analyzed over time to understand detailed consumption patterns and perfectly match content with personal preference creating the most advanced personalization solution available... why follow when you can lead?

JOHN'S WEEKLY MOVIE CHANNEL

John watches laid-back comedies in the afternoon and high-voltage action in the evening.

JULIA'S WEEKLY MOVIE CHANNEL

Julia watches uplifting romance and musicals in the afternoon, switching to nail biting horror in the evening

Watch history and emotional data over time that allows you to recommend  by mood as opposed to genre and key word alone.

Watch history and emotional data over time that allows you to recommend  by mood as opposed to genre and key word alone.