.jpg?alt=media&token=e444c39b-c388-4e1b-be02-1352dffdd320?w=3840&q=75)
Unlocking the Potential of Video Emotion API for Advanced Emotion Recognition
What is Video Emotion (AI) API?
Leveraging the power of AI, Imentiv’s Video Emotion API processes visual, audio, and contextual cues from videos to recognize and accurately classify emotions. It identifies subtle emotional expressions like anger, contempt, disgust, fear, happiness, neutrality, sadness, and surprise, offering a nuanced understanding of human behavior.
The Video Emotion Recognition API effectively understands emotions in changing scenarios. It captures subtle facial movements, known as micro-expressions, and tracks shifts in emotional states over time. This makes it an essential tool for developers, content creators, marketers, educators, and researchers who want to understand better and respond to human emotions.
How Does the Video Emotion AI API Operate?
Our Video Emotion Recognition API platform operates on advanced facial analysis, emotion classification, and multi-layered data processing principles. Explore how our Multimodal Emotion AI API enhances emotion analysis with integrated data processing
Facial Analysis using Facial Action Coding System (FACS)
The Video Emotion AI API employs the Facial Action Coding System (FACS) to analyze facial landmarks such as eyes, lips, and eyebrows. By decoding action units to capture a wide range of facial movements and expressions, our emotion analysis API provides insights into emotions that vary across different contexts and scenarios. It also processes micro-expressions—brief, involuntary facial movements—to capture fleeting emotional responses with precision, making it highly adaptable for diverse applications.
For instance, it can evaluate the trustworthiness of a person during an interview, gauge optimism in customer feedback, identify confusion during a user testing session, or assess how engaged participants are in a webinar or gameplay.
Emotion Classification
Our Video Emotion AI API categorizes emotions into predefined classes, including anger, contempt, disgust, fear, happiness, neutrality, sadness, and surprise.
It goes beyond simple classification by integrating the valence-arousal model into its emotion graph.
Valence helps determine whether the content leans towards positive or negative emotions, while arousal measures how exciting or calming the content is. This data is presented as a line graph, allowing users to visualize emotional states in a structured way.
Additionally, users receive numerical data alongside the graph, providing precise insights into emotional intensity and engagement. This comprehensive analysis empowers users to understand and optimize content for specific audiences effectively.
Discover how the Valence-Arousal model enhances emotional analysis in videos—read our full guide
Audio-Visual and Transcript Correlation (multi-layered data)
By combining visual, audio, and textual data, the API (Multimodal Emotion AI API) delivers a complete emotional analysis of video content. On the visual side, it tracks facial expressions and detects emotions such as anger, contempt, disgust, fear, happiness, neutrality, sadness, and surprise using the Facial Action Coding System.
On the audio side, the API analyzes voice tone to understand emotional states, correlating these with the emotions, while also utilizing speaker diarization to distinguish between multiple speakers.
Additionally, the API processes textual data from the transcript, analyzing the spoken words to uncover emotional context.
This synchronized analysis of video, audio, and text ensures accurate emotion tagging and comprehensive insights, even in complex, multi-speaker, or multi-layered scenarios.
Key Features of the Video Emotion AI API
Emotion Analysis
The Video Emotion API processes video frames, offering granular emotion analysis for every frame of the video. Our API breaks down the video into individual frames and analyzes the dominant emotion in each frame, along with the intensity of all other emotions. The API also identifies different faces in the video, providing emotional data for each face, and enabling detailed face-by-face emotional insights.
Users can view the emotion graph (which is built with the Valence-Arousal model) with 8 core emotions (anger, contempt, disgust, fear, happiness, neutrality, sadness, and surprise). This in-depth emotion analysis offers a comprehensive view of engagement throughout the video, helping to capture the subtle emotional shifts as they happen.
Video Summary
Along with emotion analysis, the Video Emotion AI API provides a concise summary of the video's spoken words or transcript. This feature processes the dialogue, extracting key information and generating a summary that highlights the main points and emotional context of the video.
This is perfect for quickly understanding the essence of a video, enhancing content review, and improving accessibility.
Personality Trait Analysis API
The Personality Trait Analysis API offers deep insights into personality dimensions using the Big Five OCEAN model—openness, conscientiousness, extraversion, agreeableness, and neuroticism. By analyzing video content, this API integration delivers detailed personality profiles of individuals, making it an invaluable tool for applications like recruitment, customer profiling, or evaluating content presenters.
The results are presented through visually intuitive bar charts, allowing for easy interpretation of personality traits. Businesses and researchers can use this API as an add-on to gain a comprehensive understanding of personality alongside emotional analysis.
Check out our blog on Personality Trait analysis in videos
Emotion Highlights API
The Emotion Highlights API pinpoints the most emotionally impactful moments in a video, frame by frame. By leveraging this feature, API users can identify sections that triggered the strongest reactions, enhancing their ability to understand audience engagement and optimize content. This feature is ideal for analyzing peak emotional responses in advertisements, video content, or focus group product testing.
Businesses and researchers can add this API to complement their emotion analysis, ensuring precise and targeted insights into emotional engagement.
Dive into the API Documentation
Who Can Benefit from Video Emotion AI API?
The versatility of the Video Emotion AI API makes it a valuable tool across multiple industries:
Marketing and Advertising: Evaluate emotional responses to advertising campaigns, helping marketers gauge audience engagement and effectiveness throughout the campaign lifecycle—from pre-launch to post-launch analysis. Our API platform provides insights into how audiences emotionally connect with your brand, allowing for adjustments that enhance the impact of marketing campaigns.
See how Emotion AI uncovered PepsiCo's engagement formula
Entertainment and Media: Support the filmmaking process through all stages, from pre-production to post-production, by analyzing the audience's emotional responses to content. Whether it's for cinema, TV shows, or other forms of video production, the API helps filmmakers and production teams refine their content for maximum emotional impact. For content creators—including YouTube influencers, social media creators, and video producers—the API provides valuable insights into how their audience emotionally engages with videos, helping to shape more engaging and resonant content.
Watch Imentiv's Presentation at IBC 2024 to unleash the Power of Emotion AI for Cinema
Gaming: Optimize player experiences by analyzing emotional responses during gameplay. Track how players react to in-game events, storylines, and challenges, providing data to improve game design and player engagement.
Healthcare and Therapy: Support emotional well-being by identifying stress, anxiety, or other emotional indicators in patients. This API can be used in therapy settings to track emotional progress and tailor interventions based on emotional states.
User Testing: In user testing sessions, understand how users emotionally engage with new designs, websites, or apps. This data can help refine user experience (UX) design by identifying moments of confusion, frustration, or excitement, ensuring a more intuitive and engaging interface.
Focus Groups and Product Testing: In focus group settings, gain insights into emotional responses toward product testing. Whether it's a new product or feature, understanding participants' emotional reactions can provide critical feedback for improving product development before launch.
Research: Ideal for researchers analyzing large volumes of video data, the Video Emotion AI API provides tools for processing and extracting emotional insights. Researchers can use the API to analyze human behavior and emotional responses in various contexts to manage and analyze large datasets efficiently.
Education: Enhance virtual learning by understanding student emotions during lessons. The API helps educators assess emotional engagement and potential learning challenges, providing insights to improve course materials and teaching strategies.
Customer Experience: Measure customer satisfaction and emotional responses during service interactions. Whether in retail, customer service, or product support, the API helps businesses understand emotional engagement, providing valuable feedback for improving service quality.
Our Video Emotion AI API is your go-to solution whether you’re looking to improve audience engagement, enhance content effectiveness, or gain deeper insights into human emotions.
Reach out to explore how this face emotion API can elevate your business.
Unlock the emotional intelligence of your videos with Imentiv’s Video Emotion Recognition API—your gateway to deeper audience insights, optimized content, and impactful engagement.