AI for Accessibility
YuJa’s products use Artificial Intelligence (AI) to improve the user experience and make content and videos accessible to everyone.
Deployed By Leading Organizations
Using AI for accessibility means making your online and video content available to all learners, regardless of their abilities. YuJa blends industry-leading AI technology to improve the user experience.
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The Video Platform’s AI Engine creates both captions and transcripts of the audio content in a video at approximately a 90-95% accuracy. We complement this offering with the ability to also integrate with a human captioning service.
The Media Player provides convenient Search-Inside-Video capabilities that are enabled by the captions and metadata generated by the Video Platform’s AI Engine.
The Video Platform’s AI engine is used to create automatic tagging and categorization metadata. This facilitates better cataloging and library-level categorization .
Automatically Categorize Presentation Topics and Create Metatags
AI Facilitates Automatic Captioning With 90-95% Accuracy
The YuJa Enterprise Video Platform integrates automatic voice-to-text captioning and transcription across all media. As a leader in automatic-speech recognition, our auto-captioning quality has about an 90-95% accuracy rate through powerful Artificial Intelligence-based Video Cognition software. Over time and usage, the artificial intelligence engine continues to learn and improve. Transcripts can be downloaded with line breaks for ease of reading.
Metadata and Cataloguing
AI Enables Word Cloud Generation, Transcripts, and Meta Tags
As an industry leader in video cognition, we utilize artificial intelligence and customized algorithms to automatically generate Word Clouds that describe the media visually, transcripts, related videos, and meta tags. We support the ability to generate captions in seven different languages automatically using our artificial intelligence based video cognition.
AI Can Automatically Categorize Presentation Topics and Create Metatags
YuJa’s Semantic Topic Analysis provides an automated, topical overview of subjects covered in a capture or uploaded video. The technology is able to quickly categorize the information in the video and creates a visual mindmap for the viewer.
Media is Automatically Indexed Within Minutes
The YuJa Enterprise Video Platform’s unique artificial intelligence-powered metadata generation along with Optical Character Recognition (OCR) technology automatically creates a number of indexes that are fully searchable:
Main IndexOur AI-based Video Cognition automatically generates an index based on the spoken words of the recording.
Slide IndexUsing Optical Character Recognition, the Video Platform automatically “reads” the slide content to generate a searchable slide index.
Review IndexIndividual users can use our digital note-taking and bookmarking capabilities to create a personalized and private index based on their own review of the video material. The individualized, user-generated index is fully searchable and self-managed.
Our AI Enables Advanced Video Asset Categorization
No matter the application, AI combined with machine learning helps to categorize media based on:
- Spoken word
- Slide Content (on-screen text)
- Notes and Bookmarks
- In-video comments
- Indexes and Table of Contents
Semantic Topic Analysis works within the Analytics to provide an automated, topical overview of subjects covered in a capture or uploaded video, which provides the ability to generate meaningful insights into the video’s contents.
How Semantic Topic Analysis Works
Semantic Topic Analysis starts with YuJa’s best-of-breed auto-captioning. Based on this, semantic topic analysis then creates searchable meta-layers, topic maps, and searchable tags.
The Benefits of Semantic Topic Analysis
Searchable Campus and Course Libraries
Super-topics become searchable tags, making it simple for students to find relevant content to further their academic goals.
Review Content Before Watching a Lecture
Topics and super-topics enable students or instructors to quickly review lecture content, without watching the lecture.
Make Connections with Different Topics
Semantic Topic Analysis provides students with increased ability to make connections between different facts and subjects.
The topics and super-topics provide a quick, one-look summary of lecture capture or video content.