ARTIFICIAL INTELLIGENCE
MACHINE LEARNING
Enterprises are rapidly compiling large libraries of video content as this medium becomes more popular across business functions. However, finding specific content residing within these prolific videos is becoming a challenge, especially for time sensitive needs. Rev IQ leverages artificial intelligence to empower you to find the video content you need when you need it. Searches can be conducted for particular keywords, or the presence of a particular speaker.
Problem
Organization want to harness the power of video to increase engagement learning and improve marketing performance
With millions of videos being watched every minute, video represents an overwhelming majority of storage and bandwidth usage within the modern enterprise. As massive corporate investments in digital transformation continue to under deliver, there is an obvious culprit: big data will only deliver value with the right technology and analytics to transform it into something practical. If video content is the biggest of big data, what has your corporation been doing to ensure maximum returns from investing in it?
Powered by artificial intelligence, Rev IQ unlocks the value trapped in a company’s video library. Rev IQ uses facial recognition and machine transcription to automatically enrich videos with information about who appears in a video and what is being said. This transforms videos from just being bulky media files with sparse metadata into fully searchable files rich with value for roles across the enterprise
Challenges
Videos are siloed in various application.
Value is trapped in the video,
Relevant content is out of reach.
Research
Conducted few User interviews and understand their needs. Most of big clients are concern about the security and also restrict this in Rev Platform only. With this help Rev is more strong and security on facial recognition and sensitive content.
Using AI & Machine Learning to extract information from videos and surface it to end users.
Take quick understand of doing evening course in and Machine Learning Udemy. Understand the concept that make me design easily.
Practice User for Video AI
Who: The People who appear in the video
What: The Spoken text of the video
When: At what point in a video something happend
Where: Whether this video is associated with a live event. å
KEY RESPONSIBILITIES
INTERACTION DESIGN
- USER JOURNEY
- TASK ANALYSIS
- WIREFRAMES
- LOW FIDELITY MOCKUPS
- INTERACTION PATTERNS
PRODUCT STRATEGY
- ANALYZING BUSINESS GOALS
- REQUIREMENT GATHERING
- COMPETITIVE ANALYSIS
VISUAL DESIGN
- Invision
- Adobe XD, ADOBE photoshop
- High fidelity mocks
USABILITY EVALUATION
- USER INQUIRY
- USER TESTING
Sketch
White board iterations , discussion with product manager vp of product.
Design
PERSON RECOGNITION
Rev IQ will use computer vision algorithms to recognize and tag speakers. This enables filtering by the specific videos they can be found within, as well as jumping to the precise scenes in which they appear.
machine transcription
Create dialogue transcripts for your videos that empower closed captions, localization across multiple languages, and the ability to search granularly for specific content and topics within your video librar
CONTEXTUAL INFORMATION
Rather than just using this new data for search engines, Rev IQ can highlight this information for users as they watch the video. The ability to see the context of who is in a scene and what they are saying will bring a consumer-class streaming experience to your corporate video library while making them more accessible and flexible in usage.
Admin Settings
Result
Rev IQ is the only enterprise video platform that uses facial recognition to automatically tag speakers so you can find the videos they appear in and jump to the moment that they appear. The solution also transcribes videos with automatic speech recognition (ASR) in English, French, German, Spanish, Brazilian Portuguese, and Mandarin Chinese. Transcripts can then be used to power video closed captions and keyword searches across all video content. Rev IQ leverages artificial intelligence and machine learning capabilities to enable users to discover the video content they need, resulting in improved user productivity, collaboration, and knowledge sharing.
Rev IQ empowers users by surfacing relevant content that drives productivity. It saves countless hours of manual tagging by automating the enrichment of video assets with rich metadata. Lastly, Rev IQ provides a dynamic AI-driven video viewing experience called “Pulse” which drives user engagement. As a result, the user experience is enhanced, knowledge sharing is improved and return on investment in video assets is amplified.
Future
ARTIFICIAL INTELLIGENCE is most developing technology. Rev IQ is planing next phase to detect voice recognition, grouping the two speakers and topic related search by using machine languages.
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