Introducing VodSearch
Real-Time Stream Monitoring
Gain valuable insights from live streams
Decide what content you need
Our Computer Vision Software watches live or archived videos and analyzes each frame in real time to identify and describe salient content.
Who benefits from this?
Real Time Computing
Our systems are designed to operate in real-time enabling live stream use cases. Specifically, we have built out initial systems around the e-sports ecosystem
We're also focused on the following ecosystems
Production Tools
Automatic video highlight
and replay creation
As well as identification, tagging and curation of in-game video content.
Our computer vision system autonomously identifies and curates potential highlights and short clips of interest, by understanding the content of the video itself with per-second granularity.
This allows our system to “tag” or categorize various portions of a video, identify interesting or exciting moments (e.g. kills, points scored, key moments, other aspects or events of interest), and can automatically extract highlights and short-form video clips that are most likely to drive audience engagement.
These clips or highlights can then be “piped” directly to your live video production crew in real-time, without user intervention. In addition to providing automated highlight/replay clips for live video production, the same curated video clips can easily be posted online by broadcasters, to drive increased digital engagement on social media, or archived.
Score Reporting and Tracking
Automate manual score-keeping where the raw data or score/game API is not readily available in real-time.
We recently worked on a poker broadcast (Daniel Negreanu vs Doug Polk) to automatically keep track of in-game statistics like the cumulative dollars won/lost by players, number of “rebuys”, number of hands played, bet sizes, etc.
None of this data was provided manually, it was extracted in real-time by our automated computer vision system, and used to drive a live-overlay surrounding the poker-game commentators, and to provide additional metrics and statistics to inspire the commentators and help them entertain and engage the audience.
Normally, these metrics would only be available after the broadcast had ended -- because they are difficult and expensive to track manually, in real-time -- but our computer vision system made possible live, commentator-driven use of these in-game metrics and statistics.
Data is provided through our API in the format that best suits you!
Logo Detection and Tracking for Advertisers and Sponsors
Monitor In Real Time
Analyze archived footage to determine when and where sponsor or advertiser logos appeared, for how long, and can provide ancillary analytics regarding the advertiser’s campaign and visibility.
This improves ad-measurement and makes computing return on ad-spend for the advertiser more repeatable, precise, transparent and trackable.
When the Streamer just won a round
Award points
Gamify your ads with thresholds, achievements and more
Display relaxing advertisment
Develop Emotional IQ related content from live streams
Call or text
Trigger customizable communication promotions
Track who’s killing the most bearded player skins during a game
Our system was built to meet both the spirit and imagination of marketing teams. Create engaging campaigns that are built around user interactions and in-game content.
Identify any content
Track events
Reward users
Add overlays to stream
Driven by live data
Capture clips
Get Started
Review a demo, schedule a pilot, and start making your vision a reality.