Whitepaper: AI-Powered Solutions for Video AI
Learn how vidrovr's AI-powered solutions can help your organization to automate redundant, expensive, and riskier tasks, perfect them every time, and leave no room for human error.
Vidrovr generates metadata and goes beyond by providing it with a workflow automation solution that enables users to automate content creation, editing and publishing using state of the art AI.
Metadata is the descriptive data that helps a person, search engine, or computer understand a file‘s characteristics. While metadata is essential for all types of files and content, detailed video metadata that describes the objects appearing inside a video or image is where you truly observe the benefits of extracting such information.
At Vidrovr, we offer an innovative video AI solution that presents advanced analysis and metadata extraction.
The main challenge that many companies face is the manual analysis of large amounts of video on a daily basis, by having to observe the contents of each video and analyze its characteristics by hand.
We’ve developed a cohesive Video AI system that allows for the efficient extraction of rich video metadata, accurate context analysis, and instant content discovery built to match the demands of modern media consumption.
In streaming and VOD applications, providers face challenges in eliminating delays, transferring media from a live stream to VOD users, and inspecting live video for unsuitable content, language, or scenes.
Using Video AI technologies, users can create and publish VOD content without undergoing any downtime or delays, granting their audiences a seamless, intuitive experience.
The reason behind many of today’s video media challenges is that, compared to written content, video is much more complex, as it combines audio and visual content.
This makes the video’s contents much harder to identify by users and search engines online. One of the main functions of our Video AI system is making video content more measurable and discoverable by using metadata to create compelling customer experiences and online promotions.
By extracting metadata, users can explore the context of video content, which makes it easier to position their content accurately with relevant media online. In addition to that, metadata simplifies the process of classifying video content, understanding the context behind each clip, and taking action based on that information.
Join the growing list of companies that have turned to VidRovr to action their media landscape.
