Human beings can distinguish objects, places and people very easily. This might seem like a trivial fact but the way we process images, along with whatever nuances may come with them is hard to replicate for machines.
Image recognition is the task of identifying objects of interest within an image and recognizing which category it belongs to. (Source: viso.ai)
Its application is used everywhere, from unlocking your phone to the memories Google Photos sends you daily.
AI based image recognition is, in simple terms, technology that uses AI to identify written characters, human faces, objects and other information.
According to Statista Marketing Insights, the global image recognition market is expected to grow 10.4% from 2023 to 2030. Meaning more effort will be put into making it better and more sophisticated.
Let’s take a look at how it works, its advantages and how it can be used to improve your content.
How Does AI Image Recognition Work?
It is a machine learning process where AI learns by analyzing large amounts of image data. The accuracy of image recognition is improved by continuous learning and the more data it is given.
Although it is not as straightforward as you may think, for a human we see a picture of a dog and we identify it as just that. For the AI algorithm, however, it will see a dog and say it is 70% dog, 21% cat and 9% rat. This is called a confidence score.
To improve the score, the use of deep neural networks has been used. Which are algorithms that are made to simulate the way a human brain functions.
The difference between traditional image recognition and AI image recognition is that for the latter, it is not just about extracting data from an image but understanding what it represents in a broader context. (Source: Cloudinary)
This is important in fields such as healthcare, where it can be used to identify diseases from medical scans. It can also be used software used by content creators for easier analysis and editing.
How Does AI-Powered Image Recognition Support Content Creation?
Here are some benefits that content creators and event professionals alike might find in this technology:
- Speedy Editing: AI-powered image recognition algorithms can quickly analyze large volumes of video footage, identifying specific objects, scenes, or patterns much faster than manual human effort. This efficiency helps streamline the video editing process, reducing the time required for tasks such as sorting through footage or locating specific scenes.
- Auto-Organization: It can automatically tag and categorize video content based on the objects, people, or actions detected within the footage. This automated tagging simplifies the organization of video assets, making it easier for editors to locate relevant clips and scenes during the editing process.
- Instant Touch-Ups: AI algorithms can analyze the composition of individual video frames, identifying elements such as lighting conditions, color balance, and framing. This analysis enables automated adjustments to be made to various aspects of the video, such as exposure correction, color grading, or cropping, to enhance overall visual quality.
Video Editing Software with AI Image Recognition.
With an uptick of AI use and digital content creation, there are quite a few software that use these AI algorithms in their software to improve video editing. Here are a few examples of the ones you can use:
- Adobe Premiere Pro: Adobe Premiere Pro, part of Adobe Creative Cloud, incorporates AI-powered features such as Auto Reframe, which automatically adjusts the aspect ratio of videos based on content recognition, and Scene Edit Detection, which identifies cuts in long video clips, helping editors streamline their workflow.
- Davinci Resolve: Davinci Resolve, developed by Blackmagic Design, offers features like Neural Engine, which uses AI algorithms for tasks such as facial recognition, speed warp, and object removal, enhancing the editing process and improving efficiency.
- Edit on the Spot: Edit on the Spot is an automated video editor powered by AI. Imagine effortless video editing in real-time; saving time and ensuring consistency. AI algorithms automate video capture; repurposing and sharing it. Perfect for event organizers who seek solutions for quick editing. Edit on the Spot simplifies processes and saves times through: Seamless delivery, automatic trimming and AI-driven editing.
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