In research by IDC, the rate of creating, storing, and needing data will grow by 60% annually in the next five years because of the increased use of high-definition of video and images. Numerous companies are spending a lot of time and effort trying to manage the content – and are unsuccessful.
But, with the inception of the video intelligence solution, it’s easy to address operational challenges across a wide array of business environments. It’s easy to analyze video data for crucial information, organize it semantically, and also extract customer insights to quickly solve these concerns.
Also, video intelligence solutions come with label detection, logo identification, facial recognition, and many more features offering faster turnaround time with easy access to organization-wide content, operational efficiency, and increased safety and security protocols.
So, what does video intelligence mean for organizations? Herein, we’ll shed light on intelligent video analytics, its features, and applications. Let’s start!
Outlining Video Intelligence
Video intelligence is the process of analyzing every frame of video content to extract valuable insights from it. Intelligent video analytics allows you to recognize and analyze places, people, and objects along with text and logos in video content. Precisely, it’s used in every industry from healthcare to aerospace in one or the other form.
By integrating video intelligence, organizations can market research, manage video repositories, imply security protocols, conduct voice of the customer analysis, secure brand reputation, and a lot of other functions. This eventually helps you with implementing the necessary strategies to attract more customers and generate more revenue.
The unskippable Features of Video Intelligence API
Logo detection, facial recognition, object identification, and many such capabilities make video intelligent. A handful of the main features include:
By integrating logo detection, you can easily identify and recognize logos in a video. This feature automatically identifies logos you have already specified in the Machine Learning model and shows you how many times they appear in the video. Besides, you can also determine a specific brand’s presence by measuring how many times the brand’s product or logo has appeared in the video.
Search inside video
Search inside video features allow you to search and explore data across the complete video library for relevant topics and themes. This portrays that you will be able to search inside videos for words, text, images, logos, and other data more precisely. This feature saves on your time and efforts, especially if the data is cross-organizational.
Facial recognition features allow you to detect people in video content. For instance, when a person is found in the video, it shows you details about each person detected in the video. The feature also holds the potential to differentiate between different body parts.
Spot explicit content
Yes, video intelligence platforms have explicit content detection capabilities that can identify adult content (data inappropriate for persons under 18 years) in a video. This feature is popular with video streaming services like TikTok and YouTube.
The speech transcription feature transcribes spoken audio in a video into text and returns blocks of text for each portion of the transcribed audio. This proves to be a boon when you want to produce a transcript for a specific video file. Not to forget, this is also beneficial in jotting down video from a video, especially in educational settings.
The feature of individual detection allows you to identify faces in videos. It identifies a face or faces in a video, and also it shows you the segment where the faces appear.
Camera angle detection
Image orientation angle detection is quite a challenging task for machines. But, with this feature, it becomes easy to identify the stages in a video where there is a shot change. You can observe where the camera angle changes in a video to know if it was a continuous shot or not. This feature is useful while analyzing videos sent for evidence in criminal proceedings.
With the text identification feature, you can easily find text in the frames of the videos. So, when using this feature, you can extract any text that is shown in a video using OCR (Optical Character Recognition).
The feature of label detection allows you to identify entities in videos and also annotate them with labels. Besides, it also shows you the exact time when the object appears in the video. To put a differentiation from object identification, this feature provides labels for the complete frame and everything that is in the video.
Object identification and tracking features help you identify specific objects in a video. Unlike label detection, which offers labels for every object in a video frame, object tracking only identifies individual objects and provides a label for that object.
The Major Applications of Video Intelligence Solutions
Some applications in the field of video analytics are already known to the public. One such application is video surveillance, a task that has been in existence for more than decades. But, there are many more ways that video intelligence can be applied in a business that is all set to grow.
Let’s expand on some of these major apps:
When you can extract topics, themes, and entities from video content with the help of video analysis, you will be able to get feedback from your customers indirectly. And, when you have this feedback, you can analyze it and use the insights to improve business processes, marketing strategies, services, and products to keep your customer satisfied.
With video intelligence solutions you can extract insights about your product, customer experience, and what your customer thinks about your competitors. All these features make it perfect to conduct market research to evaluate where you can improve your offerings to attract new customers and stand out in the market.
Social media listening
Using video intelligence analytics, you can perform sentiment analysis on social media listening data from various platforms like Facebook, YouTube, Instagram and TikTok. Moreover, you can hear what people are talking about you, what hashtags are related to you, if your competitors are trending, and many more.
With video intelligence’s ability to track objects and people, it conducts visual inspections whether it’s around or inside business premises, on parking lots, on roads, or other areas.
Video ethnography is another app where video intelligence helps you to learn more about the everyday lives and behavioral patterns of your customer based on their demographics. In return, this helps you understand them better and target your marketing and advertising efforts in the right direction.
Video intelligence extracts insights from videos on which sentiment analysis can be easily performed. So, when using a sentiment analysis API that implements video content analysis, you will get deeper insights into customers’ feelings and opinions, and you can customize your offerings to align them with their expectations.
In a nutshell, video intelligence is invaluable in helping us in our daily tasks. In addition, more and more companies and educational institutions are inching toward remote work and learning environments, and the use of video presentations, video course material, video chats, and video collaterals has also catapulted.
So, to make the most out of it, an AI-enabled tool gives you the ability to mine videos, both from social-media platforms or web channels, as well as products, promotions, and your video repository for insights. Also, it includes an extensive sentiment analysis dashboard that’s a must for understanding your target audience.