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True Video Intelligence Solution for Multilingual Data

Video intelligence allows you to analyze video data for vital information, organize it semantically, and extract consumer insights from it. Intelligent video analytics includes logo identification, search inside video capability, label detection, facial recognition, and so much more. This allows for operational efficiency, faster turnaround times with easier access to organization-wide content, better product and service innovations, enhanced safety and security protocols, and the like.

In this post, we’ll look at intelligent video analytics, its features, video intelligence applications, as well as two very interesting customer success stories where you will see how video AI has helped two top organizations in two very different environments.

What Is Video Intelligence?

Video intelligence is the process of analyzing video content in order to extract valuable insights from it. Intelligent video analytics allows you to recognize and analyze objects, places, people, as well as text and logos in video data. It’s used in almost all industries in some form or the other whether it’s healthcare, automotive, retail, transport, weather, or aerospace.

By using intelligent video analytics, organizations can conduct voice of the customer analysis, market research, manage video repositories, apply security protocols, protect brand reputation by analyzing brand associations, and many other functions. This allows you to implement the necessary strategies to improve your operational machinery, products, services, and marketing efforts to reach a wider audience, attract more customers, and generate more revenue.

What Are the Main Features of Video Intelligence API?

Object identification, facial recognition, logo detection and many other such capabilities comprise video intelligence. Some of the main features of a video intelligence API include:

Features of Video Intelligence API

1. Object identification

With object identification and tracking, you can identify specific objects in a video. Unlike label detection, which provides labels for every object in a video frame, object tracking only identifies individual objects and provides a label for that object.

2. Facial recognition

This feature allows you to detect people in video content. When a person is found in the video, it shows you details about each person detected which includes the video segments where they were detected.The feature can also differentiate between different body parts.

3. Spot explicit content

Video intelligence platforms have explicit content detection capabilities that can identify adult content in a video. Adult content is data that’s inappropriate for persons under the age of 18. Using this feature, you can see exactly where in the video the explicit content appears. This functionality is popular with video streaming services like YouTube and TikTok.

4. Individual detection

Intelligent video analytics allows you to identify faces in videos. It identifies a face or faces in a video, and it shows you the segments where the faces appear.

5. Text identification

With text recognition, you can detect and identify text in the frames of a video. When using this feature, you’ll be able to extract any text that is shown in a video using optical character recognition (OCR).

6. Speech transcription

With speech transcription in video intelligence you can extract speech from video and transcribe it to text. This is a helpful feature when you, for instance, want to produce a transcript of a specific video file. This is also helpful in making notes from a video, especially in educational settings for surgeon notes, tutor notes, etc.

7. Camera angle detection

With this feature you can identify the stages in a video where there is a shot change. You can see where the camera angle changes in a video to know if it was a continuous shot or not. This feature is very useful while analyzing videos sent for evidence in criminal cases, for instance.

8. Label detection

Label detection allows you to identify entities in videos and annotate them with labels. It will also show you the exact time when the object appears in the video. It’s important to differentiate label detection from object tracking mentioned earlier. With label detection, the feature provides labels for the entire frame and everything that is in the video.

9. Logo recognition

With logo detection, you can detect and recognize logos in a video. This feature automatically identifies logos you have specified in the machine learning model and shows you how many times they appear in the video. You can also determine a specific brand’s prominence by measuring how long that brand’s product or logo appeared in the video.

10. Search inside video

With search inside video, you can search and explore data across an entire video library for relevant topics and themes. This means you’ll be able to search inside videos for words, text, images, logos, and other data more accurately than ever before at the exact time stamp. You save time and increase efficiency, especially if the data is cross-organizational.

What Are the Major Applications of Video Intelligence?

There are many rich ways that video intelligence can be applied in a business setting for growth and efficiency such as market research, consumer insights, semantic organization of video repositories, cybersecurity, and healthcare delivery. Let’s expand on some of these major applications.

Applications of Video Intelligence

1. Social media listening

With intelligent video analytics, you can perform sentiment analysis on social media listening from platforms like YouTube, Facebook, Douyin, Instagram, and TikTok to mention but a few. You can hear what people are talking about you, if your competitors are trending, and why, what hashtags are associated with you, and many more

2. Market researchYou can extract insights about your product, what your customers think about your competitors, as well as customer experience. This makes video intelligence perfect to conduct market research in order to determine where you can improve your offering in order to attract new customers and stand out in the market.

3. Feedback analysisWhen you’re able to extract topics, themes, and entities from video content by using video content analysis, you’ll be able to get feedback from your customers indirectly. When you have this feedback, you can analyze it and use the insights it provides to improve your business processes, products, services, or marketing to keep your customers satisfied.

4. Surveillance and cybersecurity

Being able to track specific text, speech, and people through AI makes video intelligence a valuable tool to identify cybersecurity threats in video data that can include security camera video footage.

5. Visual inspection

Through its ability to track objects and people, intelligent video analytics allows for you to conduct visual inspections whether it’s around or inside a business premises, on roads, in parking lots, or other areas.

6. Healthcare and rehabilitation

Video intelligence can also provide valuable information and data that can help improve healthcare. For example, video analysis can provide a method of at-home, real-time monitoring of patients that are treated and rehabilitated in their homes. In this way, healthcare facilities will be able to detect any emergencies like falls or injuries and be able to respond to them. Additionally, intelligent video analytics is tremendously helpful in teaching hospitals as it helps students learn from surgery videos that can clock several hours.

7. Sentiment analysis

Video intelligence allows you to extract insights from social media videos, videos on streaming platforms, and you’re able to perform feedback analysis on certain topics, themes, and entities via sentiment analysis. When using a sentiment analysis API that implements video content analysis, you’ll thus get deeper insights into the opinions and feelings of consumers about their buying journey and experience. And when you understand your customers better, you can tailor your offerings to align it with their expectations.

8. Video ethnography

By analyzing video ethnography, you can learn more about the everyday lives and behavioral patterns of your customers based on their demographics. In turn, this allows you to understand them better and target your marketing and advertising efforts around that information.

9. Monitoring news and live streams

You can monitor live streams and news for certain topics, trends, or events. This makes video AI ideal if you want to act on certain events, and you need to know exactly when they happened. Learn more about news monitoring with sentiment analysis.

10. Content-based video retrieval

With the search inside video capability that video content analysis offers, you can search for specific content across an entire video library and retrieve the videos that contain the content you’re looking for.

Video Intelligence Business Use Cases

Video intelligence is one of the most fast-rising and sought-after AI-technologies in this digital age that has more internet of things (IoT) devices than ever before. Added to that, the pandemic of Covid19 has made businesses realize how limited the scope of direct marketing tactics like brochures and mails is compared to web-based formats. In addition, marketing and product webinars, podcasts, user-generated review videos on snapchat, TikTok, Facebook, etc have increased multifold as well. Further, with more and more companies and educational institutions shifting towards remote work and learning environments, the use of video chats, video presentations, video course materials, and video marketing collateral has also catapulted.

Repustate’s all-in-one sentiment analysis and video intelligence platform Repustate IQ gives you the ability to mine videos, both user-generated from social media and other web channels, as well as product, promotion, and your own video repository, for insights. It includes all the tools you need to get unmatched AI-enabled capabilities like instant video content analysis, search inside video, social media listening, and an extensive sentiment analysis dashboard for understanding your audience.

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