What Artificial Intelligence (AI) May Change the Video Production Business

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Artificial intelligence (AI) has evolved from a purely academic concept to a critical technology for enterprises across all industries. In the video industry, AI has evolved into a vital tool for content analysis, automatic editing, and tailored suggestions.

The AI-powered content analysis identifies the topics covered in the video and the participants’ emotions. This information can be used to enhance the video content and make it more appealing to the audience. Furthermore, AI can make video editing suggestions by automatically detecting the most significant sections of the film and providing a summary of them.

Artificial Intelligence (AI) in a Nutshell

Artificial intelligence (AI) refers to technologies that closely replicate cognitive processes such as learning, reasoning, comprehension, and problem-solving. AI can digest vast amounts of data so quickly that it allows for new insights in areas where human capacity is constrained. 

AI is already disrupting many industries worldwide, including the video business. AI can disrupt the video industry in three ways: content analysis, automated editing, and tailored suggestions. 

Content Examination

AI may be used to evaluate video content marketing to detect the topic and sentiment. AI can also recognize other crucial elements such as individuals in the video, objects presented, and any writing or voice.

One example is “Data.gov,” a project created by Barack Obama’s Open Government Initiative that uses numerous AI technologies to evaluate footage of the president’s speeches.

It is now feasible to search for specific terms in presidential speeches and discover relevant video clips using this technique. This makes it easier for academics to research these orations.

AI can also be used to assess information such as where a video was shot, who appears in the video, and what is presented. AI recognizes people by comparing their faces to a pre-existing database and determines objects based on their looks. 

Businesses can use AI to evaluate the content of instructional videos uploaded on Facebook and allow them to learn about consumer preferences and behavior. This technology can further assist companies in producing more relevant and targeted content.

Content Editing 

AI may be used to edit videos by automatically recognizing the most significant sections of a video and providing a summary of it. Organizations can save time and money by decreasing manual editing using AI.

For example, Google’s Image search result uses AI to automatically generate images by identifying the best-matched photos uploaded on the internet. AI also helps with content editing, like on TikTok videos and reels on Instagram, where users can automatically edit freshly shot videos on this platform.

Personalized Suggestions

AI can be used to provide viewers with customized recommendations. AI can recommend videos that people like by evaluating viewers’ watching behavior. This can help businesses enhance video viewership and engagement.

Netflix is an excellent illustration of how personalized recommendations may boost viewer engagement. In order to offer videos likely to interest particular viewers, Netflix employs a method known as “Personalized Recommendations.”

Netflix’s algorithm considers viewers’ viewing behavior, like what show they love, and uses an hours tracker to monitor the time they spend on the website. That way, Netflix can recommend videos that users enjoy watching by showing them on their homepage.

The Impact of Artificial Intelligence on the Video Industry

AI has the potential to transform the video production industry by assisting businesses in creating better content while saving time and money. AI transforms video editing and production in a variety of ways.

Here’s a closer look at how AI influences video production, editing, and viewing.

#1. Video Enhancement

AI reduces business costs by automatically editing videos. This technique has become increasingly popular with the emergence of automated video editing technologies like Powtoon, InVideo, Renderforest, and Animaker. This program is gaining popularity among video creators because of its ease of use and ability to generate high-quality videos without the need for extensive manual editing.

Furthermore, these apps can generate video modifications in significantly less time than manual editing. This ability helps organizations cut off so many editing costs and produce more content.

#2. Video Synthesis

Another method AI can save time is by summarizing videos for the audience. This is accomplished by identifying and summarizing essential elements of a video. A platform like Facebook has used AI to help with its video translation.

This technology summarizes a video into a few phrases displayed as text before it begins playing. Using AI to provide subtitles or captions can give users a fast experience of watching videos before they click/select the subtitle button. Facebook and YouTube use these auto-generated captions in hopes of getting more viewership from many countries with different languages.

#3. Video Curation 

AI assists viewers in curating videos by giving customized recommendations. AI will assess the viewer’s watching patterns and recommend videos they love.

For the past few years, video streaming services like Disney Hotstar has used AI for this purpose. The “Top Picks For You” feature of the company recommends related content based on what customers have watched. Disney will use a time tracker to find how many hours users spend on its platform. That way, the company can learn what show people are watching and love the most. Then, it can recommend similar movies on users’ dashboards. 

#4. Visual Identification

Artificial intelligence is also being used to distinguish things in videos. This is accomplished through computer vision, a branch of Artificial Intelligence that deals with image recognition and interpretation. Facebook has been utilizing this technology for some time to help identify persons in videos as well as context indicators such as the type of event that is taking place.

Facebook also uses AI to detect the viewers’ “Clear History,” which allows them to check which videos are deleted from users’ apps. This helps Facebook to determine what content was loved the most and what was not. This functionality is crucial for corporations because it allows marketers to track the effectiveness of their video campaigns.

#5. Video Material 

AI can also be used to enrich and personalize video content for users. This can be done through the use of machine learning techniques such as computer vision and natural language processing (NLP). AI can recognize objects and situations in a video using computer vision.

This data can then be utilized to build metadata, which can help enhance the searchability and comprehension of the video itself. By producing closed captions from the spoken words in a video, NLP makes videos more accessible.

For example, Artificial Intelligence was recently utilized to add closed captions to hundreds of Twitter videos to make them more accessible.

Artificial Intelligence’s Future in the Video Industry

While the usage of AI is becoming more popular for businesses in a variety of industries, video production offers particular prospects in this space. Since videos include so much rich data, AI-generated insights are more valuable than other types of material.

Furthermore, by employing machine learning approaches, AI builds metadata that will improve searchability, make personalization recommendations, describe videos, and create personalized thumbnails for videos. As a result, video production businesses will continue to embrace AI to expand their operations and cut off their costs.

Bottom Line

Artificial Intelligence (AI) usages are expanding with continually growing technology. AI’s capacity to save time and money makes it a valuable business tool, and its ability to deliver individualized recommendations enhances viewing.

AI makes a great personalized suggestion tool for viewers. AI can recommend videos that people enjoy the most by evaluating viewers’ watching behavior. This can help companies enhance video viewership and engagement.

In brief, AI has the potential to transform the video industry by assisting businesses in creating better content, saving time and money, and increasing viewer engagement. Furthermore, its usage for detecting objects in videos helps enhance video editing accuracy. These are some reasons why AI is a crucial component of the video industry.

Author

Andre Oentoro is the founder of Breadnbeyond, an award-winning explainer video production company. He helps businesses increase conversion rates, close more sales, and get positive ROI from explainer videos (in that order). 

Twitter: @breadnbeyond

Email/Gravatar: andre@breadnbeyond.com 

LinkedIn: Andre Oentoro

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