Videos have become an important part of our present and, by the look of it, are going to be an integral part of our future too.
Let’s look at some statistics demonstrating the importance of video content for a website and an app. 72% of customers would rather learn about a product or service by watching a video. Viewers can remember 95% of a message when they see it in a video compared to 10% when reading it in text. 62 per cent of people become more interested in a brand or product after seeing it in a Facebook video story.
Many video creators have found the process of creating and editing videos to be lengthy and time-consuming. This problem has driven the demand for a technology which could automate some of the routine activities video creators perform. AI video editing has made this wish come true.
This article will consider how AI video editing can contribute to the video creation process, mentioning the examples where it’s already being applied and closing in with a discussion whether the AI technology can completely replace human video editors.
How AI Video Editing Can Benefit The Content Curation Process?
There is a manual video editing and there is AI video editing. Conventional video editing software will need manual instructions and a lot of technical know-how. AI video editing makes the process of creating interesting and engaging videos a lot easier.
The respective software uses the power of computer vision and convolutional neural networks to extract, interpret and understand the content of the video, apply the required video effects and optimize the quality of the resulting content.
This is an example of how AI video editing process works:
- Step 1. Visual Analysis of every video frame. This includes video object detection, environment recognition, motion saliency, object separation and speech analysis.
- Step 2. Storytelling. This includes Identifying the main character(s) in a video, reordering them by context, omitting any poor or irrelevant footage, determining important audio content, selecting the best parts of the video and implementing other comprehensive methods to best tell a video story.
- Step 3. Post-production. The AI technology can utilize smart colour correction and serve graphic elements based on content analysis, implementing background effects to highlight important video objects and applying other video enhancements.
AI technology can contribute to the video creation process in the following ways:
- Automating expensive workflows. Video creators can reduce time and costs associated with transcribing videos and generating closed captions to make sure their content can be accessed by a broader audience.
- Filtering out inappropriate content. Due to its ability to understand the content, AI video editing will help app owners control what their users are posting and filter out any inappropriate content. This functionality is already being deployed by Youtube to remove objectionable content even before it’s seen online.
- Improved video quality. AI can automatically apply colour correction, object removal, image stabilization and other necessary actions to improve the content of the video.
- Simplified video management process. AI can help app users extract metadata that can be used to index, organize and search for video content within an app.
- Video content categorization. AI algorithms can automatically categorize videos based on different characteristics. As a result of that, video sharing platforms can utilize the up next functionality used by Youtube to increase the number of videos watched by a single viewer.
Where AI Video Editing Is Being Used
Creating videos with Face AR effects
AI video editing allows users to create videos like in TikTok which can be augmented with Face AR filters, animated backgrounds and AR overlay features. This makes the former more interesting, engaging and unique.
Our Video Editor SDK allows developers to integrate AI video editing functionality in their apps to help their users create AR-powered video content with just a tap-hold.
Banuba’s AI Video Editor SDK.
Dynamic advertising
AI video editing used in advertising can deliver dynamic ads based on the geography, language, and demographics of the user. Video content producers can structure the creation of their videos in such a way that specific geo-locations will be used as placeholders for advertisements. AI technology can dynamically place products into these placeholders based on a range of different factors.
Colour matching
Think of a travel video where a drone, mobile phone, and DSLR might be used in a single video. The problem video creators might face is that these different cameras might shoot videos of a different quality. The colour match feature introduced by Adobe for its AI platform Sensei automatically matches colours of the videos taken by different cameras using the AI technology.
Overview of Adobe Sensei.
Creating a video from text
AI technology can generate videos from texts. By typing out a simple phrase, AI could make a video about the scene you’ve described there. The process works with AI and machine learning combining to study many videos and learning to associate different phrases with different motions.
How text can be translated into a video using AI.
Recognition of Faces And Emotional Data
AI video editing software can recognize sentiments and emotions from facial expressions and speech, either from recorded videos or live feed. This enables the creation of individual face galleries or the use of a particular face for identification purposes.
An example of Face and Emotion Recognition in a video.
AI-Generated Short Videos for Video Content Promotion
The AI video editing software can also be used to automatically extract video portions from specified sources. This latter is analyzed to determine content highlights based on the actions, the presence of people, activities and emotional engagement. This lets creators automatically create promotional materials, movie previews and much more.
An example of the movie trailer created by AI.
Can AI Video Editing Replace Content Creators?
While AI is already showing up in many aspects of video production, it isn’t advanced enough to completely replace the human editor. The latter plays such a crucial role in the actual storytelling of a film because unlike machines, human beings:
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Possess creativity. While ML and AI can bring life to the creative ideas of their users, they are still limited in their abilities to explore new ways of creating video content. As it was noted by Harvard Business Review in April of 2017, the fastest modern supercomputer couldn’t list or explore all the features of an object/thing even if it had started working on the problem way back in the 1950s .
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Have personal perceptions of their own experiences. Unlike us, machines lack storytelling capabilities. They cannot interpret a video in a unique way
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Can understand emotions. What machines also don’t have is the understanding of the data within its context. Human beings can on the other hand see a bigger picture by understanding where the sensitivities lie and how to make decisions based on involved emotions.
Conclusion
AI video editing can simplify the content curation process by automating some of the routine and repetitive activities human editors need to do.
Some of the advantages of using this technology include the possibility to automate expensive workflows, control video content, improve video quality, simplify video management processes and perform precise video analysis.
AI video editing isn’t advanced enough to completely replace a human editor. Both the tech and the human touch can complement each other and take the user experience from seeing a video to another level.