In the digital age we live in, video content is used as an interesting and effective communication tool. Video content is an important communication tool for many people, such as content creators, marketers and business owners, to mobilize the audience.
In this article, I will explain how you can use artificial intelligence to increase interaction by creating effective and interesting video content. I will talk about 10 methods that will enrich your video content, from personalized video content to real-time translations with artificial intelligence support. Let’s examine 10 ways to activate your audience with your video content.
Personalized Recommendations
Using artificial intelligence algorithms, personalized video content is recommended based on viewers’ viewing history and preferences. Personalized suggestions keep the audience’s interest high. You can leverage AI to improve user engagement, watch time, and user experience.
An example of this is YouTube’s recommendation algorithm. YouTube’s algorithm analyzes the user’s viewing history and searches and suggests additional videos that may be of interest, thus keeping users on the platform and allowing them to watch more content.
Source: YouTube Official Blog
You can take advantage of YouTube’s API for personalized recommendations. Apart from this, you can use recommendation algorithms in programming languages such as Python with libraries such as Surprise or LightFM.
Automatic Video Editing
Video editing is a time-consuming task. Automated video editing is the use of artificial intelligence tools and algorithms to streamline the video post-production process. With these tools and algorithms, you can crop, cut and edit videos automatically. Additionally, you can add video effects and improve video quality.
For example, Magisto is an AI-powered video editing tool connected to Vimeo. The tool uses machine learning to edit videos. Magisto can analyze a long content, select the best moments and make transitions accordingly. In addition, it also selects music appropriate to the content. Another example, Adobe Premiere Pro, offers AI features such as “Auto Reframing” to adjust video compositions for different sizes.
Using artificial intelligence-supported tools in video editing prevents you from wasting time and allows you to produce content quickly. Tools that use artificial intelligence create a layout in line with the brand identity. In addition, it makes things easier for people who do not have much knowledge about video editing.
Dynamic Content Generation
Dynamic content production with artificial intelligence is creating video content based on various factors such as audience interaction, real-time data and personal information. In this way, videos become interesting and personalized.
Lumen5 is an AI-powered platform that turns articles, blog posts, and other textual content into engaging videos. After users enter the text content they want to convert into a video into the platform, artificial intelligence identifies the important parts, finds the relevant images and turns them into a clip. He also selects the appropriate music for these clips.
You can benefit from artificial intelligence models such as TensorFlow or PyTorch for dynamic content production. These models can be designed to analyze user data and create video content accordingly.
With dynamic content production, viewers can have a personalized experience by offering more relevant and interesting content. By allowing real-time interactions in video content, viewer interest is increased. In addition, dynamic content production thanks to artificial intelligence provides efficiency by reducing your manual applications.
Real-Time Language Translation
Real-time language translation of video content is the use of AI-powered tools to translate spoken words or subtitles from one language to another in a live video stream.
For example, TED Talks, known for its educational and inspirational talks, uses real-time language translation to deliver its content to a global audience. TED Talks offers multiple subtitle options for their videos, allowing viewers to watch the video in the language of their choice. To do this, you can click on the settings in a TED Talks video and select the language you want. After making your selection, you can start watching the video in the language you want. TED Talks uses artificial intelligence to provide accurate real-time language translation.
For real-time language translation, you can use platforms such as Google Cloud Speech-to-Text and IBM Watson Language Translator.
By leveraging artificial intelligence in real-time language translation, you can reach a global audience and increase audience engagement with the content.
Interactive Elements
Interactive elements in video content allow the viewer to interact directly with the video. Clickable features, annotations and overlays are used for this. In this way, audience interaction and participation increases.
For example, in the video prepared for Honda, the aim was to show that the Honda Civic is both an excellent family car and a great getaway vehicle. The video prepared with WIREWAX is called “The Other Side” and allows the car user to experience two separate realities at the same time. When you press and hold the letter “R” while watching the video, you go to an alternative reality. The reason for using the letter R is a reference to Honda’s new model at that time, the Civic Type R. During the period when this video was published, viewers spent approximately 3 minutes on the video and Honda Civic’s website traffic doubled.
In addition to YouTube, video platforms such as WIREWAX, now affiliated with Vimeo, can be used to create interactive elements in video content.
With interactive elements, the audience can become more interested in the content. Viewers interacting with video content helps collect data on feedback and preferences.
Automatic Transcription and Subtitling
Automatic transcription of video content is the use of artificial intelligence-supported tools to convert the words and sounds in the video into written text in the form of subtitles or titles. In this way, video content can become more accessible and SEO friendly.
Coursera is an education platform and uses automatic transcription to add captions to its video lectures. It uses Speech Recognition (ASR) technology for this. In this way, course content becomes accessible to non-native English speakers and hearing-impaired individuals.
For automatic transcription, you can use Rev.com, Sonix, or Google Speech-to-Text tools. In addition, HiChatbot is an artificial intelligence-powered chatbot that allows you to answer your questions about YouTube videos. With the tool, you can learn summary information, keywords and more about the YouTube video you want.
With automatic transcription, accessibility is increased for many users, indexing by search engines is achieved, SEO is improved, and the audience experience can be improved.
Sentiment Analysis
Emotion analysis in video content is the use of artificial intelligence to detect and interpret voice tones and facial expressions to measure viewers’ emotional reactions. Thanks to sentiment analysis, interpretations can be made about what emotions the video content evokes in the viewer and the content can be adapted accordingly.
For example, Realeyes is a company that specializes in sentiment analysis in the advertising industry. The company uses artificial intelligence and facial recognition technology to measure viewers’ emotional reactions while watching an ad. Realeyes collects video data, which includes recordings of viewers watching content via webcams, mobile devices, or in-person studies. The algorithm used by the company identifies facial expressions and emotions by detecting facial features such as eyes, eyebrows, mouth and nose in the video.
For emotion analysis, you can use artificial intelligence-supported tools such as Affectiva, Microsoft Azure Cognitive Services Emotion API and IBM Watson Tone Analyzer. In this way, you can detect the emotions in the videos and adapt your content accordingly.
Automatic Thumbnail Creation
Automatic thumbnail generation is the use of artificial intelligence technology to analyze video content and create relevant thumbnails. These images are used as the cover art for the video to entice viewers to watch and click.
Netflix uses artificial intelligence to personalize the thumbnails that display content based on user preferences. The platform analyzes viewing history, genre preferences and interactions with the help of artificial intelligence. It then dynamically creates thumbnails for movies, series and TV shows suitable for the user. Thumbnails highlight specific actors, scenes, and elements relevant to their interests.
You can review the document to examine how Netflix progresses this process.
Artificial intelligence-supported graphic design tools such as Adobe Sensei and Canva offer automatic thumbnail creation. These tools analyze video content and suggest or create thumbnails that are interesting and relevant to the video content.
Personalized and automatic thumbnails improve the user experience by making the content more interesting. In this way, content compatible with user preferences is discovered.
Video Performance
Using AI tools to evaluate video performance helps evaluate how well video content performs on audience engagement, retention, and other metrics.
Twitch is a live broadcast platform focusing on games. The platform offers broadcasters an AI-powered analytics tool that uses machine learning to monitor the performance of their live streams and videos. Twitch’s analytics dashboard includes various metrics such as concurrent viewers, chat activity, follower growth, and viewer demographics. It also provides information about each broadcast’s peak viewing rate, average duration, and engagement levels.
You can review this content for detailed information about Twitch Analytics.
You can use artificial intelligence-supported tools such as VidIQ and Tubular Labs to measure the performance of video content. In this way, you can optimize video content and personalize and improve the viewer experience with the insights you gain from analysis.
Improved Video Quality and Visual Effects
Video quality and visual effects developed with artificial intelligence increase the quality of video content. This includes color correction, quality enhancement, noise reduction and the use of visual effects.
NVIDIA has developed artificial intelligence-supported video upscaling technology. NVIDIA’s video upscaling technology can upscale low-resolution video content from 720p to 4K. It uses deep learning algorithms for this. Artificial intelligence analyzes video quality and makes necessary adjustments on issues such as sharpness and clarity.
You can use Adobe After Effects with the DeepDream artificial intelligence plug-in to improve the quality of video content and add visual effects.
Using artificial intelligence technologies to improve video quality and use visual effects increases visual appeal, provides cost efficiency as it does not require manual editing, and allows you to produce more creative works.
