Shaping Tomorrow’s Screen: How AI is Revolutionizing Video Editing and Media Engagement

by Ritu Bain, Senior Vice President, Revenue, VideoVerse

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Integrating Artificial Intelligence (AI) solutions has transformed and modernised the field of video editing, significantly enhancing efficiency and creativity. Initially, video editing was labour-intensive and required meticulous manual effort. While digital editing in the late 20th century streamlined these processes, AI has taken the transformation further. AI-powered tools allow creators to prioritise storytelling by automating tasks and enhancing creativity. On the consumer side, AI-driven algorithms deliver personalised content recommendations, ensuring immersive and tailored viewing experiences. The impact of AI on video editing and media consumption is transforming visual content engagement in a way never known before.

AI-Powered Video Editing Tools

AI in video editing has brought a groundbreaking revolution to VFX and CGI. The algorithms now generate realistic textures, simulate complex phenomena, and create entire digital environments with speed and accuracy, significantly reducing the time and cost of high-quality VFX. AI-driven tools automate tasks like rotoscoping, facial recognition, scene recognition, effects rendering, and colour correction, streamlining the workflow and enhancing creative efficiency. The transformation allows creators to focus more on storytelling and innovation.

Power of Storytelling

AI editing tools decimate time and effort in the editing room by revolutionising how footage is sorted, cut, and assembled. Advanced AI algorithms analyse footage to identify the best shots based on factors like composition, lighting, and player performance. They can even suggest edits that align with the emotional arc of a game, ensuring that each cut effectively serves the narrative purpose. A recent example of AI’s capabilities is a viral video of Lionel Messi speaking fluent English, which amazed many fans. However, upon closer inspection, it was revealed to be AI-generated. The original footage from Messi’s August 17th, 2023, press conference, where he spoke in Spanish, was identified using reverse image searches of keyframes. The AI technology flawlessly translated and synced his lip movements, seamlessly bridging language barriers worldwide.

Just for You

AI is customising content creation by analysing users’ preferences and viewing history to tailor experiences. It can create multiple versions of a trailer for different audience segments, recommend personalised playlists, suggest relevant content, and adapt video pacing and style to individual preferences. The personalisation enhances viewer engagement and satisfaction, making media consumption more immersive and enjoyable.  Recently The All England Lawn Tennis Club (AELTC) and IBM have used generative AI called the ‘Catch Me Up’ at Wimbledon to create automated, personalised catchup summaries, featuring AI-generated player stories, key statistics, and match highlights.

Intelligent Analysis and Suggestions

Did you know Spotify curates custom playlists from your listening history, leveraging algorithms to set high standards in providing unmatched personalised experiences? Artificial intelligence improves user experience by offering intelligent design recommendations and automatically customising templates to meet specific requirements, resulting in faster and more accessible video creation. By analysing datasets, it customises content to maximise engagement, igniting creativity and transforming ideas into reality.

Text to Script

AI tools amplify video production with script writing suggestions, drafts, storyboarding, and pre-visualisation. They improve lighting, colour schemes, and framing, and analyse audience metrics for better storytelling. Text-to-video generators automate, transforming text into video sequences, enhancing digital marketing, education, and entertainment. For instance, EduMastery used the AI tool Sora to automate video editing, improve content quality, and personalise learning experiences, significantly reducing production time and costs.

Tailored Viewing Experiences

Emerging technologies and gamification are revamping sports broadcasting. Traditional TV viewing declined from three hours and seventeen minutes in 2021 to two hours and fifty-one minutes in 2023, while streaming services surpassed broadcast TV. Gamification turns viewers into active participants with real-time polls and interactions, boosting engagement and monetisation. Advanced technologies like 8K cameras, robotics, and XR-based productions offer immersive broadcasts. AI, machine learning, VR, and AR optimise real-time data and decision-making, enhancing interactivity. 5G-enabled IoT devices, like those used by Verizon for Team Penske in the Indianapolis 500, revolutionise sports by aiding athletes in making quick decisions.

Enhanced Advertising and Marketing

AI is also transforming advertising and marketing within the media industry. For example, streaming platforms use AI to deliver targeted ads based on user demographics and preferences. The targeted approach ensures that viewers see ads that are relevant to them, enhancing the effectiveness of advertising campaigns and improving the user experience.

Human Creativity and AI Collaboration

Despite AI advancements, the human touch remains essential in video editing. Human creativity and emotional intelligence are crucial for crafting impactful stories. Editors bring an understanding of emotional cues and cultural nuances, vital for relevant content. Artistic flair and innovative ideas, such as unique stylistic elements and creative transitions, stem from human imagination. AI complements these creative capabilities, thereby enhancing the overall quality of the final product.

Conclusion

AI is transforming video editing and media engagement by automating routine tasks and providing intelligent insights, allowing creators to focus on storytelling and innovation. Personalised content recommendations enhance viewer engagement and satisfaction. As AI advances, it will reshape the media landscape, making video editing more intuitive and dynamic. Embracing the transformation will enable us to fully harness AI’s potential in revolutionising media engagement and video editing.

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