Artificial intelligence promises to transform the media and entertainment business – impacting everything from content creation to the consumer experience.
It is poised to transform how audiences experience movies, TV shows, videos, games, and sports. Media professionals have realized that AI will improve productivity by automating multiple repetitive tasks and offer a competitive advantage. AI-based automation can help entertainers and content creators spend more time on their craft and deliver engaging content. AI will also help production houses make informed decisions about marketing and advertising by analysing critical data.
The advent of AI has numerous applications and positive ramifications for the media and entertainment industry. Let us take a look at some of these:
Movie Production
Movie production involves multiple elements such as screenwriting, script-breakdown, location scouting, storyboarding, generating shot-lists, budgeting, scheduling, recording, and editing. These tasks are carried out by collaborating with many film industry professionals. Hence, movie production is a complicated and time-consuming process. The advent of AI will help automate certain production procedures. It can offer a platform that can automate tasks such as breaking down scripts, storyboarding, generating shot-lists, creating schedules, and managing movie budgets.
AI-based software can also automatically sync and group recorded clips. With further developments, it may soon be able to create content independently. The research team at the Allen Institute for Artificial Intelligence have trained an AI model using over 25,000 videos of Flintstones. With this training, the AI model was capable of generating a fresh Flintstones video.
Automated Subtitles
Creating and synchronizing subtitles with lip movements in videos and movies can be a complex assignment. Even a slight delay in displaying the subtitles can result in audio and subtitles being out-of-sync. Also, in the case of big-budget films, subtitles have to be created in multiple languages for a global audience. By leveraging AI, filmmakers can simplify the entire process and reduce the odds of mistakes and de-sync between audio, video and sub-titles. AI can generate automated subtitles with the help of natural language processing. To create subtitles, AI systems can synthesize speech and analyse the vocabulary used in the dialogues with the help of neural networks. After the analysis, the system can generate accurate subtitles in multiple languages.
Besides, AI tools can help film industry professionals understand at which point in time should the subtitles be displayed and for how long. This not only speeds up the process but also makes it less cumbersome and more accurate.
Video Games
AI is commonly used in games to control non-player characters (NPCs). NPCs react to a player’s movement and actions. For example, in a first-person shooter, NPCs will shoot after seeing a player and retreat after being attacked. In modern games, the involvement of AI has become even more crucial. AI can analyse a player’s actions to predict their future moves. AI models can also identify changes in a gamer’s behaviour in specific scenarios. With this technology, NPCs in the game can adapt to any player’s behaviour even in vast open-world games. This makes playing video games a more immersive, interesting and challenging experience.
Sports Broadcast
Selecting entertaining shots and angles for sports activities during live broadcast can be challenging but rewarding as well. Visuals included in the live broadcast should help build an engaging narrative in a match. Hence, sports broadcasters need to carefully select which scenes and actions can be shown to deliver an interesting sports experience for the fans.
AI systems can be trained to identify objects and actions in sports events. It can also use footage captured by drones to deliver broadcast that offers engaging content as well as deeper sports insights. For example, in a football match, live footage developed by AI can capture adrenaline-fueled action as well as players’ and fans’ reactions after every goal. This not only helps deliver action-packed sports broadcasting but a truly engaging sports viewing experience.
Moderation
Every country and platform has certain regulations regarding which kind of content can be broadcasted. For instance, adult content cannot be shown on television, whereas streaming platforms such as Netflix allow adult content. Also, some specific countries may have different regulations for their content. For example, China has censored scenes in ‘Bohemian Rhapsody,’ where Freddie Mercury’s homosexual lifestyle was portrayed. Hence, broadcasters and streaming services need to carefully moderate and select the content that will be displayed on their platform.
AI can perform sentiment recognition and image and object analysis in movies and TV shows to identify sensitive content. Besides, AI systems can also use natural language processing to detect offensive language in dialogues. With this technology, streaming services and broadcasters can moderate content on their platform and provide suitable ratings such as 7+, 13+, or 18+.
Content Classification and Categorization
Online streaming platforms host many movies, TV shows, and songs. Streaming platforms have to optimize their search algorithms to help users find relevant content. AI can be very helpful in this endeavour. For this purpose, it can analyze objects and data about a specific type of content to include it in a particular category. For instance, AI systems can identify and analyze different objects in various scenes of a movie and details about its genre, cast, and crew to decide which category would be the most suitable. The process of automating classification and categorization of content becomes a lot simpler due to AI.
Personalization
Research suggests that consumers are demanding personalized content to suit their preferences and taste. To deliver personalized content, streaming services strive to get the correct recommendations across to the user. AI models can be trained using each consumer’s content preferences and viewing patterns. By collecting consumer data, these models can help the system or service offer personalized content suggestions that are tailored to the choices of every viewer.
AI can also be used to optimize video quality according to internet speed. In many developing countries, internet speeds and bandwidth limits are comparatively lower than that of the developed countries. To address this issue, AI can analyse internet connections of different viewers in various countries and compress videos without losing their quality to offer a buffering-free streaming experience.
Movie Marketing and Advertising
AI systems can be trained using large volumes of data such as images, videos, and text to identify and analyze objects, language, and design concepts. With the help of acquired data, AI can help design posters and videos to promote a movie. For instance, IBM’s Watson had created a six-minute long trailer for a horror movie called ‘Morgan.’ To generate this trailer, the AI system was trained using visuals and audio from 100 different horror movies. Using this data, Watson created a trailer in just twenty-four hours. Hence, AI can help production companies in their marketing campaigns or create content independently.
AR/VR App Development
In addition to the core implementation of AI in entertainment, it’s worth noting that AR/VR app development will also make this field more captivating and immersive, as we are already experiencing the use of AR in advertising. We will be able to get a 360° view of events that will allow having more enhanced and enriched experiences. AI will help us understand the feeling of the real and live event.
So, these are some of the applications and positive ramifications of AI in the media and entertainment industry. Needless to say, AI is transforming the media and entertainment space. It is for sure playing a major role in improving the efficiency of processes involved in the entertainment world. As per research spend on artificial intelligence in the media and entertainment industry is expected to reach almost US$1.86 Billion by 2025.
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