Most of us are familiar with the frustration of stumbling across movie descriptions, recommendations, or comments that reveal more than we would like. An even worse scenario occurs when, midway through a series, you accidentally encounter a spoiler about the ending. While this disappoints viewers, it also poses a challenge for creators, as spoilers often reduce audience engagement and interest. One of the solutions is AI summarization tools.
AI Summarization Tools Capabilities
AI, as in many other industries, can offer solutions to the entertainment sector. By processing vast amounts of information and understanding the context of text, AI can tackle the spoiler problem.
Amazon recently introduced a new feature called X-Ray Recaps1, which uses AI to generate summaries of individual episodes or entire seasons. Importantly, this feature is equipped with safeguards to avoid spoilers, providing only standard summaries of movies or series. This tool is particularly useful for users who like to delve into the content they’re watching without risking spoilers.
Amazon Prime TV continues to expand its functionality. First, Amazon video streaming platform allows users to pause a scene and access information about the actors or other relevant details. Second, it offers an advanced review feature with three modes: real-time summaries of the current episode, overviews of previously watched episodes, or summaries of upcoming seasons.
AI summarization tools are powered by AI models developed with Amazon Bedrock and Amazon SageMaker. By analysing video content, subtitles, and dialogues, these models generate summaries in real-time, offering users a highly personalized experience tailored to their specific viewing context.
Google TV2 is also planning similar changes, incorporating a feature to generate descriptions of movies and TV shows. These descriptions will be translated into the viewer’s native language, enhancing the overall user experience.
Additionally, there are AI tools capable of detecting spoilers and warning viewers about them. One such tool, SpoilerNet, uses neural networks and has been trained on 80% of Goodreads reviews, achieving an accuracy rate of 74–80% in identifying spoilers.
How Else Can AI be Utilized in The Entertainment Industry?
AI summarization tools can be applied beyond TV shows, series, or movie summaries. It can also transform other areas of entertainment. For instance, video content providers like YouTube, Netflix, and Amazon Prime Video use machine learning systems to offer personalized recommendations. This ensures that each target user’s expectations are met with remarkable precision. Similarly, AI tools can analyse user profiles and behaviours to deliver personalized, audience-specific advertisements.
AI is also being leveraged to generate new plotlines, create scripts, and perform tasks traditionally done by human resources. It can even develop video content by generating specific scene motifs or combining them into a cohesive narrative. While such capabilities are still in their early stages, they promise a transformative future, raising both excitement and concerns among industry stakeholders.
Disney already employs AI for creating animated elements and various effects. These tools are not yet standalone production processes but act as supportive aids for animators.
Final Word
Properly designed and implemented AI models can ease many challenges faced by creators by offering automated solutions. For example, AI summarization tools not only enhance user experiences through personalized recommendations and comprehensive film summaries but also provide innovative solutions for creators, paving the way for a more efficient and dynamic entertainment industry.
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Source: Jacobs School of Engineering, Miquido, TechCrunch1, TechCrunch2
