Authors: Sungjun Ahn, Hyun-Jeong Yim, Youngwan Lee, Sung-Ik Park

Published on: February 19, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2402.12412

Summary

• What is new: Shifts part of the content creation process onto the receiver using AI, introducing a novel media service model.
• Why this is important: The traditional multimedia ecosystem relies heavily on in-house production, leading to uniform content and viewer fatigue.
• What the research proposes: A media service model that uses AI video generators at the receiver’s end, utilizing semantic sources for super-personalized content generation.
• Results: Enhanced delivery efficiency and a more diverse, personalized viewing experience avoiding content fatigue.

Technical Details

Technological frameworks used: Semantic process framework

Models used: Generative AI models

Data used: Semantic sources including text descriptions, lightweight image data, and APIs

Potential Impact

Traditional media companies, streaming services, advertising firms, and content creation platforms

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