South Korean Researchers Debut Model for an AI-Powered Esports Observer
References: sciencedirect & esportsinsider
A framework for an AI-powered in-game observer explicitly designed for esports competitions has been created by researchers from the Gwangju Institute of Science and Technology (GIST) in South Korea. The framework combines an object detection method and data from human observation to identify the area of a broadcast that will attract the most viewers. Instead of considering in-game elements like people or buildings as the object, the framework innovates by treating the area that spectators view as the object.
This framework can be applied to various games that “can obtain the game state, such as a minimap, and the area viewed by a spectator is part of the game state.” This will allow esports organizations and tournament hosts to arrange a cheaper observation option for smaller tournaments that cannot afford to pay a real person for the role.
Image Credit: Gorodenkoff
This framework can be applied to various games that “can obtain the game state, such as a minimap, and the area viewed by a spectator is part of the game state.” This will allow esports organizations and tournament hosts to arrange a cheaper observation option for smaller tournaments that cannot afford to pay a real person for the role.
Image Credit: Gorodenkoff
Trend Themes
1. AI-powered Game Observers - The development of AI-powered game observers can revolutionize the esports industry by offering a cheaper alternative to human observers.
2. Object Detection for Esports Broadcasting - The integration of object detection method and human observation data in esports broadcasting can lead to a more engaging and viewer-friendly experience.
3. Game State Analytics - The use of game state analytics can help uncover valuable insights into esports competitions, leading to new opportunities for strategy optimization and data-driven decision-making.
Industry Implications
1. Esports - The AI-powered game observer framework will disrupt the esports industry by offering a cheaper and more efficient option for tournament observation.
2. Artificial Intelligence - The development of AI-powered game observers can open up new possibilities for the use of AI in industries beyond gaming, such as sports broadcasting and security surveillance.
3. Data Analytics - The integration of game state analytics into esports broadcasting can pave the way for new applications of data analytics in sports and entertainment industries.
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