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.
AI-Powered Game Observers
South Korean Researchers Debut Model for an AI-Powered Esports Observer
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
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