This category contains 1 granted patent, filed by Gwangju Institute Of Science And Technology.
The patent covers an AI system designed to predict which areas of an esports game screen viewers are most likely to want to watch, drawing on input from multiple human observers to train the model. Gwangju Institute Of Science And Technology developed this technology to enable automated camera direction for esports broadcasts, removing the need for manual control of viewpoint selection.
Gwangju Institute Of Science And Technology received 1 patent covering an approach to automated broadcast direction for esports. Rather than programming explicit rules to trigger camera cuts based on in-game events, the system learns directly from the viewing patterns of crowdsourced human annotators, building a model that can predict where viewers want to look across game situations it has never encountered before. The method uses Mask R-CNN to capture masked region data and organizes on-screen objects by type across multiple channels, a preprocessing strategy designed to handle the visual complexity particular to game environments.
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