Eliminating cameramen distractions with AI to enhance live soccer broadcasts
What problem does KTU's new AI system address in soccer broadcasts?
KTU's new AI system addresses the issue of cameramen accidentally appearing in each other's shots during live soccer broadcasts, causing visual distractions and potentially leading to revenue losses for broadcasters due to viewer dissatisfaction. The AI system eliminates these visual distractions by detecting and segmenting cameramen in real-time, providing a more immersive and professional viewing experience.
How does the YOLOv8 model function in detecting cameramen?
The YOLOv8 model detects cameramen by dividing the image into a grid and predicting bounding boxes, class probabilities, and segmentation polygons for each grid cell. This enables it to identify and segment cameramen in real-time during live soccer broadcasts, allowing for their removal and a more immersive viewing experience.
What is the role of video inpainting in enhancing soccer broadcasts?
Video inpainting is used in enhancing soccer broadcasts by removing unwanted objects, such as cameramen, from the video frames. It reconstructs the lost or deteriorated parts of the images and videos, providing a more immersive and professional viewing experience. The modified frames are streamed back to viewers, ensuring a smoother and uninterrupted broadcast.