
During August 2025, Haeun developed the CV_Soccer video highlight extraction system within the KU-BIG/KUBIG_2025_FALL repository, delivering an end-to-end pipeline for automated soccer video analysis. The project combined Python and Bash scripting with deep learning frameworks such as PyTorch and TensorFlow to process video and audio data, extract features, and train fusion-based models for action spotting and highlight generation. Haeun implemented scalable pipelines for data loading, model training, inference, and evaluation, supporting iterative improvements. The work demonstrated depth in integrating computer vision, audio processing, and machine learning, resulting in a robust system for generating soccer game highlights automatically.

August 2025 monthly summary for KU-BIG/KUBIG_2025_FALL: Delivered the CV_Soccer video highlight extraction system and established an end-to-end pipeline for soccer video analysis, enabling automated highlight generation and action spotting from soccer games.
August 2025 monthly summary for KU-BIG/KUBIG_2025_FALL: Delivered the CV_Soccer video highlight extraction system and established an end-to-end pipeline for soccer video analysis, enabling automated highlight generation and action spotting from soccer games.
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