Multi Class Classification (Four-level Video Classification)

Multi-class classification (four-level video classification) is an advanced classification technique in the field of computer vision, aimed at automatically categorizing video content into multiple predefined categories. This task involves using deep learning models to extract and analyze complex features within videos, achieving precise multi-level classification. Its goal is to enhance the efficiency of video content understanding and management, and it is widely applied in areas such as video surveillance, content recommendation, and copyright protection, making it a valuable technology with significant practical importance.