Description: Action segmentation is the process of dividing a video into segments that correspond to different actions. This approach allows for the identification and classification of various activities occurring in a video, thus facilitating its analysis and understanding. Action segmentation relies on video processing techniques and machine learning, where algorithms are used to detect changes in visual and auditory content. Through this technique, relevant features of each segment can be extracted, such as duration, type of action, and the context in which it occurs. Action segmentation is fundamental in applications that require a detailed understanding of audiovisual content, such as surveillance, human-computer interaction, and multimedia content creation. Additionally, it enhances video accessibility by facilitating the search and retrieval of specific information within large volumes of visual data. In summary, action segmentation is a key tool in video analysis that allows for the decomposition and better understanding of the dynamics of the activities represented in audiovisual material.
