Keyframe Extraction Algorithm for Video Summarization and Content Analysis

Algorithm 1 demonstrates the main steps of extracting keyframes from a video sequence. The input to the algorithm is a video file, and the output is a set of keyframes that capture the most representative frames from the video. The algorithm starts by reading the video file and extracting frames from it. Next, it computes the feature vectors for each frame using a feature extraction technique. These feature vectors are then compared with a similarity measure to identify the frames that are most similar to each other. The frames with the highest similarity scores are selected as keyframes. Finally, the selected keyframes are saved and returned as the output of the algorithm. Algorithm 1 provides a systematic approach for extracting keyframes from a video, making it a useful tool for video summarization and content analysis tasks.