Key Frame Extraction Based on Inter-Frame Euclidean Distance

MATLAB implementation for key frame extraction utilizing inter-frame Euclidean distance. This method employs Euclidean distance to measure similarity between consecutive frames, effectively identifying essential frames in video sequences. The algorithm involves calculating Euclidean distances between adjacent frames, where frames exhibiting significant distance differences from their neighbors are designated as key frames. The implementation typically involves processing video frame data through matrix operations, computing feature vectors (such as color histograms or pixel intensity values), and applying distance thresholding techniques. Through this approach, we can efficiently extract the most representative frames from videos, facilitating subsequent analysis tasks like video summarization, content indexing, or compressed storage. The core MATLAB functions may include videoReader for frame extraction, pdist2 for distance calculations, and logical indexing for threshold-based key frame selection.