Reading Frame-by-Frame Image Data from AVI Videos

This documentation explains how to use the "readavi.m" function in MATLAB to extract image data from each frame of AVI video files. This utility function provides an efficient approach for video data processing and subsequent analysis. The implementation leverages MATLAB's VideoReader class or similar video handling mechanisms to sequentially access video frames. When called, the function automatically handles video file I/O operations, frame decoding, and data conversion, returning the image data as MATLAB arrays (typically in uint8 format for standard videos). Key algorithmic steps include video stream initialization, frame-by-frame iteration using while loops or frame indexing, and RGB data extraction for color videos. The extracted frame data can be stored in multidimensional arrays or cell structures for further processing tasks such as motion analysis, object detection, or image enhancement. Understanding this frame extraction methodology is crucial for video processing applications as it enables researchers to access raw pixel information while maintaining temporal sequence integrity. The function's straightforward interface makes it particularly valuable for computer vision projects and video analytics workflows.