Video Segmentation Implementation Using MATLAB
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Resource Overview
This MATLAB implementation performs video segmentation by reading video frames, comparing similarity between adjacent frames, dividing images into blocks, and analyzing block-level similarities using difference calculation and histogram comparison techniques.
Detailed Documentation
This document presents a MATLAB-based implementation for video segmentation. The code utilizes MATLAB's VideoReader function to extract individual frames from video files. For similarity analysis between consecutive frames, the implementation calculates frame differences using pixel-wise subtraction and employs histogram comparison methods to quantify visual changes. Additionally, the algorithm incorporates image blocking techniques where each frame is divided into smaller regions using matrix partitioning. For each block, similarity metrics are computed separately, allowing for more granular analysis of localized changes within the video. This block-based approach enables more precise video data processing and facilitates the extraction of meaningful temporal patterns through structured frame comparison and regional similarity assessment.
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