Video Sequence Motion Estimation and Compensation Algorithms

This project implements motion estimation and compensation algorithms for video sequences using MATLAB. The implementation includes key functions such as block matching algorithms (e.g., Full Search, Three Step Search) to accurately estimate motion vectors between consecutive frames. The motion compensation process then uses these vectors to predict current frames from reference frames, reducing temporal redundancy. Through these algorithms, precise motion estimation within video sequences is achieved, followed by appropriate compensation. This approach significantly enhances video quality and stability by reducing motion artifacts and jitter, resulting in smoother and more comfortable viewing experiences. The MATLAB code includes functions for frame difference calculation, motion vector field generation, and compensation error analysis, providing a comprehensive toolkit for video processing applications. Key implementation aspects include: - Frame preprocessing and block partitioning - Motion vector computation using different search patterns - Compensation accuracy evaluation through PSNR metrics - Handling of various motion types and speeds