New Three-Step Search Algorithm for Video Motion Estimation

This paper presents a new three-step search algorithm for video motion estimation, accompanied by complete source code and experimental datasets. The method represents an enhanced approach building upon existing research, incorporating innovative search strategies to improve both accuracy and computational efficiency in motion vector detection. Experimental results demonstrate robust performance across various video types and motion characteristics. The provided source code implements key functions such as block matching, search pattern optimization, and distortion calculation using Sum of Absolute Differences (SAD) metric. This open implementation enables researchers to better understand the algorithmic framework, facilitates method validation through the included test sequences, and promotes further development in video compression and motion analysis technologies. The code structure follows modular design principles with separate functions for initialization, search execution, and result verification, ensuring easy adaptation for different video standards and research requirements.