MATLAB-based Full Search Algorithm Implementation for H.264 Video Encoding
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This paper presents a MATLAB-based full search program designed for H.264 video encoding applications. The program implements an exhaustive search algorithm to identify optimal motion vectors, thereby enhancing video encoding quality. The implementation systematically evaluates all possible motion vectors within a defined search window to determine the best matching block, minimizing residual errors between frames. Key components discussed include the motion estimation algorithm structure, encoder parameter configurations, and search range optimization techniques. The MATLAB code structure features modular functions for block matching, sum of absolute differences (SAD) calculation, and motion vector refinement. We further examine how this implementation improves encoding efficiency through computational optimization strategies while maintaining high visual quality standards. The program includes configurable parameters for search window size, block dimensions, and quantization settings to accommodate various video compression requirements.
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