An improved motion-search method based on pattern classification

An improved motion-search method based on pattern classification is proposed in this paper. A new feature representing the maximum motion around the current block is introduced, allowing more precise description of the motion characteristics of the block. Ada-Boost classifiers can correctly classify the harder-to-classify samples by increasing the weights of misclassified samples, so are adopted to replace the original linear classifiers. Experiments show that the improved method has lower temporal cost in motion estimation search while providing the same image quality.