Video color conceptualization using optimization

Color conceptualization aims to propagate"color concepts"from a library of natural color images to the input image by changing the main color.However,the existing method may lead to spatial discontinuities in images because of the absence of a spatial consistency constraint.In this paper,to solve this problem,we present a novel method to force neighboring pixels with similar intensities to have similar color.Using this constraint,the color conceptualization is formalized as an optimization problem with a quadratic cost function.Moreover,we further expand two-dimensional(still image)color conceptualization to three-dimensional(video),and use the information of neighboring pixels in both space and time to improve the consistency between neighboring frames.The performance of our proposed method is demonstrated for a variety of images and video sequences.