[POSTER] Content Completion in Lower Dimensional Feature Space through Feature Reduction and Compensation

Abstract

A novel framework for image/video content completion comprising three stages is proposed. First, input images/videos are converted to a lower dimensional feature space, which is done to achieve effective restoration even in cases where a damaged region includes complex structures and changes in color. Second, a damaged region is restored in the converted feature space. Finally, an inverse conversion from the lower dimensional feature space to the original feature space is performed to generate the completed image in the original feature space. This three-step solution generates two advantages. First, it enhances the possibility of applying patches dissimilar to those in the original color space. Second, it enables the use of many existing restoration methods, each having various advantages, because the feature space for retrieving the similar patches is the only extension. Experiments verify the effectiveness of the proposed framework.