Image Processing: Algorithms and Systems continues the tradition of the past conference, Nonlinear Image Processing and Pattern Analysis, in exploring new image processing algorithms. Specifically, the conference aims at highlighting the importance of the interaction between transform-, model-, and learning-based approaches for creating effective algorithms and building modern imaging systems for new and emerging applications. It also reverberates the growing call for integration of the theoretical research on image processing algorithms with the more applied research on image processing systems.
Recently, various types of Video Inpainting models have been released. Video Inpainting is used to naturally erase the object you want to erase in the video. However, to use inpainting models, we usually need frames extracted from a video and masks and most people make these data manually. We propose a novel End-to-End Video Object Removal framework with Cropping Interested Region and Video Quality Assessment (ORCA). ORCA is built in an end-to-end way by combining the Detection, Segmentation, and Inpainting modules. The characteristics of proposed framework are going through the cropping step before inpainting step. In addition, We propose our own video quality assessment since ORCA use two models for inpainting. Our new metric indicates the higher quality of the results between two models. Experimental results show the superior performance of the proposed methods.
Image Processing: Algorithms and Systems continues the tradition of the past conference Nonlinear Image Processing and Pattern Analysis in exploring new image processing algorithms. It also reverberates the growing call for integration of the theoretical research on image processing algorithms with the more applied research on image processing systems. Specifically, the conference aims at highlighting the importance of the interaction between transform-, model-, and learning-based approaches for creating effective algorithms and building modern imaging systems for new and emerging applications.