Video Content Restoration in the Wild: Challenges and Opportunities

摘要

With the wide deployment of visual capture systems, video content restoration plays a key component in the video processing pipeline. We will review the main video content restoration technologies developed in the past decades, including both conventional and deep learning-based solutions. We will highlight the limitations of existing methods, discuss the challenges for the real-world captured video use cases, and point out the potential future research directions.