Bitstream-corrupted video recovery: a novel benchmark dataset and method

• Main Authors: Liu, Tianyi, Wu, Kejun, Wang, Yi, Liu, Wenyang, Yap, Kim-Hui, Chau, Lap-Pui
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Video Restoration; Bitstream Corruption
• Online Access: https://hdl.handle.net/10356/174533; https://proceedings.neurips.cc/paper_files/paper/2023
• Institution: Nanyang Technological University

The past decade has witnessed great strides in video recovery by specialist technologies, like video inpainting, completion, and error concealment. However, they typically simulate the missing content by manual-designed error masks, thus failing to fill in the realistic video loss in video communica...