Pixel similarity based Betacam dropout detection of degraded archived media in instant QC system

Kiok Ahn, Gihun Song, Md. Tauhid Bin Iqbal, Jaemyun Kim, Oksam Chae

Abstract: We propose a pixel similarity based Betacam dropout detection method. Proposed method aims at detecting errors, having vertically similar pattern without considering sequential frame when archiving a tape-based content to a file-based system. Moreover, this method works along with a real-time instant Quality Control(QC) system with less false-alarm.