An Adaptive Information Collection Method for Collect Evidence of OTT Content Illegal Distribution Platform
Year: 2024
Type: article
Abstract: This paper proposes an end credits-based method for recognizing illegal streaming videos to address the escalating issue of unauthorized distribution of digital video content in line with the expansion of OTT platforms.Traditional methods for identifying illegal content rely on comparing the overall features of videos, which pose limitations in recognition speed when dealing with large-scale content or real-time streaming environments.This study introduces a method that extracts copyright information from end credits to determine the distribution status of illegal content, demonstrating that analyzing only about 10% of the frames can effectively identify unauthorized content.The proposed method is expected to contribute to the protection of OTT content copyrights by reducing system load and efficiently detecting illegal digital video content even in large-scale environments.
Authors: Woo-Seob Lee, In-Jae Yoo, Se-Young Jang, Byeong-Chan Park, Sun-Hee Shin, Seok-Yoon Kim, Young-Mo Kim
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405971952