Recent advances in content based video copy detection

TL;DR

This paper reviews recent progress in content-based video copy detection, emphasizing visual features used and evaluating system performances to combat copyright infringement.

Contribution

It provides a comprehensive overview of recent advancements and evaluates the effectiveness of various video copy detection methods.

Findings

Different visual features improve detection robustness

Performance varies across detection systems

Evaluation highlights strengths and limitations of current methods

Abstract

With the immense number of videos being uploaded to the video sharing sites, issue of copyright infringement arises with uploading of illicit copies or transformed versions of original video. Thus safeguarding copyright of digital media has become matter of concern. To address this concern, it is obliged to have a video copy detection system which is sufficiently robust to detect these transformed videos with ability to pinpoint location of copied segments. This paper outlines recent advancement in content based video copy detection, mainly focusing on different visual features employed by video copy detection systems. Finally we evaluate performance of existing video copy detection systems.