Copy Detection Utilizing HEVC Intra Coding Features

ABSTRACT

The rapid growth of internet and online video data bring the difficulties not only to database management but also to digital right management. In the past decade, numerous algorithms were developed for video copy detection.

Because almost all digital video data exist in a compression format, many copy detection techniques operated in compression domain were proposed. However, these methods did not perform well with the sequences that had different quantization parameter (QP).

This thesis focuses on the content-based copy detection in compression domain, especially with the capability resisting multi-QP and frame sizes. The extracted features are based on the I-frame coding information in HEVC that is the newer coding standard. We propose to employ the direction mode and residual coefficients as the texture feature.

The experimental results show that the proposed method can reduce the resource consumption and archive the similar performance with the pixel domain approach.