Watermarking for no-refrence video quality

Dissertant

al-Ubaydi, Wafa Mahdi Salih Sallum

Thesis advisor

Sadiq, Ahmad T.

University

University of Technology

Faculty

-

Department

Computer Sciences Department

University Country

Iraq

Degree

Master

Degree Date

2012

English Abstract

This thesis presents a no-reference video quality metric that blindly estimates the quality of a video.

The proposed system makes use of a data hiding technique to embed a fragile mark into some areas of the video frame.

To evaluate video quality at the receiver, the mark is extracted from these areas of the received video.

The proposed system is based on video watermarking, using 8x8 blocks DCT coefficients for YCBCR domain, and for watermark generation; the Geffe generator has been used to generate binary stream sequence watermark in embedding and extracting processor.

Data hiding is achieved by simple “even-odd” signaling of the DCT coefficients.

The comparison process between the extracted watermark and the generated watermark from Geffe generator has been be calculated to conclude the video quality assessment by measuring the watermark degradation.

An identical watermark within each frame has been used in this thesis.

With these mechanisms, the proposed method is robust against the attacks of frame dropping, averaging, swapping, and statistical analysis.

The proposed system methods of embedding and extracting are implemented using MATLAB ver.

7.12.0.635 (R2011a) 64-bit.

The results indicate that the proposed video quality metric outperforms standard Peak Signal to Noise Ratio (PSNR) and Structural SIMilarity and Image Quality (SSIM) metric in estimating the perceived quality of a video.

The results demonstrate that the proposed system survives video distortions, such as additive Gaussian noise and that the error rate is approximately 0.023 comparing with that of standard metrics like PSNR and SSIM.

Main Subjects

Information Technology and Computer Science

Topics

• Digital electronics
• Digital video

• APA
• MLA
• AMA

Language

English

Data Type

Arab Theses

Record ID

BIM-419246