Paper
15 February 2012 Impact of video parameters on the DCT coefficient distribution for H.264-like video coders
Nejat Kamaci, Ghassan Al-Regib
Author Affiliations +
Proceedings Volume 8305, Visual Information Processing and Communication III; 830505 (2012) https://doi.org/10.1117/12.908719
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
We examine the impact of various encoding parameters on the distribution of the DCT coefficients for H.264-like video coders. We model the distribution of the frame DCT coefficients using the most common Laplacian and Cauchy distributions. We show that the resolution, the quantization levels and the coding type have significant impact on the accuracy of the Laplacian and Cauchy distribution based models. We also show that the transform kernel (4 ×4 vs 8 × 8) has little impact. Moreover, we show that for the video sources that have little temporal or spatial detail, such as flat regions, the distribution of the frame DCT coefficients resembles a Laplacian distribution. When the video source exhibits more detail, such as texture and edges, the distribution of the frame DCT coefficients resembles a Cauchy distribution. The correlation between the details of the video source to the two probability distributions can be used to further improve the estimation of the distribution of the frame DCT coefficients, by using a classification based approach.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nejat Kamaci and Ghassan Al-Regib "Impact of video parameters on the DCT coefficient distribution for H.264-like video coders", Proc. SPIE 8305, Visual Information Processing and Communication III, 830505 (15 February 2012); https://doi.org/10.1117/12.908719
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Video coding

Quantization

Statistical analysis

Computer programming

Error analysis

Distortion

RELATED CONTENT

YUV chrominance sub-sampling comparison using H.264
Proceedings of SPIE (May 20 2015)
Depth map coding with distortion estimation of rendered view
Proceedings of SPIE (January 18 2010)
Forward rate control for MPEG recording
Proceedings of SPIE (October 22 1993)
Content-based MPEG-2 structuring and protection
Proceedings of SPIE (November 22 1999)

Back to Top