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Video Quality Evaluation Methodology and Verification Testing of HEVC Compression Performance Under the guidance of: Mr. Justin Gopinath Associate professor , Dept of CSE, CIT, Gubbi, Tumakuru. Presentation by: Rajath K 1CG12CS074

Video Quality Evaluation Methodology

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Page 1: Video Quality Evaluation Methodology

Video Quality Evaluation Methodologyand Verification Testing of HEVC

Compression Performance

Under the guidance of:

Mr. Justin GopinathAssociate professor , Dept of CSE,CIT, Gubbi, Tumakuru.

Presentation by:

Rajath K1CG12CS074

Page 2: Video Quality Evaluation Methodology

Overview of Presentation • Introduction

• Performance measurements • HEVC verification methods

• HEVC verification test results • Conclusions

Page 3: Video Quality Evaluation Methodology

These video coding standards are the joint work of the same two bodies

• ISO/IEC Moving Picture Experts Group (MPEG)

• ITU-T Video Coding Experts Group (VCEG),through the JCT-VC.

Major Video Coding Standards

Mid 2010s: HEVC

Mid 1990s: MPEG-2

Mid 2000s: H.264/AVC

INTRODUCTION

Page 4: Video Quality Evaluation Methodology

HEVC version 1 was completed in January 2013 • published by ISO/IEC as MPEG-H Part 2

• published by ITU-T as H.265

For formal evaluation of HEVC performance, the JCT-VC performed a subjective evaluation of resolution varying from 480p up to UHD with frame rates up to 60 Hz.

Page 5: Video Quality Evaluation Methodology

Performance Measurements Two different types of measurement of compression performance

Objective evaluation

PSNR (Peak signal to noise ratio)

• PSNR is defined as the ratio between the maximum possible power of the signal and the power of noise.

• PSNR computed as:

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• For the HEVC verification test a degradation category rating (DCR) test method was selected.

• It was used to evaluate the quality with a quality rating scale.

• The numerical scale helps to avoid misinterpretations.

Subjective evaluation

• Mean Opinion Score (MOS) from human test subjects

• Requires a large number of test subjects to give good confidence intervals

• Expensive and time-consuming formal subjective tests

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JCT-VC Verification Testing of HEVC

Verification testing compared HEVC and AVC standards

• Test sequences were compressed using two encoding

• HEVC Main profile• AVC High profile

• The HEVC verification tests were carried out for fourcategories of resolutions:

• UHD• 1080p• 720p • 480p

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Example of UHD-1 Sequence

-UHD test sequence.

-Subjective and objective evaluation results for UHD content;subjective results, with associated 95% confidence intervals

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Verification Test Results

•Subjective test results require careful analysis

• Mean Opinion Score (MOS) calculated for each test point

• In this HEVC verification test, a correlation index greater than or equal to 0.75 is considered as valid for the acceptance of the viewer’s scorings; otherwise, the viewer

is considered as an unreliable.

• Revised MOS were then plotted with 95% confidence intervals

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• Each HEVC test point categorized by compared to AVC points

• Bit rate required for HEVC was

(a) Less than half that of AVC

(b) About half that of AVC

(c) More than half that of AVC

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Example of test point categories

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Estimated efficiency improvement

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Average bit rate savings

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Conclusions

• HEVC required no more than half bit rate of AVC in 86% of cases

• Implies that HEVC target of doubling the compression efficiency has been met or exceeded

• Bjøntegaard Delta calculations indicate greater bit rate savings at the higher resolutions

•52% for 480p •56% for 720p •62% for 1080p •64% for UHD-1 (2160p)

• This confirms that the subjective quality improvements of HEVC are typically greater than the objective.

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THANK YOU