상세정보
학술대회
Measure and Prediction of HEVC Perceptually Lossy/Lossless Boundary QP Values
- 발행일
- 201704
- 출처
- Data Compression Conference (DCC) 2017, pp.1-10
- 협약과제
- 16MR1600, 클라우드 기반 대용량 실감미디어 제작 기술 개발, 최진수
- 초록
- Evaluation of coding efficiency is traditionally modeled as a continuous rate-distortion (R-D) function, where the peak signal-To-noise ratio (PSNR) is adopted as the quality measure. Although the PSNR-versus-bitrate curve offers some useful tradeoff information between video quality and coding bit-rates, it does not take human perceptual experience into account. In this work, by following the recent image/video quality assessment framework based on the just-noticeable-difference (JND) notion, we conduct a subjective test for HEVC (High Efficiency Video Codec) video to measure the QP value that lies in the boundary of perceptually lossless and lossy coded bit streams for each human subject. This is also known as the first JND point. It is observed that the statistics of the first JND points of 30 subjects follows the normal distribution for a great majority of test sequences. Finally, a machine-learning approach is proposed to predict the mean of the group-based JND distribution based on extracted video features. It is shown by experimental results that the mean JND point can be predicted accurately.
- KSP 제안 키워드
- Bit Rate, Coding efficiency, High efficient video coding(HEVC), Human subject, Learning approach, Normal distribution, Peak-Signal-to-Noise-Ratio(PSNR), Quality assessment(IQA), Quality measure, Signal noise ratio(SNR), Subjective test