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| Content Provider | IET Digital Library |
|---|---|
| Author | Honglei, Su Qi, Liu Hao, Gong Xiaohui, Wang Huan, Yang Zhenkuan, Pan |
| Abstract | A novel bitrate model with low complexity is proposed for perceived compression distortion assessment of mobile video with low resolution, which is extremely useful in intermediate network nodes for quality monitoring. Without fully decoding, parameters are extracted by bitstream analysing, such as bitrate, frame type, quantisation parameter, DCT coefficient, motion vector. Bitrate is regarded as an essential parameter meanwhile the bitrate–MOS curve is determined by video content. Respectively, spatial factor is estimated using quantisation parameter and DCT coefficient and temporal factor is estimated using motion vector. Apart from bitrate, the spatial and temporal factors, which reflect the characteristic of video content, are considered in the proposed model to obtain a more accurate evaluation. Experimental results show that the overall performance of proposed model significantly outperforms that of the other five bitrate models in terms of widely used performance criteria, including the Pearson correlation coefficient (PCC), the Spearman rank-order correlation coefficient (SROCC), the root-mean-squared error (RMSE) and the outlier ratio (OR). |
| Starting Page | 1027 |
| Ending Page | 1033 |
| Page Count | 7 |
| ISSN | 17519659 |
| Volume Number | 11 |
| e-ISSN | 17519667 |
| Issue Number | Issue 11, Nov (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/11/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0318 |
| Journal | IET Image Processing |
| Publisher Date | 2017-07-14 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Bitrate-MOS Curve Bitstream Analysing Content-based Bitrate Model Correlation Method Data Compression DCT Coefficient Discrete Cosine Transform Image And Video Coding Image Motion Analysis Image Resolution Integral Transforms in Numerical Analysis Intermediate Network Node Interpolation And Function Approximation Linear Algebra Mean Square Error Method Mobile Video Services Motion Vector Numerical Analysis Outlier Ratio PCC Pearson Correlation Coefficient Perceived Compression Distortion Evaluation Quality Monitoring Quantisation (signal) Quantisation Parameter RMSE Root-mean-squared Error Spatial Factor Spearman Rank-order Correlation Coefficient SROCC Temporal Factor Vector Video Coding Video Signal Processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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