Name
Title | ||
|---|---|---|
Quality-Oriented Perceptual HEVC Based on the Spatiotemporal Saliency Detection Model. |
Abstract | ||
|---|---|---|
Perceptual video coding (PVC) can provide a lower bitrate with the same visual quality compared with traditional H.265/high efficiency video coding (HEVC). In this work, a novel H.265/HEVC-compliant PVC framework is proposed based on the video saliency model. Firstly, both an effective and efficient spatiotemporal saliency model is used to generate a video saliency map. Secondly, a perceptual coding scheme is developed based on the saliency map. A saliency-based quantization control algorithm is proposed to reduce the bitrate. Finally, the simulation results demonstrate that the proposed perceptual coding scheme shows its superiority in objective and subjective tests, achieving up to a 9.46% bitrate reduction with negligible subjective and objective quality loss. The advantage of the proposed method is the high quality adapted for a high-definition video application. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/e21020165 | ENTROPY |
Keywords | Field | DocType |
H,265,HEVC,perceptual video coding,video saliency model,bitrate reduction | Control algorithm,Mathematical optimization,Saliency map,Pattern recognition,Salience (neuroscience),Perceptual coding,Coding (social sciences),Artificial intelligence,Quantization (signal processing),Perception,Mathematics | Journal |
Volume | Issue | ISSN |
21 | 2 | 1099-4300 |
Citations | PageRank | References |
5 | 0.40 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiantao Jiang | 1 | 50 | 8.24 |
| Tian Song | 2 | 44 | 5.48 |
| Daqi Zhu | 3 | 250 | 26.77 |
| Takafumi Katayama | 4 | 19 | 5.70 |
| Lu Wang | 5 | 5 | 0.40 |