当前位置: X-MOL 学术Int. J. Pattern Recognit. Artif. Intell. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Fast Intra Prediction Algorithm Based on WMSE for 360-Degree Video
International Journal of Pattern Recognition and Artificial Intelligence ( IF 0.9 ) Pub Date : 2020-02-06 , DOI: 10.1142/s0218001420540324
Fuqi Mao 1, 2 , Renbo Su 2 , Zhi Liu 2 , Mengmeng Zhang 2 , Wen Yue 1
Affiliation  

With the increased demand for virtual reality, 360-degree video coding becomes challenging. A 360-degree video should be projected as a planar video before encoding, but this process causes distortion whose degree depends on the latitude. Traditional coding algorithms cannot effectively adapt to this feature. In this study, a fast intra prediction algorithm based on WMSE for 360-degree video is proposed. The similarity between the mother block and child blocks can reflect whether the mother block needs to be divided. Spherical weights are introduced in WMSE, and the similarity expressed by WMSE can distinguish the video of different latitude, which is consistent with the weight characteristics of ERP projection. Experimental results show that the proposed algorithm achieves 32% time reduction, with only 0.29% luma Bjontegaard delta rate (BD-rate) increase on average. The proposed algorithm provides a more effective solution to reduce the coding complexity of 360-degree video.

中文翻译:

基于WMSE的360度视频快速帧内预测算法

随着对虚拟现实需求的增加,360 度视频编码变得具有挑战性。360 度视频应该在编码前投影为平面视频,但这个过程会导致失真程度取决于纬度。传统的编码算法无法有效适应这一特点。在这项研究中,提出了一种基于 WMSE 的 360 度视频快速帧内预测算法。母块和子块的相似度可以反映母块是否需要分割。WMSE中引入了球形权重,WMSE表示的相似度可以区分不同纬度的视频,这与ERP投影的权重特性是一致的。实验结果表明,所提出的算法实现了 32% 的时间减少,只有 0。亮度 Bjontegaard delta 率(BD 率)平均增加 29%。该算法为降低360度视频的编码复杂度提供了一种更有效的解决方案。
更新日期:2020-02-06
down
wechat
bug