针对全景视频数据因量大和延时敏感的特点造成的视频失真问题,提出一种360°全景视频自适应前向纠错(Forward Error Correction,FEC)编码算法,根据实时网络状况对全景视频的图块进行编码比特率和FEC编码率的优化匹配,将全景视频传输质量最大化,减少视频失真.实验结果证明,与传统视频传输算法相比,该算法可以减少视频失真,且视频峰值信噪比(Peak Signal to Noise Ratio,PSNR)提高 5～7 dB.
Research on An Adaptive FEC Coding Algorithm for 360° Panoramic Video
In order to solve the problem of video distortion caused by large volume and time-sensitive panoramic video data,this paper proposes a Forward Error Correction(FEC)coding algorithm for 360° panoramic video.According to real-time network conditions,the bit rate and FEC coding rate of panoramic video blocks are optimized to maximize the transmission quality of panoramic video and reduce video distortion.Experimental results show that compared with traditional video transmission algorithms,the proposed algorithm can reduce video distortion and improve the Peak Signal to Noise Ratio(PSNR)by 5-7 dB.
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