摘要
针对传统视频图像解码算法进行解码运算时,存在解码后视频图像失真率高、解码效率低的问题,提出基于边缘提取的会议视频图像快速解码算法。该算法采用边缘提取方法预处理会议视频图像,以获得会议视频图像的边缘掩膜,根据边缘掩膜对会议视频图像进行平滑处理。通过自适应抽帧方法增大视频图像中的序列场景,抽取未发生跳变的图像帧数。采用双向运动补偿插帧方法填充运动矢量,完成会议视频图像的快速解码。实验结果表明,所提出的基于边缘提取的会议视频图像快速解码算法,边缘提取误差低、解码失真率低、解码效率高,具有较高的实际应用价值。
In order to solve the problems of high distortion and low decoding efficiency in traditional video decoding algorithm,a fast decoding algorithm based on edge extraction is proposed.In this algorithm,the edge extraction method is used to preprocess the conference video image to obtain the edge mask of the conference video image,and the conference video image is smoothed according to the edge mask.The adaptive frame extraction method is used to increase the sequence scene in the video image and extract the number of frames without jumping.Two way motion compensation interpolation method is used to fill in motion vector to complete the fast decoding of conference video image.The experimental results show that the proposed fast decoding algorithm based on edge extraction has the advantages of low edge extraction error,low decoding distortion rate and high decoding efficiency.
作者
雷雨田
Lei Yutian(Guangxi Human Resources and Social Security Information Center,Nanning Guangxi 530000,China;Wuhan University,Wuhan 430000,China)
出处
《科技通报》
2021年第10期54-58,共5页
Bulletin of Science and Technology
关键词
边缘提取
视频图像
快速解码
平滑处理
edge extraction
video image
fast decoding
smoothing processing
作者简介
雷雨田(1990-),男,广西南宁人,硕士,高级工程师,研究方向:网络视频技术。
