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基于数字媒体的视频关键帧丢失同步还原仿真 被引量:1

Simulations of Synchronized Restoration of Video Key Frame Loss Based on Digital Media
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摘要 针对传统视频关键帧丢失同步还原方法保真度较低的问题,提出一种基于数字媒体的视频关键帧丢失同步还原方法,利用多特征提取算法对丢失视频关键帧进行提取,完成关键帧的提取后,利用数字媒体视频通信协议对丢失视频关键帧的数据包进行分包处理,并对丢失视频关键帧的数据包进行解码处理,通过AVI文件实现视频关键帧的丢失同步还原。为了验证基于数字媒体的视频关键帧丢失同步还原方法的保真度较高,将上述方法与基于空间域与时间域的视频关键帧丢失同步还原方法、基于外边界匹配算法的视频关键帧丢失同步还原方法、基于双线性插值算法的视频关键帧丢失同步还原方法进行对比实验,实验结果证明,基于数字媒体的视频关键帧丢失同步还原方法的保真度最高,说明上述方法更适用于视频关键帧的丢失同步还原。 Aiming at the problem of low fidelity of traditional video key frame loss synchronization restoration method, a video key frame loss synchronization restoration method based on digital media is proposed. The lost video key frame was extracted by using multi-feature extraction algorithm. After the key frame extraction was completed, the digital media video communication protocol was used to realize the key frame recovery. Packets with lost key frames were subpackaged and decoded. The lost key frames were recovered synchronously through AVI files. In order to verify the high fidelity of synchronous restoration method for video key frame loss based on digital media, this method was synchronized with video key frame loss restoration method based on spatial and temporal domain, video key frame loss synchronization restoration method based on outer boundary matching algorithm and video key frame loss synchronization restoration method based on bilinear interpolation algorithm. The experimental results show that the method based on digital media has the highest fidelity, which indicates that the method is more suitable for losing synchronous restoration of video key frames.
作者 葛涵 褚丹 GE Han;CHU Dan(College of Liberal Arts,Beihua University,Jilin Jilin 132013,China;Institute of Computer Science and Technology,Beihua University,Jilin Jilin 132013,China)
出处 《计算机仿真》 北大核心 2020年第5期110-114,共5页 Computer Simulation
基金 吉林省教育厅2018年社会科学项目(JJKH20180394SK)。
关键词 数字媒体 视频关键帧 丢失同步还原 特征综合相似度曲线 Digital media Video key frame Lost synchronous restoration Feature synthesis similarity curve
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