当前位置: X-MOL 学术arXiv.cs.MM › 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.)
Automatic Generation of H.264 Parameter Sets to Recover Video File Fragments
arXiv - CS - Multimedia Pub Date : 2021-04-29 , DOI: arxiv-2104.14522
Enes Altinisik, Hüsrev Taha Sencar

We address the problem of decoding video file fragments when the necessary encoding parameters are missing. With this objective, we propose a method that automatically generates H.264 video headers containing these parameters and extracts coded pictures in the partially available compressed video data. To accomplish this, we examined a very large corpus of videos to learn patterns of encoding settings commonly used by encoders and created a parameter dictionary. Further, to facilitate a more efficient search our method identifies characteristics of a coded bitstream to discriminate the entropy coding mode. It also utilizes the application logs created by the decoder to identify correct parameter values. Evaluation of the effectiveness of the proposed method on more than 55K videos with diverse provenance shows that it can generate valid headers on average in 11.3 decoding trials per video. This result represents an improvement by more than a factor of 10 over the conventional approach of video header stitching to recover video file fragments.

中文翻译:

自动生成H.264参数集以恢复视频文件片段

当缺少必要的编码参数时,我们解决了解码视频文件片段的问题。为此,我们提出了一种方法,该方法可自动生成包含这些参数的H.264视频头,并从部分可用的压缩视频数据中提取编码图片。为此,我们检查了一个非常庞大的视频语料库,以了解编码器常用的编码设置模式,并创建了一个参数字典。此外,为了促进更有效的搜索,我们的方法识别编码比特流的特征以区分熵编码模式。它还利用解码器创建的应用程序日志来识别正确的参数值。对所提方法对超过55K具有不同来源的视频的有效性的评估表明,该方法平均可以在每个视频的11.3解码试验中生成有效的标头。与传统的视频头拼接以恢复视频文件片段的方法相比,该结果表示改进了10倍以上。
更新日期:2021-04-30
down
wechat
bug