从视频中提取特定帧的最快方法(PHP/ffmpeg/anything) [英] Fastest way to extract a specific frame from a video (PHP/ffmpeg/anything)

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问题描述

我有一个网页,它(除其他外)需要从用户上传的视频中提取特定的帧.用户在播放器中寻找 .mp4 的特定部分,然后单击一个按钮,然后 ajax 调用被触发到一个 php 脚本,该脚本获取 .mp4 和视频中的确切时间,并使用它来提取一个缩略图"框架.

I have a web page, which (among other things) needs to extract a specific frame from a user-uploaded video. The user seeks to a particular part of a .mp4 in the player, then clicks a button, and an ajax call gets fired off to a php script which takes the .mp4, and the exact time from the video, and uses that to extract a "thumbnail" frame.

我目前的解决方案是使用 php exec 命令:

My current solution is using the php exec command:

exec("ffmpeg -i $videoPath -ss $timeOffset -vframes 1 $jpgOutputPath");

...这很好用,除了它像糖蜜一样慢.我的猜测是 ffmpeg 对这项工作来说有点太多了,我可能可以通过利用底层库或其他东西做得更好......但是我对如何做到这一点毫无想法.

...which works just great, except it's as slow as molasses. My guess is that ffmpeg is a little too much for the job, and I might be able to do better by utilizing the underlying libraries or something... however I have zero idea how to do that.

理想情况下,我不想安装任何需要真正安装过程"的东西......即,将可执行文件放入带有我的网络应用程序的文件夹中很好,但我宁愿不必实际运行安装人员.此外,该解决方案应该能够在 mac、linux 和 windows 上运行(尽管 linux 是首要任务).

Ideally I don't want to have to install anything that requires a real "installation process"... i.e., dropping an executable into the folder with my web app is fine, but I'd rather not have to actually run an installer. Also, the solution should be able to run on mac, linux and windows (though linux is the top priority).

我可以做些什么来加快这个过程?

What can I do to speed this process up?

谢谢.

推荐答案

当然,你可以编写一些 C/C++ 代码并链接到 -lav*,基本上创建了一个 ffmpeg 的简化版本,仅用于提取帧,甚至可以这样做它作为一个 php 扩展(我也不会以同一个用户的身份运行它,更不用说在同一个进程中了).但结果不太可能更快,因为您只会避免一些分叉和设置开销,但您可能的问题实际上是解码,这仍然是相同的.

Of course you could code up some C/C++ and link to -lav*, basically creating a simplified version of ffmpeg just for extracting frames, and maybe even do it as a php extension (also I wouldn't run it as the same user, let alone in the same process). But the result is very unlikely to be faster, because you would only avoid some forking and setup overhead, but your likely problem is actually the decoding, which would still be the same.

相反,您应该首先考虑在快速搜索模式(或快速/准确混合模式)下使用 ffmpeg.他们的维基声明关于快速搜索:

Instead, you should first look into using ffmpeg in fast seeking mode (or fast/accurate hybrid mode). Their wiki states about fast seeking:

需要在-i前指定-ss参数:

ffmpeg -ss 00:03:00 -i Underworld.Awakening.avi -frames:v 1 out1.jpg

ffmpeg -ss 00:03:00 -i Underworld.Awakening.avi -frames:v 1 out1.jpg

此示例将在周围某处生成一个图像帧 (out1.jpg)电影开始的第三分钟.输入将是使用关键帧解析,速度非常快.缺点是它也将在某个关键帧完成搜索,不一定位于在指定时间 (00:03:00),所以搜索不会那么准确正如预期的那样.

This example will produce one image frame (out1.jpg) somewhere around the third minute from the beginning of the movie. The input will be parsed using keyframes, which is very fast. The drawback is that it will also finish the seeking at some keyframe, not necessarily located at specified time (00:03:00), so the seeking will not be as accurate as expected.

快速搜索不太准确,但要快得多,因为 ffmpeg 在搜索期间实际上不需要解码(大部分)电影,而快速/准确混合模式是很好的折衷方案.阅读维基页面了解所有可用选项.

Fast seeking is less accurate, but a damn lot faster, as ffmpeg will not actually need to decode (most of) the movie during the seek, while fast/accurate hybrid mode is good compromise. Read the wiki page for all available options.

10 年 6 月 14 日编辑:

从 FFmpeg 2.1 开始,当使用 ffmpeg 进行转码(即不是流复制)时,-ss 现在即使用作输入选项也是准确的.可以使用 -noaccurate_seek 选项恢复以前的行为.(来源)

As of FFmpeg 2.1, when transcoding with ffmpeg (i.e. not stream copying), -ss is now accurate even when used as an input option. Previous behavior can be restored with the -noaccurate_seek option. (source)

因此,对于 2.1+,在重新编码时不再需要混合"搜索以获得准确的结果(并且保存到 .jpeg 是重新编码).执行通常的快速搜索 (-ss ... -i ...) 而不是慢速搜索 (-i ... -ss ...) 就足够了).

So with 2.1+, "hybrid" seeking shouldn't be required anymore for accurate results when it comes to re-encodes (and saving to .jpeg is a re-encode). It is enough to do the usual fast seeking (-ss ... -i ...) instead of slow seeking (-i ... -ss ...).

这篇关于从视频中提取特定帧的最快方法(PHP/ffmpeg/anything)的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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