视频压缩技术简介

发布于 2024-09-06 05:42:06 字数 84 浏览 1 评论 0原文

研究 H.261 规范对于介绍现代视频压缩技术是否有用,或者我应该从其他地方开始?我不知道从哪里开始,但 H.261 似乎足够简单,可以轻松掌握这些概念。

Is it useful to study the H.261 specification for an introduction into modern video compression technology, or should I start somewhere else? I'm not sure where to start, but H.261 seems simple enough to make it easy to grasp the concepts.

如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

扫码二维码加入Web技术交流群

发布评论

需要 登录 才能够评论, 你可以免费 注册 一个本站的账号。

评论(2

╭⌒浅淡时光〆 2024-09-13 05:42:06

该规范并不是一个很好的介绍——它主要是为了精确而写的,并且几乎没有解释为什么事情是这样的。 H.261 本质上与 MPEG-1 相同。我用过的一本书(并且发现写得很好)是MPEG 视频压缩标准,作者是 Mitchell、Pennebaker、Fogg 和 LeGall。 FWIW,这涵盖了 MPEG-1 和 MPEG-2(分别称为 h.261 和 h.262)。

The specification isn't a very good introduction -- it's written primarily to be precise, and contains little explanation about why things are the way they are. H.261 is essentially the same as MPEG-1. One book I've used (and find quite well written) is MPEG Video compression stanadard, by Mitchell, Pennebaker, Fogg and LeGall. FWIW, this covers both MPEG-1 and MPEG-2 (aka h.261 and h.262 respectively).

知足的幸福 2024-09-13 05:42:06

我部分同意杰里·科芬的观点;我认为 H.261 对于任何学习视频压缩的人来说绝对是一个很好的起点,但直接阅读规范并不是一个好主意。

我重点关注的 H.261 基本构建块是运动补偿、宏块、减少空间冗余的 DCT 和减少时间冗余的差分 PCM (DPCM)。

如果出于学习目的我必须选择一种视频压缩的一般原则,那么我会从运动估计运动补偿开始。尝试这个思维练习:想象两个连续的视频帧仅相隔 1/30 秒。他们会很相似,对吧?如果不上网,会如何利用帧 1 中编码的信息来减少帧 2 的代码长度?现在,去搜索运动估计

接下来,您将如何减少空间冗余? H.261 使用类似 JPEG 的内容并使用 DCT。

编辑:来自 Wang、Osterman 和 Zhang(第 293-4 页,关于基于块的混合视频编码,H.261 本质上就是这样):

在此编码器中,每个视频帧被分为固定大小的块,并且每个块或多或少地被独立处理,因此被称为“基于块”。 “混合”一词意味着每个块都是使用运动补偿时间预测和变换编码的组合来编码的。 ...首先使用基于块的运动估计从先前编码的参考帧预测块。运动矢量指定当前块和最佳匹配块之间的位移。预测块是使用运动补偿从估计 MV 上的前一帧获得的。然后,通过使用DCT对其进行变换、量化DCT系数并使用可变长度编码将其转换为二进制码字,对预测误差块进行编码。

I partially agree with Jerry Coffin; I think H.261 is definitely a good starting point for anyone learning about video compression, but reading the specification directly is not a good idea.

The basic building blocks from H.261 that I would focus on are motion compensation, macroblocks, DCT to reduce spatial redundancy, and differential PCM (DPCM) to reduce temporal redundancy.

If I had to choose one general principle of video compression for learning purposes, start with motion estimation and motion compensation. Try this thought exercise: imagine two consecutive video frames separated by only 1/30 of a second. They will be pretty similar, right? Without peeking at the Internet, what would you do to exploit the information encoded in frame 1 to reduce the code length of frame 2? Now, go search for motion estimation.

Next, how would you reduce spatial redundancy? H.261 uses something like JPEG and uses the DCT.

Edit: From Wang, Osterman, and Zhang (p.293-4 on block-based hybrid video coding which H.261 essentially is):

In this coder, each video frame is divided into blocks of a fixed size and each block is processed more or less independently, hence the designation "block-based." The word "hybrid" means that each block is coded using a combination of motion-compensated temporal prediction and transform coding. ... First a block is predicted from a previously coded reference frame using block-based motion estimation. The motion vector specifics the displacement between the current block and the best matching bock. The predicted block is obtained from the previous frame on the estimated MV using motion compensation. Then, the prediction error block is coded, by transforming it using the DCT, quantizing the DCT coefficients, and converting them into binary codewords using variable-length coding.

~没有更多了~
我们使用 Cookies 和其他技术来定制您的体验包括您的登录状态等。通过阅读我们的 隐私政策 了解更多相关信息。 单击 接受 或继续使用网站,即表示您同意使用 Cookies 和您的相关数据。
原文