使用Hadoop MapReduce进行图像处理 [英] Image processing with Hadoop MapReduce

问题描述

我正在做一个运动估计的视频序列两帧之间的项目，使用块匹配算法并使用 SAD 指标。它涉及计算参考帧的每个块与窗口大小的候选帧的每个块之间的SAD，以获得两帧之间的运动向量。

我想实现使用Map Reduce也是如此。以键值对拆分框架，但无法找出逻辑，因为无处不在我发现wordCount或查询搜索问题，这与我的模拟不同

我也很感激如果你能为我提供更多Map Reduce的例子。

解决方案

Hadoop被用于计算可以并行发生，使用单台机器可能需要大量时间进行处理。没有什么能阻止你使用Hadoop进行视频处理。检查这个和这以获取有关可以使用Hadoop的更多信息。其中一些与视频处理相关。

首先了解WordCount示例和Hadoop。在Hadoop上运行示例。然后从那里工作。也会建议购买 Hadoop - 权威指南书。 Hadoop及其生态系统正在以非常快的速度发生变化，并且很难保持最新状态，但本书肯定会为您带来Hadoop的开始。

I am doing a project on motion estimation between two frames of a video sequence using Block Matching Algorithm and using SAD metrics. It involves computing SAD between each block of reference frame and each block of a candidate frame in window size to get the motion vector between the two frames.

I want to implement the same using Map Reduce. Splitting the frames in key-value pairs, but am not able to figure out the logic because everywhere I see I find the wordCount or query search problem which is not analogus to mine

I would also appreciate If you are able to provide me more Map Reduce examples.

解决方案

Hadoop is being used in situations where computations can happen in parallel and using a single machine might take a lot of time for the processing. There is nothing stopping you using Hadoop for video processing. Check this and this for more information on where Hadoop can be used. Some of these are related to video processing.

Start with understanding the WordCount example and Hadoop in general. Run the example on Hadoop. And then work from there. Would also suggest to buy the Hadoop - The Definitive Guide book. Hadoop and its ecosystem is changing at a very fast pace and it's tough to keep up-to-date, but the book will definitely give you a start on Hadoop.

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