Advanced MythTV Video Processing
Because of its stability and extensibility, Linux is often found at the frontier of computing. Linux has emerged as a promising platform for home theater audio/visual applications. My television viewing is now handled by a special-purpose Linux PC running MythTV. As I set up MythTV, the two major pain points I encountered were both related to video processing. The first challenge is to configure smooth video playback, and the second challenge is to take recorded programs on the road.
To work within the limitations of the electronics of the day, television frames are transmitted as two separate “fields”. A field consists of either the even-numbered or the odd-numbered horizontal lines in the picture. On playback, the even-numbered and odd-numbered fields are weaved together, and viewers far enough away from the display see continuous blended motion.
Two consecutive fields are related, but are not identical. During periods of rapid side-to-side motion of the camera, a field will be slightly ahead of its predecessor, and there may be jagged edges to images sliding across the screen. Figure 1 is a screenshot from a 1080i high-definition broadcast. In the scene, the camera is panning from left to right, causing the objects in the image to slide rapidly across the screen. Each field is in a slightly different position, leading to sawtooth-edge distortion, which is also called combing, serrations or mice teeth. In scenes with a great deal of sideways motion, it may be extremely difficult to follow the content through the distortion.
To make a video like Figure 1 watchable, it can be converted into a smooth picture by a process called deinterlacing. MythTV offers users a choice between several deinterlacing methods:
One field—instead of using two fields for one frame, this extremely simple method keeps only one of the two fields. Every other field is displayed as a still image, and the unused fields are discarded.
Linear—this method blends directly adjacent lines, which by definition come from alternate fields, together. A slight ghost image may appear, but the sawtooth distortion will be gone.
Kernel—this method blends several lines together instead of just adjacent lines. Ghost images do not appear, though faint remnants of one field may remain.
Bob—Bob is the most taxing method. Each field is line-doubled to create a frame, and then the reconstructed frames are played at double the frame rate.
Deinterlacing does require significant processing power, but most modern CPUs have multimedia instruction sets that reduce the load of the processing power. If you have an Intel processor with MMX or SSE instructions, or an AMD processor with 3Dnow!, deinterlacing should not be too difficult.
Bob is the best deinterlacing method to use with a synchronous TV output, though it can tax a less-capable machine. My personal MythTV front end is a 2GHz AMD Athlon64, and it has more than enough power to display Bob-deinterlaced high-definition video to an analog TV set. Although the CPU requirement is higher than the other deinterlacing methods, it is still well within the performance capabilities of my system.
Linear deinterlacing and kernel deinterlacing have similar visual effects, with the latter having a slightly larger CPU impact. Both are less taxing than Bob, which may be helpful on underpowered CPUs. Between the two, I prefer kernel deinterlacing because it blends several adjacent lines and eliminates ghosts, which make the resulting picture sharper.
One of the initial reasons for setting up a MythTV system was a desire to take my television programs on the road. Now that “television” means “files on hard disk”, it is much easier to store, transport and watch where it it is convenient for me. Like many mobile professionals, my laptop has practically become an extra appendage, and it is an ideal platform for playing back video while mobile, especially now that many airplanes have added power ports for mobile electronics.
The basic tension in exporting video from MythTV is a trade-off between size and processing time. Digital TV broadcast standards describe how to send an MPEG-2 video stream over a TV channel, so it is natural for MythTV to store digital TV broadcasts in their “natural” MPEG-2 format. Converting the MPEG-2 digital TV stream to another MPEG-2-based video format is relatively easy and can be done without lots of processing time. Converting the digital TV stream to MPEG-4 requires much more processing power, but the resulting video file will be much smaller.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide