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There are 50 million people on LinkedIn. It s important. LinkedIn provides really powerful tools that you can use to help yourself and help your friends career-wise. It s an increasingly popular tool for developing business contacts and finding work. Just about anyone who has a career and wants to continue working or is currently seeking a job should invest the time to build and maintain their network. Even if you re currently working and believe you ll be in this position for the rest of your life, I d caution you to consider that things could change. What LinkedIn provides you, in some ways, is a safety net: by investing the time to build your network, you re maintaining contacts that could become crucial when and if you do look for a job. And even if you re 100 percent certain you ll always be in your current job, you can provide a valuable service for your friends by being connected online and helping them to link in to other people. One of the best ways to find a job is through referrals, and that s what LinkedIn provides. It s also a great tool for developing existing businesses. I can t really think of a good reason why anyone shouldn t use LinkedIn, only reasons why you should, for the sake of your own career/business/non-profit organization, as well as for the sake of your friends and colleagues. In fact, I think LinkedIn is so important that I want to suggest that you consider spending some time with it on a regular basis. For example, perhaps you might spend Monday lunches on LinkedIn.

The speed at which frames are displayed is typically measured in the number of frames displayed per second (fps) and is commonly known as the frame rate of a video. Several different frame rates are used for video around the world. Some of the more common ones are as follows: 24 fps: Typically used for movie making 25 fps: Used in the PAL Television standards in large parts of Europe and Latin America 29.97 fps: Used in the NTSC Television standards in North America 30 fps: Used in the HDTV standard

<service-activator input-channel="customerIdChannel" ref="customerDeletionServiceActivator"/> </beans:beans> The configuration for this is not terribly different from the previous solutions. The Java code is just about the same as well, except that the return type of the method annotated by the @Splitter annotation is of type java.util.Collection. package com.apress.springenterpriserecipes.springintegration; import import import import import import org.apache.commons.io.IOUtils; org.springframework.integration.annotation.Splitter; java.io.File; java.io.FileReader; java.io.Reader; java.util.Collection;

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A common way to refer to a specific time point in a video is to use a combination of standard time units and frame count This mechanism has been formalized by the SMPTE and is commonly referred to as an SMPTE timecode or more formally as the SMPTE 12M specification An SMPTE timecode is a way to label each frame in a video with time information for that frame Using the SMPTE timecode standard, each frame is labeled using the hh:mm:ss:ff format, where ff is the frame number for that frame within the second immediately following the time specified by the hh:mm:ss portion of the timecode As an example, consider a video that has been recorded at a frame rate of 25 fps that is, in the video, a unique frame occurs every 40 milliseconds The two-thousand-twelfth frame in that video is labeled 00:01:20:12.

A NOTE FOR RETIREES (AND EVERYONE ELSE)

If you calculate backward, you see that 1 minute and 20 seconds (80 seconds) yields 2,000 frames at 25 fps, and hence 00:01:20:12 denotes the two-thousand-twelfth frame in the video Timecodes are typically imprinted into the source video at the time of recording Consequently, if you are using the source material as is, you may expect the timecodes to be contiguous However, this is not always the case Often, video can be edited such that segments of video from different source materials, or disjoint segments from the same source material, are stitched together to form another video In certain cases, the editor may choose to retain the original SMPTE timecodes from the sources into the resulting video, in which case the resulting video ends up with disjoint ranges of SMPTE timecodes We touch on some very basic information about timecoding here.

public class CustomerBatchFileSplitter { @Splitter public Collection<String> splitAFile(File file) throws Throwable { Reader reader = new FileReader(file); Collection<String> lines = IOUtils.readLines(reader); IOUtils.closeQuietly(reader); return lines; } } A message payload is passed in as a java.io.File and the contents are read. The result (a collection or array value; in this case, a Collection<String>) is returned. Spring Integration executes a kind of foreach on the results, sending each value in the collection out on the output-channel configured for the splitter. Often, you split messages so that the individual pieces can be forwarded to processing that s more focused. Because the message is more manageable, the processing requirements are dampened. This is true in many different architectures: in map/reduce solutions (see 10 for more on this) tasks are split and then processed in parallel, and the fork/join constructs in a BPM system (see 11) let control flow proceed in parallel so that the total work product can be achieved quicker.

For a somewhat detailed treatment of SMPTE timecodes, you can refer to enwikipediaorg/wiki/SMPTE_timecode For the detailed 12M timecode specifications, visit the SMPTE at wwwsmpteorg..

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