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slightly distorted, then don t bother with resizing This has the advantage of avoiding artifacts caused by downscaling If you need to match graphics to video, such as for menu transitions or motion menu subpicture overlays, then you will usually need to slightly alter the scaling process above for 525-line (NTSC) video The exact details depend on your video source and your MPEG-2 video encoder Video from D1 tape has pixel dimensions of 720 486 To conform to MPEG-2 dimensions of 720 480, some encoders scale and some encoders crop the extra six lines; however, no consistent approach exists Some crop 3 from the top and 3 from the bottom, others crop 6 from the bottom, some crop 2 and 4, and so on6 You will need to do some research or testing of your encoder to find out what it does Then, instead of scaling to 720 480, scale to 720 486 and then crop the picture the same way your video encoder does This will ensure that everything lines up properly when transitioning from graphics to video or vice versa Another approach is to render graphics as one-second stills at the end of the motion video After encoding, you can extract the first I-frame of the still sequence and use it for the menu graphic Since it was encoded along with the video, it will match perfectly Safe Areas Most televisions employ overscan, which covers the edges of the picture Overscan can hide as much as 10 percent of the picture Two common safe areas are used to account for this The action-safe area defines a 5 percent boundary as a guideline for the area where action or important video content should be kept The title-safe area defines a 10 percent boundary as a guideline for the area in which text and other vital information should be kept (see Figure 126) The DVD Demystified sample disc includes safe area templates Some programs have built in video safe templates In After Effects, for example, press the apostrophe key to turn them on and off Most modern TVs don t have more than 5 percent overscan, but older or cheaper models may approach 10 percent Computers, LCD or plasma screens, and many video projectors have little or no overscan Video Artifacts Because there are one billion interlaced televisions in the world that your DVD video might be displayed on, you must consider interlace artifacts The fundamental problem is that since only every other horizontal scan line is displayed at a time, thin horizontal lines disappear.

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How to Generate Code 128 Barcode in RDLC Reports
RDLC reports, created by the Visual Studio ReportViewer control based on Report Definition Language Client Side, are local reports and completely run in local ...

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There is a natural bias in the information gain measure that favors attributes with many values over those with few values As an extreme example, consider the attribute Date, which has a very large number of possible values (eg, March 4, 1979) If we were to add this attribute to the data in Table 32, it would have the highest information gain of any of the attributes This is because Date alone perfectly predicts the target attribute over the training data Thus, it would be selected as the decision attribute for the root node of the tree and lead to a (quite broad) tree of depth one, which perfectly classifies the training data Of course, this decision tree would fare poorly on subsequent examples, because it is not a useful predictor despite the fact that it perfectly separates the training data What is wrong with the attribute Date Simply put, it has so many possible values that it is bound to separate the training examples into very small subsets Because of this, it will have a very high information gain relative to the training examples, despite being a very poor predictor of the target function over unseen instances One way to avoid this difficulty is to select decision attributes based on some measure other than information gain One alternative measure that has been used successfully is the gain ratio (Quinlan 1986) The gain ratio measure penalizes attributes such as Date by incorporating a term, called split informution, that is sensitive to how broadly and uniformly the attribute splits the data:

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5 Click Build And Go to run the application 6 When the application is running, turn the simulator sideways by selecting Hardware |

Cropping an odd number of lines (1, 3, or 5) is a bad thing for video, since it changes field dominance and can cause interlacing artifacts For stills, field dominance is irrelevant

Rotate right from the simulator s menu (Figure 7-3)

where S1 through S, are the c subsets of examples resulting from partitioning S by the c-valued attribute A Note that Splitlnfomzation is actually the entropy of S with respect to the values of attribute A This is in contrast to our previous uses of entropy, in which we considered only the entropy of S with respect to the target attribute whose value is to be predicted by the learned tree The Gain Ratio measure is defined in terms of the earlier Gain measure, as well as this Splitlnfomzation, as follows GainRatio(S, A) r Gain (S, A) Split Inf ormation(S, A)

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7 Simulate a memory warning by selecting Hardware | Simulate Memory Warning 8 Quit the application The console s output should appear similar to Listing 7-8

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Jun 4, 2014 · The tutorial explains how to generate Code 128 barcodes in Visual Studio using barcode fonts ...Duration: 8:15 Posted: Jun 4, 2014

and reappear 60 times a second This interlaced twitter effect (also called flicker) can be especially bad with computer-generated graphics In addition to interlace artifacts, chroma crawl and color crosstalk from composite video signals make thin lines or sharp color transitions problematic, despite their orientation To reduce these effects, use the antialiasing and feathering features of your graphics software whenever possible Make sure that all horizontal lines are at least two pixels thick To be even more careful, keep the thickness of horizontal lines at multiples of two pixels7 Use gradual color transitions instead of sharp contrasts between dark and light colors To adapt existing graphics, or as a final pass before encoding, apply a blur filter to the entire image or to offending areas For example, a Gaussian blur of 05 to 1 has little visual effect but helps to reduce video artifacts Also, because blurring reduces high-frequency detail, the MPEG compression will be more efficient, possibly resulting in higher quality

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Mar 18, 2019 · Hello everyone,. I would like to print barcodes for each item in my inventory. I want to create an RDLC report which will contain barcode (as an ...
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