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the performance of the compression system (or output concentration) to be greatly weakened, compared with progressive scanning. It is for this reason that most commercial streaming media encoders include a deinterlacing option, prior to compression. MPEG-2 and MPEG-4 also require deinterlaced images. Well-tuned compression algorithms try to detect stronger movements and switch to a transform in picture one-half (i.e., field) for those picture regions [5]. However, the coding in one-half of the picture is less efficient because the correlation of vertically neighboring pixels is weaker than in the full picture of a static scene. Simply stated, if the picture sequences are interlaced, the picture quality may be influenced by the motion content of the scene to be coded.



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Remember to think carefully about where north and south are in relation to your modeling table. Consider whether the site you are modeling is in the north or south hemisphere and adjust the position of your model accordingly.

With common algorithms, compression ratios of approximately 8:1 can be achieved while maintaining good picture quality [2]. To achieve higher compression ratios, the similarities between successive frames must be exploited. Not only does every pixel in a frame of video have similar pixels all around it, it also has similar pixels in the same relative screen





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Views based on multiple instances of the same table are called partitioned views. A horizontal partitioning occurs when different subsets of records are stored in different table instances (as in the preceding example). It is also possible to do vertical partitioning to put columns in separate tables based on the frequency with which they are needed. On wide tables, each record occupies a substantial amount of space. Since each data page is limited to 8KB, a smaller number of records can fit onto a single data page. As a result, the number of IO operations needed to access a large number of records is much higher. To reduce it, we can put frequently used fields in one table and other fields in a second table. The tables will have a one-to-one relationship. In the following example, the InventorySum table has been split into InventoryPrim and InventorySec tables:

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positions as itself, in previous and subsequent video frames. The nearest approach to this goal is the extension of the DCT in the time dimension. A drawback of such cubic transforms is the increase in calculation effort, but the greatest disadvantage is the higher memory requirements: for an 8 8 8 DCT, at least seven frame memories would be needed. Much simpler is the hybrid DCT, which also efficiently codes pictures with moving objects. This method comprises, almost exclusively, a motion-compensated difference pulse-code-modulation (DPCM) technique; instead of each picture being transferred individually, the motion-compensated difference of two successive frames is coded. DPCM is, in essence, the predictive coding of sample differences. DPCM can be applied for both interframe coding, which exploits the temporal redundancy of the input image, and intraframe coding, which exploits the spatial redundancy of the image. In the intraframe mode, the difference is calculated using the values of two neighboring pixels of the same frame. In the interframe mode, the difference is calculated using the value of the same pixel on two consecutive frames. In either mode of operation, the value of the target pixel is predicted using the reconstructed values of the previously coded neighboring pixels. This value is then subtracted from the original value to form the differential image value. The differential image is then quantized and encoded. Figure E.4 illustrates an end-to-end DPCM system.

Before compression schemes for video were being standardized, the Joint Picture Experts Group (JPEG) was formed to standardize the compression of static images. Video compression standards, such as MPEG-1, MPEG-2, and MPEG-4, can trace their origins to this standards effort. The JPEG standard is enjoying widespread commercial use today in a bewildering variety of applications. Because JPEG is the product of a committee, it isn t surprising that it includes more than one fixed encoding/decoding scheme. It can be thought of as a family, or as related compression techniques, from which designers can choose, based upon suitability for their particular application. The four primary JPEG family members are [2]:

Seasonal adjustment by moving the lamp up and down using the measurements listed above, it is possible to simulate the time of year. Latitude adjustment by setting the angle that the uppermost flat sheet makes with the base, you can adjust the heliodon for the latitude of your site. Time of day adjustment by rotating the assembly, you can simulate the earth s rotation on its axis, and simulate different times of day.

Figure E.4 Overall block diagram of a DPCM system: (a) encoder, (b) decoder. (From [2]. Used with permission.)

CREATE TABLE [dbo].[InventoryPrim] ( [Inventoryid] [int] NOT NULL , [Make] [varchar] (50) NULL , [Model] [varchar] (50) NULL ,

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