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Either way, the consumer is better informed, more engaged, and able to compare models and prices before making a purchase Broadband is a prerequisite for e-commerce streaming, since the video has to look as good as television to attract viewers That means that streaming e-commerce applications, from business to consumer, are in the future However, there is already a compelling case for the business-to-business streaming of products, especially where technical three-dimensional models can be exchanged over a network The use of streaming media to add richness to business-to-business sales is a likely first step, since the bandwidth already exists Business LANs and interconnections are already, for the most part, broadband Vendors could save vast amounts of money making product demonstrations available online, rather than sending a mobile sales force on the road to do the same job at each potential customer s site, customer by customer.



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With a streaming product presentation online, the account manager would only need to show up at the customer s premises to forge.

There are, however, several problems with this solution. You are still executing the query against a large set of normalized tables. You are also creating a large temporary table every time you execute the stored procedure. Because you are working in a stateless environment, you cannot keep the temporary table on the server. Therefore, SQL Server works much harder than it should. The advantage to this technique is that network traffic is significantly reduced.

This is an incredibly simple construction for a solar camping stove. Simply, take five sheets of cardboard three of them should be joined together by their long edges,





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lar spatial frequency as necessary and as possible, given the constraints on data transmission while not using more precision than is needed, based upon visual perception criteria. For example, in a portion of a picture that is busy with a great deal of detail, imprecision in reconstructing spatial high-frequency components in a small region might be masked by the picture s local business. On the other hand, highly precise representation and reconstruction of the average value or dc term of the DCT block would be important in a smooth area of sky. The dc F (0,0) term of the transformed coefficients represents the average of the original 64 coefficients. As stated previously, the DCT of each 8 8 block of pixel values produces an 8 8 array of DCT coefficients. The relative precision accorded to each of the 64 DCT coefficients can be selected according to its relative importance in human visual perception. A quantizer matrix represents the relative coefficient precision information, which is an 8 8 array of values. Each value in the quantizer matrix represents the coarseness of quantization of the related DCT coefficient. Two types of quantizer matrix are supported:

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A matrix used for macroblocks that are intraframe-coded A matrix used for macroblocks that are non-intraframe-coded

The video coding system defines default values for both the intraframe-quantizer and the non-intraframe-quantizer matrices. Either or both of the quantizer matrices can be overridden at the picture level by the transmission of appropriate arrays of 64 values. Any quantizer matrix overrides stay in effect until the following sequence start code. The transform coefficients, which represent the bulk of the actual coded video information, are quantized to various degrees of coarseness. As indicated previously, some portions of the picture will be more affected in appearance than others by the loss of precision through coefficient quantization. This phenomenon is exploited by the availability of the quantizer scale factor, which allows the overall level of quantization to vary for each macroblock. Consequently, entire macroblocks that are deemed to be visually less important can be quantized more coarsely, resulting in fewer bits being needed to represent the picture. For each coefficient other than the dc coefficients of intraframe-coded blocks, the quantizer scale factor is multiplied by the corresponding value in the appropriate quantizer matrix to form the quantizer step size. Quantization of the dc coefficients of intraframe-coded blocks is unaffected by the quantizer scale factor and is governed only by the (0,0)

To reduce the number of tables that need to be joined every time, you can create a new table that contains all the fields that you typically need in the query. The InventorySum table has such a role in the Asset database.

The beauty of this design is that it is very simple, can be assembled quickly, and fits into the space of a few sheets of cardboard in your backpack. The set-up cooker is illustrated in Figure 6-10.

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