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element of the intraframe-quantizer matrix, which is always set to be 8 (ISO/IEC 13818-2) Entropy Coder An important effect of the quantization of transform coefficients is that many coefficients will be rounded to zero after quantization [10] In fact, a primary method of controlling the encoded data rate is the control of quantization coarseness, because a coarser quantization leads to an increase in the number of zero-value quantized coefficients Inverse Quantizer At the decoder, the coded coefficients are decoded and an 8 8 block of quantized coefficients is reconstructed [10] Each of these coefficients is inverse-quantized according to the prevailing quantizer matrix, quantizer scale, and frame type The result of inverse quantization is a block of 64 DCT coefficients Inverse Spatial Transform Block IDCT The decoded and inverse-quantized coefficients are organized as 8 8 blocks of DCT coefficients and the inverse discrete cosine transform is applied to each block [10].



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This results in a new array of pixel values, or pixel difference values that correspond to the output of the subtraction at the beginning of the prediction loop If the prediction loop was in the interframe mode, the values will be pixel differences If the loop was in the intraframe mode, the inverse transform will produce pixel values directly Motion Compensator If a portion of the image has not moved, then it is easy to see that a subtraction of the old portion from the new portion of the image will produce zero or nearly zero pixel differences, which is the goal of the prediction [10] If there has been movement in the portion of the image under consideration, however, the direct pixel-by-pixel differences generally will not be zero and might be statistically very large.





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The motion in most natural scenes is organized, however, and can be approximately represented locally as a translation in most cases For this reason, the video coding system allows for motion-compensated prediction, whereby macroblock-sized regions in the reference frame may be translated vertically and horizontally with respect to the macroblock being predicted, to compensate for local motion The pixel-by-pixel differences between the current macroblock and the motion-compensated prediction are transformed by the DCT and quantized using the composition of the nonintraframe-quantizer matrix and the quantizer scale factor The quantized coefficients are then coded..

Most of the fields are just copied from normalized tables. ID is an identity field, which you will use to request a subset of records and to sort records on. Several records have a SIdx suffix. I call them surrogate indexes. They store the position of the record in a set when it is sorted in a particular order. For example, LFNameSIdx is the surrogate index that is used when a recordset is returned sorted by first and last name (see Figure 12-1).

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There are a lot of folk out there who swear by solar cooking. All sorts of people have formulated different designs of solar cooker. While I have presented a few designs that have worked for me, there are many, many other different types of design for different applications. I highly recommend that you browse some of the following links in order to find the solar cooker that is right for you. The Tracking Solar Box Cooker solarcooking.org/Cookerbo.pdf Fresnel Reflector Cooker www.sunspot.org.uk/ed/ The Reflective Solar Box Cooker solarcooking.org/newpanel.htm Collapsible Solar Box Cooker solarcooking.org/collapsible-box.htm The Bernard Solar Panel Cooker solarcooking.org/spc.htm

The dual prime prediction mode is an alternative special prediction mode that is built on field-based motion prediction but requires fewer transmitted motion vectors than conventional field-based prediction [10]. This mode of prediction is available only for interlaced material and only when the encoder configuration does not use B-frames. This mode of prediction can be particularly useful for improving encoder efficiency for low-delay applications. The basis of dual prime prediction is that field-based predictions of both fields on a macroblock are obtained by averaging two separate predictions, which are predicted from the two nearest decoded fields in time. Each of the macroblock fields is predicted separately, although the four vectors (one pair per field) used for prediction all are derived from a single transmitted field-based motion vector. In addition to the single field-based motion vector, a small differential vector (limited to vertical and horizontal component values of 1, 0, and 1) also is transmitted for each macroblock. Together, these vectors are used to calculate pairs of motion vectors for each macroblock. The first prediction pair is simply the transmitted field-based motion vector. The second prediction vector is obtained by combining the differential vector with a scaled version of the first vector. After both predictions are obtained, a single prediction for each macroblock field is calculated by averaging each pixel in the two original predictions. The final averaged prediction then is subtracted from the macroblock field being encoded.

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