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Broadcast VBR-coded video has different bit-rate characteristics than VBRcoded video conferences. Video conference sequences consist of head-and-shoulders pictures with little or no panning, while broadcast video is characterized by a succession of scenes. With interframe coding, it is clear that scene changes require more bits than intrascene frames, so broadcast video will differ from video conferences in at least this respect; this was demonstrated by Yasuda et al. [32]. There are some other differences too, as demonstrated by Verbiest et al. [31] and further ampli ed by Verbiest and Pinnoo [30]. In these papers, a DPCM-based coding algorithm is used. In the latter paper, it is shown that the number of bits per frame has a different autocorrelation function for broadcast video than for video conferences or video telephony. The autocorrelation functions for the last two are similar to each other and decay geometrically to zero. For broadcast video, the autocorrelation function does not decay to zero. Moreover, the rst frame after a scene change has signi cantly more bits than other frames in the scene. Ramamurthy and Sengupta [26] observe that the correlation function declines more rapidly at small lags than at large lags, and that the time series can be described by a semiMarkov process that has states identi ed by the bit rates for different types of scenes (and a state for scene changes). We build on this idea [12]; the simple DAR and GBAR models that described video conferences are not suf cient for broadcast video, although the DAR model is used as a building block in a more complex model. 12.3.1 Modeling Broadcast Video



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Optical character recognition (OCR) software works with your scanner to convert printed characters into digital text, ... Screenshot of IRIS Desktop Search. Benefits of OCR. » · How to use OCR. » · Getting the most out of OCR. »

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Aug 1, 2018 · Hi,. The Officejet Pro 8600 do have OCR integrated within the HP Scan Software for your product. From the following document select the How to scan with HP ...

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We obtained several data sets giving the number of bits per frame for sequences encoded by an intra eld=interframe DPCM coding scheme without use of DCT or motion compensation. We did not have access to the actual video sequences. Hence, a visual identi cation of scene-change frames was not possible. Our modeling strategy was to rst develop a way to identify scene changes, then construct models for the lengths of the scenes and the number of cells in a scene-change frame. Finally, models for the number of cells per frame for frames within scenes were developed. 12.3.1.1 Preliminary Data Analysis Before describing the statistical models, we report some elementary statistics about the sequences we examined. Figure 12.5 shows the peak and mean bit rates, and their ratios. The peak-to-mean ratios vary from 1.3 to 2.4. By way of comparision, the peakto-mean ratio for video-conference sequence with this codec (sequence A) is 3.2. Note that the larger peak-to-mean ratios are associated with the lower mean bit rates. The sequences divers, lm, Isuara 1, and Isaura 2, which have a low mean rate and high peak-to-mean ratios, were different TV programs recorded from a Cable TV network (and designated as normal quality broadcast video). The sequences with low peak-to-mean ratios (such as football, sport, news, etc.) were taken directly from the TV studios (and designated high-quality broadcast video).

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Storage requirements have grown at dramatic rates over the last few years, as applications like email, file sharing, and web services have become more and more prevalent. As each of these applications become more widely used, in fact, each pushes the use of even more storage (for example, as more people use email, the amount of email that is sent to each email user increases). As a result, each host on a network must be connected to more and more individual disks. In order to effectively manage this growth, many system administrators have chosen to centralize and consolidate their storage, as it is easier to manage pooled storage and a smaller number of larger storage arrays than it is to manage lots of small islands of storage scattered around an enterprise. As storage needs continued to change, and storage had to be reallocated from one host to another, administrators quickly learned how difficult it was to move this storage around. SANs allow storage to be placed into a centralized pool that can be easily allocated and reallocated between the hosts on that SAN. Administrators may have purchased enough storage, only to find that it has been connected to the wrong server. They no longer have to tell their managers that even though there is an unused terabyte of storage on that host,

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