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Keep in mind that, because Session variables are stored in memory, you must have enough memory to handle the Session variables for all users within the timeout period. So if you re expecting hundreds or thousands of simultaneous users, don t go creating huge complex Session variables for each user and expect the system to handle your application gracefully. If you do, you soon find your application slowing down, because ColdFusion must constantly cache memory to disk.

Xiong, Super-resolution through neighbor embedding, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, Vol 1, 2004, pp 275 282..

Variables in the Session and Client scopes are persistent global variables tied to individual users, but variables in the Application scope are persistent global variables accessible by all users of a specific application. In other words, Session.FirstName may contain different values for each user of an application, but Application.appStatus contains a single value for all users of that application. Application variables are typically set in Application.cfm inside a CFIF test as follows:

<cfif NOT IsDefined( Application.myVar )> <!--- Work to calculate Application.myVar ---> . . . <cfset Application.myVar = some value > </cfif>

8

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This snippet sets Application.myVar only if it doesn t already exist. Reserve the Application scope for universal values that require effort to calculate, such as a list of flagged words derived from a CFQUERY call. You wouldn t put such a list in the Request scope (described in the section of that name, earlier in this chapter) because it would need

(19.2)

can be used. In the current work, the pyramid method of [57] was used. In order to satisfy the small-displacement assumption, we begin with a reduced-resolution representation of the images. The optical ow is computed for the low-resolution images and then projected to the next level of the pyramid where the images in the sequence have a higher resolution. At each level of the pyramid, the optical ow computed from the previous level is used to warp the images in the sequence. This process is repeated until the ow has been computed at the original resolution. The nal ow eld is obtained by combining the ow information of each of the levels of the pyramid. The number of levels on the pyramid will be dictated by the largest motion in the sequence of images. The approach to motion estimation de ned above may result in biased results whenever the scene s illumination in the sample and test face images are distinct. To resolve this issue, one can include the modeling of this illumination variation in Eqs. (8.4 and 8.5). Negahdaripour [58] extends the above de nition of motion ow to include radiometric changes into its computation. This de nition requires an extension of the 2D motion eld vector (u, v) to a 3D transformation eld given by (u, v, e). The last component, e, describes the radiometric transformation of the image sequence. This provides us with a new model for the motion, given by I(x + u t, y + v t, t + t) = M(x, y, t)I(x, y, t) + C(x, y, t), (8.8)

to be recalculated for each request from each user. Placing this list in the Application scope enables it to be persisted between requests.

Where Application.myVar can have one value in one application and a different value in another application, Server-scoped variables are set for all applications hosted by a ColdFusion Server, so all users of all applications on a server see the same value. Server variables are rarely used in actual practice because so few settings apply to all applications at the same time. One reason why Server variables should not be used unless truly necessary is that they create performance bottlenecks if many applications constantly modify them, because Server variables must be locked whenever your code is modifying their values, as you will see in the next section. Server variables can be created by a simple CFSET in any ColdFusion code anywhere, but they are destroyed if ColdFusion Server is restarted.

in which the brightness at a pixel in two consecutive images is related via the motion parameters u and v and the radiometric parameters M and C, as shown. Here, M de nes light changes resulting in multiplier variations (e.g., change in homogenous or nonhomogeneous intensity), while C de nes additive terms, such as cast shadows. The data conservation constraint corresponding to Eq. (8.8) is ED = (Ix u + Iy v + It (Imt + ct )), (8.9)

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