Start menu - Wikipedia, the free encyclopedia. For the keyboard button that activates the Start menu, see Windows key. The Start menu is a user interface element used in Microsoft Windows since Windows 9. It provides a central launching point for computer programs and performing other tasks. It has different names in different operating systems and window managers, such as Kickoff Application Launcher in KDE, Dash in GNOME and Unity, and Start screen in Windows 8. Traditionally, the Start menu provided a customizable nested list of programs for the user to launch, as well as a list of most recently opened documents, a way to find files and get help, and access to the system settings. Later enhancements via Windows Desktop Update included access to special folders like . Windows XP's Start menu was expanded to encompass various My Documents folders (including My Music and My Pictures), and transplanted other items like My Computer and My Network Places from the Windows desktop. Until Windows Vista, the Start menu was constantly expanded across the screen as the user navigated through its cascading sub- menus. When will the Windows Start Menu return? Get the Start Menu back in the operating system sooner rather than. It only took one release to remove the Start Menu. Why would it take three releases to put it back in. How to bring back the Start Menu to the Windows 8 Desktop. Computerworld The Voice of Business Technology Follow us. I have lost the task bar/start menu, how do I get them back? Read this answer in context 26. How to Get the Start Menu Back in Windows 8. For those who are running the Windows 8 Consumer Preview and want their Start menu back. Starting a program could mean sprouting out a multitude. Microsoft Windows. It lacked the ability to nest groups within other groups. Windows 9. 5 and Windows NT 4. Program Manager with desktop and Start menu. The latter was comparable in some respects with the Apple menu in Mac OS operating systems and did not have the mentioned limitations of Program Manager: Being a menu, it allowed nested grouping while keeping only one group open at the time. Items could also be simply added to the Start menu by dragging and dropping them. The menu also offered the ability to shutdown and log off from their computer. Later developments in Internet Explorer and subsequent Windows releases have allowed users to customize the Start menu and to access and expand Internet Explorer Favorites, My Documents and Administrative Tools (Windows 2. Start menu. Although Windows XP and Windows Server 2. Start menu, they offered the ability to switch back to this version of Start menu. This version of the Start menu is also available in Windows Vista and Windows Server 2. However, it is absent in Windows 7 and Windows Server 2. R2. Second version. The Start menu was expanded to two columns: the left- hand column focuses on installed programs, while the right- hand column provides access to My Documents, My Pictures, My Music and other special folders. Commonly used programs are automatically displayed in the left- hand menu. A sub- menu item at the bottom of this column grants access to all items of Start menu. When this menu item is selected, a scrolling list of start menu programs replaces the user/recent list. Windows Vista and its successors added minor changes to the menu. Prior to Windows Vista and Windows Server 2. Start menu consisted of a group of menus and sub- menus that cascaded and expanded, obscuring the initially visible portions of the screen beneath them. In Windows Vista, however, cascading menus were replaced by a sliding window in the left pane of the Start menu. Whenever All Programs item is clicked, the contents of the left pane slide off the left edge of the Start menu and the All Programs menu slides in from the right edge of the left column. This menu presents a tree view of it hierarchy that expands towards the bottom, with a vertical scrollbar whenever needed. Also added in Windows Vista is a Search box that allows users to search for the Start menu shortcuts or other files and folders. The search box features incremental search: If indexing is not turned off, the search box returns results on- the- fly as users type into it. Since the found items can be immediately opened, the Start menu search box replaces the function of Run command from previous versions of Windows. The Run command can also be added separately to the right column in the Start menu. In Windows 7 and Windows Server 2. R2, the search results pane covers both columns of the Start menu. The search box is extended to support searching Control Panel items. The right column in Windows 7 links to Libraries instead of ordinary folders. Most importantly, however, items on the Start menu support Jump lists through cascade buttons on their right. Unlike prior versions, the ability to revert to the . It covers the entire screen and no longer features the right column. It shows much larger tiles for programs and, whenever possible, displays dynamic content supplied by the program directly on the tile itself (known as a . The Start screen allows users to uninstall their programs by right- clicking on them and selecting . Pinned apps can be placed in groups. The search box is initially hidden but can be viewed by clicking the search button on the charms bar and can also be brought up as it receives a keyboard input. True to its name, the Start screen is the first screen that a user sees upon login. The idea of a full- screen Start can be traced back to Windows Neptune, when Microsoft originally considered a . Windows Phone was the original host of the design principles of the third generation Start menu. The Start screen no longer supports several previously available features. A list of recently launched program or shortcuts to special folders no longer appears on the Start screen. It no longer supports more than one level of nesting for groups in All Programs view. Drag and drop support for adding new items to the menu as well as reorganizing the contents of All Programs view is no longer available. In addition, for the first time in the history of Windows, the Start menu in a stock installation of Windows 8, Windows Server 2. Windows 8. 1 or Windows Server 2. R2 does not provide any facility for shutting down, restarting or activating sleep mode or hibernation, forcing users to use the settings button in the charms bar to perform these actions. An April 2. 01. 4 update for Windows 8. Windows Server 2. R2 restores the latter. Fourth version. It uses a two column design similar to Windows 7's version, except that the right side is populated by tiles, similarly to Windows 8's Start screen. Applications can be pinned to the right half, and their respective tiles can be resized and grouped into user- specified categories. The left column displays a vertical list, containing frequently- used applications, and links to the . Some of these links, and additional links to folders such as Downloads, Pictures, and Music, can be added through Settings' . The Start menu can be resized, or be placed in a full- screen display resembling the Windows 8/8. Start screen (although scrolling vertically instead of horizontally). It allows applications to be pinned to the top of the left column, with recently used apps listed below (much like 7), and as with 1. Windows 8 Get Start Menu back (no. Opinions expressed by Forbes Contributors are. Put The Start Menu Back Into Windows 8. I’ve played with a number of utilities that allow you to add the Start menu back to Windows 8,and the best by far is. How Do I Get My Start Bar Back? If the mouse does not cause the start bar to pop back into place. Windows 7 allows you to search for a file or program on your hard drive directly from your Start menu using a Windows process known as Windows. How to Get the Search Bar Back in the Start Menu on Windows 7 by Joshua. With the exception of Windows 8 and Windows Server 2. Start button can be found on the taskbar. On versions before Windows Vista, the Start Button consisted of the word . On the Windows Vista and Windows 7 desktop, the word . The Start button on Windows Server 2. Windows 8 is initially moved from the traditional taskbar to . The Start screen is accessed either by that button or by clicking the lower left corner of the screen. Windows 8. 1 and Windows Server 2. R2 restore the button back to its original place without removing the new button in the charms. This menu in Windows 8 and Windows Server 2. Quick Link menu. These appear in a separated section at the top of the Start menu, or, if placed in the Programs sub- folder, in the Programs menu. The location of this folder however, depends on the operating system installed: In Windows 9x, this folder is located either in . One distinguishing feature in Windows NT 4. Start menu separated the per- user shortcuts from the shared shortcuts and by a separator line and used different icons for the program folders in per- user and shared menus. For example, on German versions of Windows XP it is . Windows installers generally use the Windows API to find out the real names and locations of the Start menu and Desktop folders. However, since Windows Vista, all Versions of Windows use the same English named folders and only display different names in the Windows Explorer. Tweak. UI, an unsupported utility program from Microsoft, offers additional customizations, including speeding up the response time of the Start menu, window animation, and other hacks. Retrieved 3. 0 July 2. Paul Thurrott's Super. Site for Windows. Retrieved 7 August 2. Retrieved 2. 0 September 2. Retrieved 2. 0 September 2. Retrieved 3. 0 September 2. Retrieved 1. 6 July 2. Retrieved 1. 6 July 2. Retrieved 1. 6 July 2. Retrieved 1. 5 October 2. Retrieved 2. 0 September 2. Retrieved 1. 6 September 2. Retrieved 2. 0 July 2. Retrieved 2. 0 August 2. Paul Thurrott's Supersite for Windows. Retrieved May 2. 9, 2. Paul Thurrott's Supersite for Windows. Retrieved May 2. 9, 2. Retrieved 3 September 2. Paul Thurrott's Super. Site for Windows. Retrieved August 7, 2. Microsoft 'U- turn' sees Start button back on Windows 8. Image caption. Microsoft has released screenshots confirming the return of a Start button to Windows 8. Microsoft has confirmed a Start button is returning to the desktop mode's taskbar of its Windows 8 operating system. The lack of the facility - which had been in every previous version since Windows 9. However, it will not offer all the functionality previously associated with the feature. Instead it will take users to the recently- introduced . A left- click on the tip will bring up a tile- based Start Screen - formerly known as the Metro interface - designed for touch- screen users. A right- click will display a small menu of other options such as Event Viewer, Device Manager and Disk Management. Another change will allow users to boot their computers directly into desktop mode, meaning they can avoid ever using the Start Screen if they wish. Image caption. The Windows 7 Start button triggered a menu with apps and other links. Many users had complained that ditching the traditional Start Menu and introducing the Start Screen had made the system less straight- forward to use, meaning businesses which adopted it would need to retrain staff.'New Coke'Microsoft had been stung by claims that the expected reintroduction of a Start button would mark a major U- turn. An article in the Financial Times described the move as one of the . Both will be free of charge to existing users.'A fudge'Chris Green, principal technology analyst for the Davies Murphy Group, told the BBC he did not think the change would be enough to silence the critics. People hate it because they have to re- learn from scratch.
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Let me brief what I did for my requirement. Size of our Logging folder within Business. Objects Installation directory keep on increasing on daily basis. We do have a necessity to keep the old log files for at least last two months (retention period). Archived log should not be maintained in Installation folder to keep the size of Installation drive optimum. So we planned to move the old log files from Installation Log folder to a Log backup directory somewhere in a shared drive every 2 weeks for possible future environment investigation. Any log file files that are aged more than 6. Log files stored in Shared drive. Below steps will give you the detailed steps to implement the program objects. Initial Setup in CMCMake sure the credential you give above has appropriate rights (Logon,Execute) at Operating system level. Adding Program Object. 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Haar- feature Object Detection in C#A description of how it was possible to achieve real- time face detection with some clever ideas back in 2. Contents. Introduction. Background. The simple features. The attentional cascade. The integral image representation. Source code. Using the code. Welcome to Available C#.Net VB.Net & ASP.Net Major Projects & 2013, 2014, 2015.Net based projects. These Project for BTech & MTech Students. Last night I gave you a quick intro into using OpenCV with C#. I showed you how to create a simple video capture application that included a basic canny filter that would transform your captured video into a sketch like image. MCA PROJECTS IN Java, J2ee, asp.net, PHP, VB, C#.NET Project of india. Points of interest. Conclusion. References. Introduction. In 2. Batch Photo Face Automatically recognize faces in 1000s of photos and process images based on detection results! Home; Products; Batch Photo Face. One of the technologies I like to toy with from time to time is video capture. I like messing around with different eye tracking, head tracking, and pretty much any other kind of motion tracking systems. Hello, I am looking that article: Haar-feature Object Detection in C# I don't understand the classification part. So there are nodes with features, there are threshold on the stage and on the features. In the first part of this article, we saw how we can initialize our default camera, get image frames from it and carry out face detection. To complete the scope of this article, we would be taking a step.Viola and Jones proposed the first real- time object detection framework. This framework, being able to operate in real- time on 2. And the result everyone knows - face detection is now a default feature for almost every digital camera and cell phone in the market. Even if those devices may not be using their method directly, this now ubiquitous availability of face detecting devices have certainly been influenced by their work. Now, here comes one of the more interesting points of this framework. To locate an object in a large scene, the algorithm simply performs an exhaustive search using a sliding window, using different sizes, aspect ratios, and locations. How come something like this could be so efficient? And this is where the authors' contributions kicks in. This article should present the reader to the Viola- Jones object detection framework, and guide on its implementation inside the Accord. NET Framework. A sample application is provided so interested readers can try the image detection and see how it can be performed using the framework. Background. The contributions brought by Paul Viola and Michael Jones were threefold. First, they focused on creating a classifier based on the combination of several weak classifiers, based on extremely simple features in order to detect a face. Second, they modified a then standard algorithm for combining classifiers to generate classifiers which could even take some time to actually detect a face in a image, but which could reject regions not containing a face extremely rapidly. And third, they used a neat image representation which could effectively pre- compute nearly all costly operations needed for running their classifier at once. The simple features. Most of the time, when one is about to create a classifier, we suddenly have to decide which features to consider. A feature is a characteristic, something which will hopefully bring enough information in the decision process so the classifier can cast its decision. For example, suppose we are trying to create a classifier for distinguishing whether a person is overweight. A direct choice of features would be the person's height and weight. Hair color, for example, would not be a much informative feature in this case. So, let us come back to the features chosen for the Viola- Jones classifier. The features shown below are Haar- like rectangular features. While it is not immediately obvious, what they represent is the differences in intensity (grayscale) between two or more adjacent rectangular areas in the image. For instance, consider if one of those features is placed over an image, such as the Lena S. The value of the feature would be the result of summing all intensity pixels in the white side of the rectangle, summing the pixels in the blue side of the rectangle, and then computing their difference. Hopefully it should be clear by the images on the right side of the sequence why those rectangular features would be effective in detecting a face. Due to the uniformity of shadows in the human face, certain features seems to match it very well. The image above also gives an idea on how the search algorithm works. It starts with either a large (or small) window and scans the image exhaustively (i. When a scan finishes, it shrinks (or grows) this window, repeating the process all over again. The attentional cascade. If the detector wasn't extremely fast, this scheme most likely won't have worked well in real time. The catch is that the detector is extremely fast at discarding unpromising windows. So it can quickly determine if a region does not contains a face. When it isn't very sure about a given region, it spends more time trying to check that it isn't a face. When it finally gives up on trying to reject it, it can only conclude it is a face. So, how the detector does that? It does so by using an attentional cascade. A cascade is a way of combining classifiers in a way that a given classifier is only processed after all other classifiers coming before it have already been processed. In a cascade, the object of interest is only allowed to proceed in the cascade if it has not been discarded by the previous detector. The classification scheme used by the Viola- Jones method is actually a cascade of boosted classifiers. Each stage in the cascade is itself a strong classifier, in the sense it can obtain a really high rejection rate by combining a series of weaker classifiers in some fashion. A weak classifier is a classifier which can operate only marginally better than chance. This means it is only slightly better than flipping a coin and deciding if there is something in the image or not. Nevertheless, it is possible to build a strong classifier by combining the decision of many weak classifiers into a single, weighted decision. This process of combining several weak learners to form a strong learner is called boosting. Learning a classifier like this can be performed, for example, using many of the variants of the Ada. Boost learning algorithm. In the method proposed by Viola and Jones, each weak classifier could at most depend on a single Haar feature. Interestingly enough, therein laid a solution to a untold problem: Viola and Jones had patented their algorithm. So in order to use it commercially, you would have to license if from the authors, possibly paying a fee. As a way to extend the detector, Dr. Rainer Lienhart, the original implementer of the Open. CV Haar feature detector, proposed adding two new types of features and transforming each weak learner into a tree. This later trick, besides helping in the classification, was also sufficient to get out of the patent protection of the original method. Well, so up to now we have a classification system which can be potentially fast at rejecting false positives. However, remember this classifier has to operate on several scaled regions of the image in order to completely scan a scene. Computing differences in intensities would also be quite time consuming (imagine summing a rectangular area again and again, for each feature, and recomputing for each re- scaling). What can be done to make it faster? The integral image representation. Caching. This is often an optimization we perform everyday when coding. Like caching the output of a variable out of a loop instead of recomputing it every time. I think most are familiar with the idea. The idea for making the Haar detection practical was no different. Instead of recomputing sums of rectangles for every feature at every re- scaling, compute all sums in the very beginning and save them for future computations. This can be done by forming a summed area table for the frame being processed, also known as computing its integral image representation. The idea is to compute all possible rectangular areas in the image. Fortunately, this can be done in a single pass over the image using a recurrence formula: or, to put it simple,In an integral image, the area for any rectangular region in the image can be computed by using only 4 array accesses. The picture below may hopefully help in illustrating this point. The blue matrices represent the original images, while the purple ones represent the images after the integral transformation. If we were to compute the shaded area in the first image, we would have had to sum all pixels individually, reaching the answer of 2. Using the integral image, all it is needed is a single access (but this only because we were in the border). In case we are not in the border, all it would require would be at max 4 array accesses, independently of the size of the region; effectively reducing the computational complexity from O(n) to O(1). It will require only two subtractions and one addition to retrieve the sum of the shaded area on the right image, as described in the equation below. Source code. Finally, the source code! Let's begin by presenting a class diagram with the main classes for this application. I am sorry if it is a bit difficult to read, but I tried to keep it as dense as possible so it could fit more or less under 6. You can click it for a larger version, or check the most up- to- date version in the Accord. NET Framework site. Well, so first things first. The exhaustive search explained before (in the introduction) happens in the Haar. Object. Detector. This is the main object detecting class. Its constructor accepts a Haar. Classifier as parameter which will then be used in the object detection procedure. The role of the Haar. Object. Detector is just to scan the image with a sliding window, relocating and re- scaling as necessary, then calling the Haar. Classifier to check if there is or there is not a face in the current region. The classifier, on the other hand, is completely specified by a Haar. Cascade object and its current operating scale. I forgot to say, but the window does not really need to be re- scaled during search. The Haar features are re- scaled instead, which is much more efficient. So, continuing. The Haar. Cascade possesses a series of stages, which should be evaluated sequentially. As soon as a stage in the cascade rejects the window, the classifier stops and returns false. This is best seen by actually checking how the Haar. Classifier runs through the cascade: publicbool Compute(Integral. Image. 2 image, Rectangle rectangle). Math. Sqrt(factor) : 1. Haar. Cascade. Stage stage in cascade. Stages). . And now comes the Classify method of the Haar. Cascade. Stage object. Remember that each stage contains a series of decision trees. All we have to do is then to process the several decision trees, and check if it is higher than a decision threshold. Classify(Integral. Image. 2 image, int x, int y, double factor). |
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