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When key values are searched, a complex process works its way through the index structure, determining which keys in the cache have words matching those in the query request, and attaches a weight to the record based on how many times the word is located. The statistical information contained with the keys speeds the search algorithm by eliminating outstanding keys.

The Windows code is virtually identical to that of Windows Phone 7, except that it uses the class s _settings dictionary instead of IsolatedStorageSettings..

private MediaLocator findMedia(String requireDeviceName) { Vector devices = CaptureDeviceManager.getDeviceList(null); if (devices == null) { System.out.println("Devices list is null"); System.exit(0); } if (devices.size() == 0) { System.out.println("No devices found"); System.exit(0); } for (int i = 0; i < devices.size(); i++) { CaptureDeviceInfo devInfo = (CaptureDeviceInfo) devices.elementAt(i); String devName = devInfo.getName(); if (devName.equals(requireDeviceName)) { // found device System.out.println("Found device: " + requireDeviceName); return devInfo.getLocator(); // this method may not work } } System.out.println("Device " + requireDeviceName + " not found"); System.out.println("Using default media locator: " + CAP_LOCATOR); return new MediaLocator(CAP_LOCATOR); } // end of findMedia()

Compression reduces a piece of data to a smaller size by eliminating bits of the data that are redundant or occur frequently in the data set, and thus can be mapped or encoded to a smaller representation of the same data Compression algorithms can be either lossless or lossy Lossless compression algorithms allow the compressed data to be uncompressed into the exact same form as before compression Lossy compression algorithms encode data into smaller sizes, but on decoding, the data is not quite what it used to be Lossy compression algorithms are typically used in sound and image data, where the decoded data can still be recognizable, even if it is not precisely the same as its original state One of the most common lossless compression algorithms is something called a Huffman tree, or Huffman encoding.

Listing 16 8 Creating or updating settings values public void SetValue(string settingName, string value) { // Convert the setting name to lower case so that names are case-insensitive settingName = settingNameToLower(); #if WINDOWS_PHONE // Does a setting with this name already exist if (IsolatedStorageSettingsApplicationSettingsContains(settingName)) { // Yes, so update its value IsolatedStorageSettingsApplicationSettings[settingName] = value; } else { // No, so add it IsolatedStorageSettingsApplicationSettingsAdd(settingName, value); } #else // Does this setting already exist in the dictionary if (_settingsContainsKey(settingName)) { // Update the setting's value _settings[settingName] = value; } else { // Add the value _settingsAdd(settingName, value); } // Save the settings SaveSettings(); #endif } One final change is present in this piece of code in addition to the change of dictionary, however: it makes a call to SaveSettings each time a value is updated.

Huffman trees work by analyzing a data set, or even a single piece of data, and determining at what frequency pieces of the data occur within the data set For instance, in a typical group of English words, we know that certain letters appear with much more frequency than other letters Vowels occur more frequently than consonants, and within vowels and consonants, certain letters occur more frequently than others A Huffman tree is a representation of the frequency of each piece of data in a data set A Huffman encoding function is then used to translate the tree into a compression algorithm, which strips down the data to a compressed format for storage A decoding function allows data to be uncompressed when analyzed.

If the desired device is found, a MediaLocator object is created with CaptureDeviceInfo.getLocator(); a media locator is similar to a URL but for media devices. If the device isn t found, the code uses the default locator string, "vfw://0". There are a few issues with this approach, one being the choice of device name to pass to findMedia(). Windows XP and 2000 almost always name their capture device vfw:Microsoft WDM Image Capture (Win32):0. Another common name is vfw:Logitech USB Video Camera:0 for Logitech devices; Windows 98 employs vfw:Microsoft WDM Image Capture:0. Another problem is that a device must be registered with JMF before it can be manipulated by the API. Registration is carried out with JMF s Registry Editor in the Capture Devices tab (see Figure 9-4).