Abstract: Booting a computing device includes executing one or more firmware components followed by a boot loader component. A protection component for the computing device, such as an anti-malware program, is identified and executed as an initial component after executing the boot loader component. One or more boot components are also executed, these one or more boot components including only boot components that have been approved by the protection component. A list of boot components that have been previously approved by the protection component can also be maintained in a tamper-proof manner.

Abstract: A prism eye piece and optical system including a prism eye piece and microdisplay are described herein. The prism eye piece may include three prisms. A main body prism has a surface that receives light from a source such as a microdisplay. Another prism has a surface that receives light from a source such as the real world. Both of these images are projected through a surface of still another prism that is proximate to an exit pupil. The surface of the prism proximate the exit pupil may be flat. Also the surface of the prism that receives light from a source such as the real world may be flat. These flat surfaces may be parallel to each other. This allows the light from the real world to be transmitted to the exit pupil without distortion.

Abstract: Concepts and technologies are described herein for transferring an application state between a web control rendered by a native application to native indicators provided by the native application. The web control may be embedded in the native application or may be accessed by the native application. In accordance with some concepts and technologies disclosed herein, an application state control transfers the application state from a web control to a native application. The transfer may occur as a result of a function request received at the native application.

Abstract: Information about the operating system application programming interfaces is stored in a known format in a known location. This information fully describes the APIs exposed by the operating system and is stored in API metadata files. A language compiler or interpreter uses this API information to build a natural and familiar representation of the native system API in the target language. The language compiler or interpreter can read the API information at compile time and/or runtime. The metadata is used to allow an application to refer to named elements in the API. Projections are built that use the metadata to map named elements in the API to named elements in the target language, and to define wrappers that marshal data of those elements between the target representation and the native operating system representation.

Abstract: An encoder comprising an encoding module and an adaptation module. The encoding module is configured to encode video in at least one region-of-interest and outside the region-of-interest. The encoding comprises quantization, and the encoding module is operable to apply a difference in quantization granularity between the encoding inside and outside the region-of-interest. The adaptation module is configured to determine at least one metric representative of a difference in benefit of the quantization inside and outside the region-of-interest, and to adapt the difference in quantization granularity in dependence on this metric.

Abstract: A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization.

Abstract: Several improvements for use with Bidirectionally Predictive (B) pictures within a video sequence are provided. In certain improvements Direct Mode encoding and/or Motion Vector Prediction are enhanced using spatial prediction techniques. In other improvements Motion Vector prediction includes temporal distance and subblock information, for example, for more accurate prediction. Such improvements and other presented herein significantly improve the performance of any applicable video coding system/logic.

Abstract: Described herein are various technologies pertaining to performing an operation relative to tabular data based upon voice input. An ASR system includes a language model that is customized based upon content of the tabular data. The ASR system receives a voice signal that is representative of speech of a user. The ASR system creates a transcription of the voice signal based upon the ASR being customized with the content of the tabular data. The operation relative to the tabular data is performed based upon the transcription of the voice signal.

Abstract: Some implementations can compress a digital image to create a compressed image corresponding to the digital image. The digital image can be divided into a plurality of coding units and a determination can be made whether to divide each coding unit of the plurality of coding units into smaller coding units/prediction units based on (i) a range of pixel values in each coding unit and/or (ii) a number of bits to encode the coding unit. Rate distortion optimization can be performed based on a size of each of the prediction units. A determination can be made whether to perform a transform for each of the transform units based on a size of each prediction unit and/or a spatial frequency measure associated with each transform unit.

Abstract: Techniques to manage state information for a web service are described. An apparatus may comprise a processor circuit, and an application program for execution by the processor circuit to provide a set of operations to modify a state of a network resource provided by a network service. The application program may comprise a state manager component arranged to record state information for the network resource provided by the network service as state changes occur to the network resource during a first communication session, and store a resource identifier and associated state information for the network resource in a state database, the state information for use in automatically reproducing a state of the network resource during a second communication session. Other embodiments are described and claimed.

Abstract: A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization.

Abstract: An image having a region tagged by a first user is obtained. The tag can include a first label of a person in the region, and the label can be used by the first user to identify the person in the region. Then, a second label of the person is determined. In implementations, the second label is used by a second user to identify the person in the region. The image is then displayed with the second label when displaying the image for the second user.

Abstract: Various embodiments provide an evaluation module that is configured to monitor activities of new users and ascertain, from monitored activities, a reputation associated with the new users. In at least some embodiments, the evaluation module comprises an activity store and/or a reputation service. The activity store can monitor different types of actions associated with new users. For example, the activity store can monitor content-based actions that pertain to particular pieces of content and/or user behaviors associated with new users. The reputation service, which may or may not comprise part of the evaluation module, can ascertain from information provided from the activity store, information, such as a reputation category, associated with content-based actions and/or user behaviors associated with new users. Based on a new user's information, e.g. reputation category, the new user can be assigned an activity type which, in turn, defines allowed and disallowed activities for the new user.

Abstract: A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization.

Abstract: The description relates to an interactive digital display. One example includes a display device configured to receive user input and recognize commands relative to data visualizations. The system also includes a graphical user interface configured to be presented on the display device that allows users to interact with the data visualizations via the user commands.

Abstract: A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization.

Abstract: An extensible framework for offloading data traffic sent to a mobile computing device over a cellular network to a wireless network comprises software plugins, a plugin host that is typically part of the mobile device operating system, and plugin interfaces through which the plugin host communicates with the plugins. A plugin is associated with one or more mobile operators. The framework can comprise one or more plugins, but typically, only one plugin is active at a time. The framework can automatically detect and connect to wireless networks associated with a mobile operator associated with an active plugin. The plugin can automatically authenticate the mobile device or a mobile device user with the mobile operator over the connected wireless network. The plugins are not allowed access to operating system functions responsible for detecting and connecting and disconnecting to a wireless network, which can improve mobile operating system stability and battery life.