Abstract: A device for connecting a phone to a television so that content available via the phone can be rendered on the television is provided. The phone-to-television device includes a telephone interface for receiving content from and sending commands to the connected phone and includes a television interface for transmitting the received content for rendering on the connected television. The phone-to-television device includes a converter for converting content received from the phone into a television format and includes a transmission component for transmitting the formatted content for display on the television. As the user interacts with the phone, the user can view on the television the content that is provided by the phone.

Abstract: Technology for pre-ordering (e.g., pre-fetching content) at a shared computing premise is described. The technology can enable a user to locate and reserve an available seat at a shared computing premise (e.g., an iCafé). A service can transmit to the user a list of nearby iCafés or available seats that is ranked or ordered based on various criteria. The selected iCafé may pre-fetch content. The iCafé may also provide the pre-fetched content on removable media so that the user does not need to view all the pre-fetched content only at the iCafé. The iCafé may provide a search and/or document notification service and perform searches, download documents, and check for changes to specified documents even when the user is not logged on or using a computer at the iCafé. After the documents are retrieved and stored, the iCafé may send a notification to the user.

Abstract: Technology is described for local ad targeting. An engine executing on a client computing device may select ads based on rules that can be modified without modifying the engine. The engine can select from advertisements stored locally based on data discovered at the client computing device, such as by observing the user's actions, stored documents, state of the client computing device and/or its peripherals, etc. The technology can employ plug-ins to extend functionality provided by the engine. The technology can include a plug-in manager that manages plug-ins. The technology can also download and manage rules. Each rule can specify what actions to take, such as when an event occurs. When a component of the operating system observes an event, the engine (or a rule executor component associated with the engine) executes each related rule. The technology can thus select ads based on arbitrary events of the operating system, applications, or other components.

Abstract: Multi-user multi-input desktop workspaces and applications are described. In one aspect, a single computing device presents multiple workspaces on a desktop area. The desktop area is designed for multiple users to provide in parallel inputs. Each workspace is configured for use by a particular set of users. Responsive to user direction, user access restrictions to a particular workspace of the multiple workspaces is suspended to allow a new user to interface within context of a particular workspace.

Abstract: System and method for estimating and tracking an orientation of a user's face by combining head tracking and face detection techniques. The orientation of the face, or facial pose, can be expressed in terms of pitch, roll and yaw of the user's head. Facial pose information can be used, for example, to ascertain in which direction the user is looking. In general, the facial pose estimation method obtains a position of the head and a position of the face and compares the two to obtain the facial pose. In particular, a camera is used to obtain an image containing a user's head. Any movement of the user's head is tracked and the head position is determined. A face then is detected on the head and the face position is determined. The head and face positions then are compared.

Abstract: A system and method for facilitating non-linear viewing of media is provided. The system facilitates non-linear viewing of media by providing a scene selector that scans a digitized media and selects a scene in the digitized media and a metadata generator that produces metadata associated with the scenes and relates the metadata to the selected scene. With the scenes annotated with metadata, a playlist generator can generate a playlist of related scenes based on user inputs like queries and a playlist updater can adapt the playlist based on user reaction to the displayed scenes. The scenes can be displayed on a variety of devices exhibiting various levels of intelligence. The displays can be distributed as can the system.

Abstract: Disclosed herein are scheduling techniques for transmitting time-critical data in a cost-aware manner over a network comprising a plurality of heterogeneous transmission interfaces. The scheduling problem is formulated as a linear programming problem with the deliver-by deadlines of the various data blocks as hard constraints and minimizing cost set as an objective (soft) constraint. The problem is simplified by assuming data blocks with the earliest deadlines should be scheduled first and the most aggressive interfaces should be used first. To formulate the linear programming problem, the time domain is divided into bins and various bin-level schedules are enumerated for switching the transmission of the data over various transmission interfaces. The linear programming techniques are applied to the various bin configurations and the least costly of the resulting transmission schedule is selected for submission to a switching layer.

Abstract: System and method for estimating and tracking an orientation of a user's face by combining head tracking and face detection techniques. The orientation of the face, or facial pose, can be expressed in terms of pitch, roll and yaw of the user's head. Facial pose information can be used, for example, to ascertain in which direction the user is looking. In general, the facial pose estimation method obtains a position of the head and a position of the face and compares the two to obtain the facial pose. In particular, a camera is used to obtain an image containing a user's head. Any movement of the user's head is tracked and the head position is determined. A face then is detected on the head and the face position is determined. The head and face positions then are compared.

Abstract: A system and method for facilitating non-linear viewing of media is provided. The system facilitates non-linear viewing of media by providing a scene selector that scans a digitized media and selects a scene in the digitized media and a metadata generator that produces metadata associated with the scenes and relates the metadata to the selected scene. With the scenes annotated with metadata, a playlist generator can generate a playlist of related scenes based on user inputs like queries and a playlist updater can adapt the playlist based on user reaction to the displayed scenes. The scenes can be displayed on a variety of devices exhibiting various levels of intelligence. The displays can be distributed as can the system.

Abstract: A system and method for facilitating non-linear viewing of media is provided. The system facilitates non-linear viewing of media by providing a scene selector that scans a digitized media and selects a scene in the digitized media and a metadata generator that produces metadata associated with the scenes and relates the metadata to the selected scene. With the scenes annotated with metadata, a playlist generator can generate a playlist of related scenes based on user inputs like queries and a playlist updater can adapt the playlist based on user reaction to the displayed scenes. The scenes can be displayed on a variety of devices exhibiting various levels of intelligence. The displays can be distributed as can the system.

Abstract: A location history is a collection of locations over time for an object. By applying a recurring time period to a location history, it can be converted into a stochastic model of the location history. For example, a location history can be reorganized based on intervals that subside a recurring cycle. In a described implementation, training a location history model involves traversing each interval of multiple cycles of a target location history. After each object location at each interval is entered into a training matrix, the intervals can be normalized to determine relative probabilities per location for each interval of a designated cycle. The training and resulting location history model can be Markovian or non-Markovian. Applications include probabilistic location estimation, fusion of location estimates, location-history simulation, optimal scheduling, transition analysis, clique analysis, and so forth.

Abstract: Multi-user multi-input desktop workspaces and applications are described. In one aspect, a single computing device presents multiple workspaces on a desktop area. The desktop area is designed for multiple users to provide in parallel inputs. Each workspace is configured for use by a particular set of users. Responsive to user direction, user access restrictions to a particular workspace of the multiple workspaces is suspended to allow a new user to interface within context of a particular workspace.

Abstract: The coordinates for laying out visual items in two-, three-, or n-dimensional space along an embedded one-manifold or path are calculated and coordinates are generated for placement of the items in a container. A one-manifold may be continuous, discontinuous, be contained entirely within a container or extent beyond a container. The one-manifold may be defined by a set of parameters defining a function, formula or set of points. The container may be a two-dimensional, three-dimensional, or n-dimensional container. Such a mechanism may be employed by a graphics application and may determine the location or positioning of an object or item. The object or item may be one of a set of objects or items. In response to receiving a set of parameters defining a one-manifold, the one-manifold may be embedded within a container.

Abstract: A range of unified software authoring tools for creating a talking paper application for integration in an end user platform are described herein. The authoring tools are easy to use and are interoperable to provide an easy and cost-effective method of creating a talking paper application. The authoring tools provide a framework for creating audio content and image content and interactively linking the audio content and the image content. The authoring tools also provide for verifying the interactively linked audio and image content, reviewing the audio content, the image content and the interactive linking on a display device. Finally, the authoring tools provide for saving the audio content, the video content and the interactive linking for publication to a manufacturer for integration in an end user platform or talking paper platform.

Abstract: In one aspect, a background image constructed from HDR image information is displayed along with portions of the HDR image corresponding to one or more regions of interest. The portions have at least one display parameter (e.g., a tone mapping parameter) that differs from a corresponding display parameter for the background image. Regions of interest and display parameters can be determined by a user (e.g., via a GUI). In another aspect, an intermediate image is determined based on image data corresponding to one or more regions of interest of the HDR image. The intermediate image has a narrower dynamic range than the HDR image. The intermediate image or a derived image is then displayed. The techniques and tools can be used to compare, for example, different tone mappings, compression methods, or color spaces in the background and regions of interest.

Abstract: An interface is presented that can be used by those with little or no computer skills and little or no reading skills. In an exemplary embodiment, the icon pictures are detailed enough that they do not need text to be understood. Most icons do not require that they be clicked to be selected, rather they select on cursor hover. When an icon is hovered over, in an exemplary embodiment, it increases in size to make it easier for a user to select it. The interface has a help function that provides a voice that tells the function of an icon when the icon is moused over or otherwise tentatively chosen by a user. The help function voice may be accompanied by a virtual companion—a picture of a person, who, in some embodiments, is animated and appears to be speaking the help text.

Abstract: A system and method for maintaining a background model of an image sequence by processing on multiple spatial scales. These multiple spatial scales include a pixel scale, a regional scale and a frame scale. The image sequence undergoes pixel processing that determines a current background model and provides an initial pixel assignment as either a background or a foreground pixel. Region processing further refines the initial pixel assignments by considering relationships between pixels and possibly reassigning pixels. Frame processing further refines the current background model by determining whether a substantial change has occurred in the actual background and, if so, providing a more accurate background model.

Abstract: An example-based filling system identifies appropriate filling material to replace a destination region in an image and fills the destination region using this material, thereby alleviating or minimizing the amount of manual editing required to fill a destination region in image. Tiles of image data are borrowed from the proximity of the destination region or some other source to generate new image data to fill in the region. Destination regions may be designated by user input (e.g., selection of an image region by a user) or by other means (e.g., specification of a color or feature to be replaced). In addition, the order in which the destination region is filled by example tiles may be configured to emphasize the continuity of linear structures and composite textures using a type of isophote-driven image-sampling process.

Abstract: An image background maintenance system and method for maintaining a background model of an image sequence by processing on multiple spatial scales. These multiple spatial scales include a pixel scale, a regional scale and a frame scale. The image sequence undergoes pixel processing that determines a current background model and provides an initial pixel assignment as either a background or a foreground pixel. Region processing further refines the initial pixel assignments by considering relationships between pixels and possibly reassigning pixels. Frame processing further refines the current background model by determining whether a substantial change has occurred in the actual background and, if so, providing a more accurate background model.

Abstract: A system and process for automatically learning a reliable color-based tracking system is presented. The tracking system is learned by using information produced by an initial object model in combination with an initial tracking function to probabilistically determine the configuration of one or more target objects in a temporal sequence of images, and a data acquisition function for gathering observations relating to color in each image. The observations gathered by the data acquisition function include information that is relevant to parameters desired for a final color-based object model. A learning function then uses probabilistic methods to determine conditional probabilistic relationships between the observations and probabilistic target configuration information to learn a color-based object model automatically tailored to specific target objects.