Abstract: A system for sharing moment experiences is described. A system receives moment data from an input to a mobile device. The system receives geographic location information, time information, and contextual information that is local to the mobile device. The system creates a message about the moment data based on the geographic location information, the time information, and the contextual information. The system outputs the moment data with the message.

Abstract: A system for capturing intent while recording moment experiences is described. A system receives a notice to record moment data via a mobile device. The system outputs a pictogram set, from multiple pictogram sets, based on contextual information associated with the notice. The system receives a selection of a pictogram from the pictogram set. The system records the moment data. The system outputs the moment data with the selected pictogram.

Abstract: A system for sharing moment experiences is described. A system receives moment data from an input to a mobile device. The system receives geographic location information, time information, and contextual information that is local to the mobile device. The system creates a message about the moment data based on the geographic location information, the time information, and the contextual information. The system outputs the moment data with the message.

Abstract: Road information is compressed for map tiles of a map containing a network of roads. The map can have different sets of tiles for each zoom level. For a given zoom level, road segments can be grouped based on the class of the roads (e.g., interstate highway, state highway, divided highway, side street, etc.). The road segments of a particular class can be combined into paths, and a representative segment can be chosen for each path. The features of the representative segment can be used in displaying the corresponding path, thereby reducing the size used to store the path in a map tile. This reduce-size map tile can be transmitted more efficiently due to the smaller size.

Abstract: Apparatus and method for simplifying vector road network data. For example, a method in accordance with one embodiment comprises: receiving input data comprising a vector road network specifying vertices and edges; removing discontinuities in paths defined by the vertices and edges; chaining adjacent edges, the chain reducing the number of vertices and producing a set of paths; merging spatially proximal paths to create a set of merged paths; and determining a set of reduced paths from the set of merged paths.

Abstract: Road information is compressed for map tiles of a map containing a network of roads. The map can have different sets of tiles for each zoom level. For a given zoom level, road segments can be grouped based on the class of the roads (e.g., interstate highway, state highway, divided highway, side street, etc.). The road segments of a particular class can be combined into paths, and a representative segment can be chosen for each path. The features of the representative segment can be used in displaying the corresponding path, thereby reducing the size used to store the path in a map tile. This reduce-size map tile can be transmitted more efficiently due to the smaller size.

Abstract: A method of classifying and organizing digital images utilizing optical metadata (captured using multiple sensors on the camera) may define semantically coherent image classes or annotations. The method defines optical parameters based on the physics of vision and operation of a camera to cluster related images for future search and retrieval. An image database constructed using photos taken by at least thirty different users over a six year period on four different continents was tested using algorithms to construct a hierarchal clustering model to cluster related images. Additionally, a survey about the most frequent image classes shot by common people forms a baseline model for automatic annotation of images for search and retrieval by query keyword.

Abstract: An asynchronous, distributed, and calibrated apparatus provides a composite display from a plurality of plug-and-play projectors. The apparatus comprises a plurality of self-sufficient modules. Each module comprises at least one plug-and-play projector of the plurality of plug-and-play projectors. A camera is coupled to the projector. A software or firmware controlled, computation and communication circuit is coupled to the projector and executes a single-program-multiple-data (SPMD) calibration algorithm that simultaneously runs on each self-sufficient module to generate a scalable and reconfigurable composite display without any need for user input or a central server.

Abstract: A method of classifying and organizing digital images utilizing optical metadata (captured using multiple sensors on the camera) may define semantically coherent image classes or annotations. The method defines optical parameters based on the physics of vision and operation of a camera to cluster related images for future search and retrieval. An image database constructed using photos taken by at least thirty different users over a six year period on four different continents was tested using algorithms to construct a hierarchal clustering model to cluster related images. Additionally, a survey about the most frequent image classes shot by common people forms a baseline model for automatic annotation of images for search and retrieval by query keyword.

Abstract: An asynchronous, distributed, and calibrated apparatus provides a composite display from a plurality of plug-and-play projectors. The apparatus comprises a plurality of self-sufficient modules. Each module comprises at least one plug-and-play projector of the plurality of plug-and-play projectors. A camera is coupled to the projector. A software or firmware controlled, computation and communication circuit is coupled to the projector and executes a single-program-multiple-data (SPMD) calibration algorithm that simultaneously runs on each self-sufficient module to generate a scalable and reconfigurable composite display without any need for user input or a central server.