Abstract: A system and method is provided for identifying error and rescaling and constructing or reconstructing a multi-dimensional (e.g., 3D) building model using street-level imagery. Street-level imagery is used to identify architectural elements that have known architectural standard dimensions. Dimensional measurements of architectural elements in the multi-dimensional building model (poorly scaled) are compared with known architectural standard dimensions to rescale and construct/reconstruct an accurate multi-dimensional building model.

Abstract: A method and system is provided for automatic generation and navigation of optimal views of facades of 3D building models in an interactive three-dimensional (3D) map system. The system and method allows for navigation and visualization of facades of building models in a 3D building model visualization system through optimal views of facades.

Abstract: A system and method is provided for generating textured 3D building models from ground-level and orthogonal imagery. Ground-level images for the sides of building objects are collected to form a 3D dense point cloud for identification of key architectural features, corresponding key façade geometry planes, and generation of a 3D building façade geometry. Orthogonal images are correlated to the 3D building model providing a properly geo-positioned, scaled and textured 3D building model.

Abstract: A geospatially accurate 3D model of a building or collection of buildings is used to communicate any type of geo-specific information by way of uniquely recognizable visual or non-visual highlighting such as color or texture coded building visualizations on rooftops or other objects within the 3D model.

Abstract: A system is provided including a database that ingests data from disparate image sources, with a variety of image metadata types and qualities, and manages images geospatially through the creation and continued refinement of camera solutions for each data object included. These camera solutions are calculated and refined by the database as additional data enters the system that could affect the solutions, through a combination of the application of image metadata towards image processing methods and the use of optical-only computer vision techniques. The database continually generates data quality metrics and relevant imagery and geometry analytics, which drive future collection tasking, system analytics, and human quality control requirements.

Abstract: Disclosed are methods for identifying topical experts from a seed set of experts by identifying “second tier” influencers for the topic. New concepts detected among a pool of experts and second tier influencers are monitored among the general population and their significance evaluated. Reports may be generated for these detected trends. Trends in social media for a concept represented in a taxonomy may be detected by monitoring content for descendent nodes for the concept. Correlations between social media activity with respect to the concept and sales of products corresponding to the concept may be made and sales predicted for the same or different products that correspond to descendants of the concept in the taxonomy.

Abstract: Disclosed are methods for identifying topical experts from a seed set of experts by identifying “second tier” influencers for the topic. New concepts detected among a pool of experts and second tier influencers are monitored among the general population and their significance evaluated. Reports may be generated for these detected trends. Trends in social media for a concept represented in a taxonomy may be detected by monitoring content for descendent nodes for the concept. Correlations between social media activity with respect to the concept and sales of products corresponding to the concept may be made and sales predicted for the same or different products that correspond to descendants of the concept in the taxonomy.

Abstract: Disclose are methods for evaluating a user's interests and making gift recommendations using social media data. Interests and attributes of a user may be detected from social media content and products corresponding to the interests and attributes may be selected and presented as gift recommendations for the user. Methods are disclosed for resolving ambiguity as to interests reflected by textual data in social media content. Also disclosed are methods for inferring a user's interests from the interests of friends of the user.

Abstract: Disclose are methods for evaluating a user's interests and making gift recommendations using social media data. Interests and attributes of a user may be detected from social media content and products corresponding to the interests and attributes may be selected and presented as gift recommendations for the user. Methods are disclosed for resolving ambiguity as to interests reflected by textual data in social media content. Also disclosed are methods for inferring a user's interests from the interests of friends of the user.

Abstract: Disclose are methods for evaluating a user's interests and making gift recommendations using social media data. Interests and attributes of a user may be detected from social media content and products corresponding to the interests and attributes may be selected and presented as gift recommendations for the user. Methods are disclosed for resolving ambiguity as to interests reflected by textual data in social media content. Also disclosed are methods for inferring a user's interests from the interests of friends of the user.

Abstract: Disclose are methods for evaluating a user's interests and making gift recommendations using social media data. Interests and attributes of a user may be detected from social media content and products corresponding to the interests and attributes may be selected and presented as gift recommendations for the user. Methods are disclosed for resolving ambiguity as to interests reflected by textual data in social media content. Also disclosed are methods for inferring a user's interests from the interests of friends of the user.

Abstract: Methods for making gift recommendations are disclosed. The interests of an intended recipient are identified as are the interests associated with a particular product. Products corresponding to the recipient's interests are identified and then ranked according to giftability. Giftability indicates the appropriateness of a product for giving as a gift. Products may also be ranked according to appropriateness for a category or occasion. Giftability may be specified or inferred from one or more of gift-wrapping requests, gifting references in comments or reviews, and sales surges during holidays. A Naïve-Bayes-type method may be used to infer the giftability of products for which such data is not available.

Abstract: Methods for making gift recommendations are disclosed. The interests of an intended recipient are identified as are the interests associated with a particular product. Products corresponding to the recipient's interests are identified and then ranked according to giftability. Giftability indicates the appropriateness of a product for giving as a gift. Products may also be ranked according to appropriateness for a category or occasion. Giftability may be specified or inferred from one or more of gift-wrapping requests, gifting references in comments or reviews, and sales surges during holidays. A Naïve-Bayes-type method may be used to infer the giftability of products for which such data is not available.

Abstract: A method and system for ranking Web pages in a Web search engine is described.

Abstract: A method and system for ranking Web pages in a Web search engine is described. One illustrative embodiment receives a Web search query from a particular user, the query including at least one keyword; identifies one or more Web pages that contain the at least one keyword; determines, for each of the one or more Web pages, a raw page ranking; adjusts the raw page ranking of each of at least one Web page among the one or more Web pages based on direct evidence of how interesting that Web page is to users to produce an adjusted page ranking, the direct evidence being derived from clickstream data collected from the users; and presents, as search results, the at least one Web page to the particular user in accordance with the adjusted page rankings.

Abstract: The invention provides an integrated framework for detecting peripheral sympathetic responses through imaging. The measurements may be performed on three facial areas of sympathetic importance, that is, periorbital, supraorbital, and maxillary. Because the imaging measurements are thermal in nature and comprise multiple components of variable frequency (i.e., blood flow, sweat gland activation, and breathing), wavelets are used as the image analysis framework. The image analysis may be grounded on GSR signals.

Abstract: A method and system for ranking Web pages in a Web search engine is described. One illustrative embodiment receives a Web search query from a particular user, the query including at least one keyword; identifies one or more Web pages that contain the at least one keyword; determines, for each of the one or more Web pages, a raw page ranking; adjusts the raw page ranking of each of at least one Web page among the one or more Web pages based on direct evidence of how interesting that Web page is to users to produce an adjusted page ranking, the direct evidence being derived from clickstream data collected from the users; and presents, as search results, the at least one Web page to the particular user in accordance with the adjusted page rankings.

Abstract: The invention provides an integrated framework for detecting peripheral sympathetic responses through imaging. The measurements may be performed on three facial areas of sympathetic importance, that is, periorbital, supraorbital, and maxillary. Because the imaging measurements are thermal in nature and comprise multiple components of variable frequency (i.e., blood flow, sweat gland activation, and breathing), wavelets are used as the image analysis framework. The image analysis may be grounded on GSR signals.

Abstract: A system for tracking physical activity comprising a sensor that detects movement carried by a first user, converts the movement into an electrical data signal and transmits the signal to a receiver, a receiver that transfers the movement data in the electrical data signal to a storage medium, and a processor that executes instructions to convert the movement data to a graphic representation of the first users movement. A method for monitoring physical activity, comprising attaching a sensor to a user wherein the sensor detects physical movement of the used and converts the physical movement into movement data indicative of the movement, transmitting and receiving the movement data signal, storing the movement data in a storage medium, and analyzing the movement data to monitor physical activity of the user.

Abstract: A system and method is provided for monitoring the activities and/or locations of wireless units in a wireless network independent of location-based service preferences of those wireless units. That is, a system and method is provided that allows an authorized requester override location-based service preferences (e.g., privacy settings) that may be set for a wireless unit. In this regard, an authorized entity may be able to effectively locate and/or monitor the activities of a wireless unit associated with an individual of interest. Furthermore, if proper authorization exists, such monitoring may be done surreptitiously without the wireless unit user's knowledge and/or consent. For example, in some instances, law enforcement agencies may be authorized to monitor call traffic and/or the location of persons utilizing wireless units.