Microsoft Technology Licensing, LLC

Elad Gerson

Brian C Beckman

Avi Bar-Zeev

Gur Kimchi

Eyal Ofek

Henricus Johannes Maria Meijer

Kenn Cartier

Emmanouil Koukoumidis

Ido Omer

Norm Bryar

Selvi Chennai

Limor Lahiani

Selvi Chenai

Embodiments enable the evaluation of injected queries within a monad. One or more operators with closures are received from a first process. The operators with closures represent one or more functions to be applied by a second process. The second process evaluates the received operators with closures to apply the functions within the monad. During evaluation, the second process converts the closures to simply typed closures. Further, the second process binds the converted closures within the monad to restrict execution of the functions. In some embodiments, the queries (e.g., sequences of one or more operators with closures) are composed using a set of query operators from the language integrated query (LINQ) framework encoded in uniform resource locators (URLs) in the representational state transfer (REST) style.

Monadic evaluation of injected query compositions

Aggregated data associated with a geographic area may be obtained. The aggregated data may be dynamically distilled to obtain a presentation set of data based on a dynamically changing geographic location associated with the geographic area. A transmission of a stream of personalized audio data that is based on the presentation set of data may be initiated, via a device processor, to a receiving device associated with a user that is associated with the dynamically changing geographic location.

Audio presentation of condensed spatial contextual information

Architecture that employs crowd-sourced parking-related information to compute the probability of finding parking spots at specific road segments, parking lots, and/or in larger geographic areas. The crowd-sourced parking-related information can be obtained from geolocation (geographical location) traces. This approach utilizes a method of mining location traces to compute the probability of finding parking spots at specific road segments, parking lots, and/or in larger geographic areas. The location traces can be mined to classify parking areas as public, private, and semi-private (e.g., only for company employees in certain area that also include public parking areas). The location traces can be mined to infer the times and dates (e.g., hours of the day and the days of the week) during which a vehicle is allowed to park at a given location.

Crowd-sourced parking advisory

Audio data associated with a plurality of originating sources is obtained, the audio data directed to a participant entity. An originating entity associated with one of the originating sources is determined. A listener focus indication is obtained from the participant entity indicating a listener focus on the originating entity. A spatial positional relationship is determined between the participant and originating entities. A filtering operation is initiated to enhance a portion of the audio data associated with the originating entity, the portion enhanced relative to another portion of the audio data that is associated with the originating sources other than the first one. A spatialization of a stream of the first portion that is based on a participant positional listening perspective is initiated, based on the spatial positional relationship. Transmission of a spatial stream of audio data is initiated to the participant entity, based on the filtering operation and spatialization.

Selective spatial audio communication

Architecture that motivates and utilizes users as the means for capturing geographical data of a desired location. The architecture incentivizes users (e.g., large numbers of mobile-phone and mobile-computer users) to provide the data in the form of geolocation information trails and images captured by user devices. Thus, users take multiple pictures, for example, and can validate existing coverage of specific points of interest based on variable needs of the requestor. One motivational technique is by using augmented reality (AR) games, which include shooting targets associated with the point of interest (e.g., a street). Thus, the game can be designed for the data accumulation, which includes visual data. Additionally, the architecture can determine the areas or points of interest for validation and/or additional coverage by comparing live video data to an image database to decide of the need for update.

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Seattle, WA, United States of America

Elad Gerson