Abstract: Certain exemplary embodiments relate to entertainment systems that interact with users to provide access to media appropriate to and/or customized for a particular user using the entertainment system, the location at which the entertainment system is being accessed, and/or a predefined event. For example, in certain exemplary embodiments, an entertainment system in a location is configured to provide jukebox-related and entertainment system mediated services that are accessible from within and from the outside of the location, and provide (1) attract or flight media operations, (2) browsing services, and/or (3) search screens appropriate to and/or customized for a particular user using the entertainment system, the location at which the entertainment system is being accessed, and/or a predefined event. Such screens may be provided with a three-dimensional look-and-feel in certain exemplary embodiments.

Abstract: The invention extends to methods, systems, and computer program products for deriving signal location information removing private information. A privacy infrastructure can apply data privacy operations to identified information prior to, during, or after any of signal ingestion, event detection, or event notification. A raw signal is ingested. A partially normalized signal is derived from the raw signal. A list of one or more geo cells where the raw signal potentially originated is accessed. A location annotation identifying a geo cell from among the one or more geo cells can be formulated. The partially normalized signal is annotated with the location annotation. In one aspect, deriving the partially normalized signal includes identifying information contained within the raw signal. At least one data privacy operation is applied to the identified information. The partially normalized signal is generated subsequent to applying the at least one data privacy operation.

Abstract: The present invention extends to methods, systems, and computer program products for consolidating information from different signals into an event. Aspects of the invention used a multiphase approach to consolidating information from different signals into (e.g., deduplicating) an event. Detected events are held in the event holding cache for some amount of time after detection in accordance event holding criteria. As events are detected, an information consolidator compares currently detected events to previously cached events. Events determined to be the same event are grouped into an event group. When holding criteria expire for an event in the event group, the event group is published to one or more entities. As such, each new detection of the event does not trigger a corresponding new notification. Different portions of content from the same signal can also be monitored to reduce duplicate detections based on different content types in the same signal.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events. A boundary geometry, a user event truthfulness preference, a first event type, a second event type, and an area are combined into a rule formula. The first event type and a first event truthfulness associated with a detected event are accessed. The second event type and a second event truthfulness associated with another detected event are accessed. It is determined that the first event type and the second event type occurred in combination in the area within a boundary defined by the boundary geometry and that the first event truthfulness and the second event truthfulness both satisfy the user event truthfulness preference. An entity is automatically electronically notified in accordance with notification preferences that the rule formula was satisfied.

Abstract: The present invention extends to methods, systems, and computer program products for event detection removing private information. In one aspect, an event detection infrastructure determines that characteristics of multiple signals, when considered collectively, indicate an event of interest to one or more parties. In another aspect, an evaluation module determines that characteristics of one or more signals indicate a possible event of interest to one or more parties. A validator then determines that characteristics of one or more other signals validate the possible event as an actual event of interest to the one or more parties. Signal features can be used to compute probabilities of events occurring. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects the integrity of private information.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events notifying entities of relevant events removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. One or more events are detected. User information is detected in one of the events. The privacy infrastructure applies a data privacy operation on the user information. It is determined that the one or events satisfies the rule formula subsequent to applying the data privacy operation.

Abstract: Examples extend to methods, systems, and computer program products for managing roadway incidents. A probable origination location of a roadway incident is identified from features of a normalized signal. One or more additional normalized signals within a specified distance of the probable origination location are accessed. The probable origination location is validated, from features of the one or more additional signals, to establish a validated origination location. An event associated with the roadway incident is detected from the features of the normalized signal based on the validated origination location. The detected event includes the validated origination location and a probability that the event is true. Dispatch of resources responding to the roadway incident event is tailored based on the validated origination location and the calculated probability.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from features derived from ingested signals. A first signal (e.g., a private signal private to an organization or non-private signal controlled by an organization) is accessed based on organizational data privacy access settings associated with the first signal. First one or more features of the first normalized signal are derived. It is determined that the first one or more features do not satisfy conditions to be identified as an event. The first one or more features are aggregated with second one or more features of a second signal into aggregated features. Access to the aggregated features is configured based on data privacy aggregation settings associated with the first signal and data privacy aggregation settings associated with the second signal. An event is detected from the aggregated features.

Abstract: The invention extends to methods, systems, and computer program products for deriving signal location information removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. A raw signal is ingested. A partially normalized signal is derived from the raw signal. A list of one or more geo cells where the raw signal potentially originated is accessed. A location annotation identifying a geo cell from among the one or more geo cells can be formulated. The partially normalized signal is annotated with the location annotation. In one aspect, deriving the partially normalized signal includes identifying user information contained within the raw signal. At least one data privacy operation is applied to the user information. The partially normalized signal is generated subsequent to applying the at least one data privacy operation.

Abstract: The present invention extends to methods, systems, and computer program products for consolidating information from different signals into an event. Aspects of the invention used a multiphase approach to consolidating information from different signals into (e.g., deduplicating) an event. Detected events are held in the event holding cache for some amount of time after detection in accordance event holding criteria. As events are detected, an information consolidator compares currently detected events to previously cached events. Events determined to be the same event are grouped into an event group. When holding criteria expire for an event in the event group, the event group is published to one or more entities. As such, each new detection of the event does not trigger a corresponding new notification. Different portions of content from the same signal can also be monitored to reduce duplicate detections based on different content types in the same signal.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events notifying entities of relevant events removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. One or more events are detected. User information is detected in one of the events. The privacy infrastructure applies a data privacy operation on the user information. It is determined that the one or events satisfies the rule formula subsequent to applying the data privacy operation.

Abstract: The present invention extends to methods, systems, and computer program products for detecting an event. A listening area is monitored based on detecting a potential event from a dimensionally reduced signal, based on characteristics of a dimensionally reduced signal, or based on a signal pattern anomaly. A geo cell database is queried with search terms derived from one or more normalized signals. A geo cell subset is returned from the geo cell database. The listening area is formed from the geo cells included in the geo cell subset and monitored for additional signals. An event is detected and/or validated (or rejected) based on the additional dimensionally reduced signal.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from features derived from ingested signals. A first signal (e.g., a private signal private to an organization or non-private signal controlled by an organization) is accessed based on organizational data privacy access settings associated with the first signal. First one or more features of the first normalized signal are derived. It is determined that the first one or more features do not satisfy conditions to be identified as an event. The first one or more features are aggregated with second one or more features of a second signal into aggregated features. Access to the aggregated features is configured based on data privacy aggregation settings associated with the first signal and data privacy aggregation settings associated with the second signal. An event is detected from the aggregated features.

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. A probability of an event occurring is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension. In one aspect, an additional signal relevant to the signal is ingested. In another aspect, a previously detected event relevant to the signal is accessed from a geo cell database. The raw signal is normalized, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events. A boundary geometry, a user event truthfulness preference, a first event type, a second event type, and an area are combined into a rule formula. The first event type and a first event truthfulness associated with a detected event are accessed. The second event type and a second event truthfulness associated with another detected event are accessed. It is determined that the first event type and the second event type occurred in combination in the area within a boundary defined by the boundary geometry and that the first event truthfulness and the second event truthfulness both satisfy the user event truthfulness preference. An entity is automatically electronically notified in accordance with notification preferences that the rule formula was satisfied.

Abstract: The present invention extends to methods, systems, and computer program products for signal normalization, event detection, and event notification using agency codes. Ingestion modules can ingest different types of raw structured and/or raw unstructured signals on an ongoing basis and possibly including agency codes. The signal ingestion modules normalize raw signals into normalized signals having a Time, Location, Context (or “TLC”) dimensions. An event detection infrastructure determines that characteristics of multiple signals, possibly including agency codes, when considered in combination, indicate an event of interest to one or more parties. Agency codes associated with events can be translated between agency code languages and/or between different agencies/jurisdictions.

Abstract: The invention extends to methods, systems, and computer program products for detecting events from a signal features matrix. A two-dimensional signal evidence matrix is formed is populated with the plurality of signal pairings. Per signal pairing, a pairing probability is computed based on one or more of: (a) source diversity between the signals in the signal pairing, (b) pairing frequency indicating how often signal types corresponding to the signals in the signal pair are paired together, (c) pairing strength derived from a confidence associated with each signal in the signal pairing, (d) pairing time derived from a time associated with each signal in the signal pairing, or (e) pairing location derived from a location associated with each signal in the signal pairing. The plurality of pairing probabilities is aggregated into an aggregated probability. The real-world event is detected from evidence provided by the aggregated probability.

Abstract: The present invention extends to systems and methods for notifying entities of relevant events notifying entities of relevant events removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. One or more events are detected. User information is detected in one of the events. The privacy infrastructure applies a data privacy operation on the user information. It is determined that the one or events satisfies the rule formula subsequent to applying the data privacy operation.

Abstract: The invention extends to methods, systems, and computer program products for deriving signal location information removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. A raw signal is ingested. A partially normalized signal is derived from the raw signal. A list of one or more geo cells where the raw signal potentially originated is accessed. A location annotation identifying a geo cell from among the one or more geo cells can be formulated. The partially normalized signal is annotated with the location annotation. In one aspect, deriving the partially normalized signal includes identifying user information contained within the raw signal. At least one data privacy operation is applied to the user information. The partially normalized signal is generated subsequent to applying the at least one data privacy operation.

Abstract: The present invention extends to methods, systems, and computer program products for event detection removing private information. In one aspect, an event detection infrastructure determines that characteristics of multiple signals, when considered collectively, indicate an event of interest to one or more parties. In another aspect, an evaluation module determines that characteristics of one or more signals indicate a possible event of interest to one or more parties. A validator then determines that characteristics of one or more other signals validate the possible event as an actual event of interest to the one or more parties. Signal features can be used to compute probabilities of events occurring. A privacy infrastructure spans signal ingestion, event detection, and event notification and protects the integrity of private information.