Abstract: The present invention extends to methods, systems, and computer program products for detecting events from ingested data streams. A data stream is ingested. A first score is computed from a portion of the data stream. The first score indicates a likelihood of the video stream including event information. Computing resources are allocated to further process the data stream portion based on the first score indicating that further processing is warranted. A second score is computed from parameters of the data stream portion. An event is detected based on the second score.

Abstract: The present invention extends to methods, systems, and computer program products for notifying entities of relevant events. An event feed containing a plurality of events is received. Each event includes an event location, an event category, an event an event truthfulness, an event severity, and an event time. Entity notification preferences defining events relevant to an entity are accessed. Location and distance preferences collectively define an interest in events within a specified distance of one or more locations. The time preferences define that event notification occur at least within a specified time period of event detection. For an event in the event feed, characteristics of the event are compared to the entity notification preferences. It is determined that the event satisfies the entity notification preferences based on the comparisons. The entity (or another entity) is notified of the event in compliance with the time preferences.

Abstract: Embodiments of a method and/or system for facilitating event-based vehicle operation can include determining a vehicle route; determining geographic regions for the vehicle route; monitoring the determined geographic regions for events; determining an event of interest from the detected events; and/or dynamically facilitating modification of vehicular operation of the vehicle based on the event of interest, such as in response to determination of the event of interest. In one aspect, a vehicle is routed towards an event of interest and assists in remediating the event (or an impact thereof).

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information. A Public Safety Answering Point receives an emergency (e.g., 911) call from a mobile device. Parts of the emergency call are processed to identify an emergency call location. Characteristics of the emergency call are combined with characteristics of other signals to identify and emergency call event, including the emergency call location. The emergency call event is sent to the Public Safety Answering Point. Prior to receiving phase II data and possibly even prior to receiving phase I data, the Public Safety Answering Point receives the event. The Public Safety Answering Point tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the originating location.

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 normalized signal, based on characteristics of a normalized 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 normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for ingesting streaming signals. Signal ingestion modules sample a frame from a raw streaming signal. A preliminary severity or possible event type is computed from the sampled frame. A deeper inspection request is triggered of the raw streaming signal or of another raw streaming signal. Segments of content from the raw streaming signal or the other raw streaming signal are inspected. An actual severity or actual event type is computed from the inspected content. The actual severity or actual event type can be included in a normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for deriving signal location from signal content. In general, signal ingestion modules ingest different types of raw structured and/or raw unstructured signals on an ongoing basis. The signal ingestion modules normalize raw signals to form normalized signals. In one aspect, a raw signal is ingested. A derived 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 is formulated. The derived signal is annotated with the location annotation. A location in a two dimensional space is determined from the location annotation. The location is inserted into the derived signal forming a normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for storing and validating the integrity of event related information. To facilitate auditing and traceability, raw signals, normalized signals, detected events, event expirations, and event notifications can be stored in a queryable distributed ledger (e.g., a blockchain). Personal information can be stripped (or otherwise rendered inert, for example, unrecognizable, unreproducible, etc.) prior to storage into the distributed ledger minimizing the possibility of a person being identified. Ledger data can be used to verify actual data as well as for forensics purposes, such as, to audit data, recreate events, etc., in view of an error or inconsistency to investigate, diagnose, remediate, etc.

Abstract: The present invention extends to methods, systems, and computer program products for detecting and validating planned event information. A plurality of normalized signals is accessed. Planned event data across the plurality of normalized signals is checked for inconsistencies. Any inconsistencies are resolved in an automated fashion, for example, through reference to databases containing additional information. A planned event can be detected/validated from concurring and/or resolved planned event data. A validator can refer to an event history database and/or a planning system to validate a possible planned event as an actual planned event.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from features derived from multiple signals. 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.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from features derived from multiple signals. 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.

Abstract: The present invention extends to methods, systems, and computer program products for presenting event intelligence and trends tailored per geographic area granularity. Event related data can be combined with information from other domains to enable intelligent decision making within those domains. Responsive to user commands, graphical presentation can be tailored to a geographic granularity and can vary between geographic granularities. Event related information and other information for a defined area as well as adjacent areas can be at least partially summarized based on geographic granularity. At least partially summarizing data for currently presented areas as well as adjacent areas reduces resource consumption when moving between presented areas, for example, in a map. The level of summarization can be a tailored to a selected geographic granularity. As such, overall presented graphical data (e.g., total number of icons) can be relatively stable, and possibly tuned to available computing resources.

Abstract: The present invention extends to methods, systems, and computer program products for detecting and validating planned event information. A plurality of normalized signals is accessed. Planned event data across the plurality of normalized signals is checked for inconsistencies. Any inconsistencies are resolved in an automated fashion, for example, through reference to databases containing additional information. A planned event can be detected/validated from concurring and/or resolved planned event data. A validator can refer to an event history database and/or a planning system to validate a possible planned event as an actual planned event.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from ingesting communication streams. A communication stream is ingested. A first score is computed from a portion of the communication stream. The first score indicates a likelihood of the communication stream including event information. Computing resources are allocated to further process the communication stream portion based on the first score indicating that further processing is warranted. A second score is computed from parameters of the communication stream portion. An event is detected based on the second score.

Abstract: The method for model management includes, within a testing platform: building candidate model(s), validating the candidate model(s), and selectively deploying the candidate model(s) into a production environment. The method can optionally include, within a production environment: detecting a class instance based on the raw data using deployed model(s) within the production environment, and transmitting a notification to an endpoint associated with the detected class.

Abstract: The present invention extends to methods, systems, and computer program products for detecting an event from signals in a listening area. Listening area formation is triggered based on detecting a potential event from a normalized signal, based on characteristics of a normalized 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. A listening area is formed from the geo cells included in the geo cell subset. A listener monitors an additional normalized signal in the listening area. An event is detected and/or validated (or rejected) based on the additional normalized signal.

Abstract: A method for user-generated content privacy control, including: detecting a trigger event, identifying a post for permissions analysis, determining permissions for the post, and storing the updated permissions in a post indexing system.

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. Evidence of an event 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 into a Time, Location, Context (TLC) format. In one aspect, an additional raw signal related to the detected evidence is accessed from another signal source. In another aspect, a previously detected event related to the detected evidence is received from a geo cell database. The raw signal is normalized into the Time, Location, Context (TLC) format, 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 methods, systems, and computer program products for presenting event intelligence and trends tailored per geographic area granularity. Event related data can be combined with information from other domains to enable intelligent decision making within those domains. Responsive to user commands, graphical presentation can be tailored to a geographic granularity and can vary between geographic granularities. Event related information and other information for a defined area as well as adjacent areas can be at least partially summarized based on geographic granularity. At least partially summarizing data for currently presented areas as well as adjacent areas reduces resource consumption when moving between presented areas, for example, in a map. The level of summarization can be a tailored to a selected geographic granularity. As such, overall presented graphical data (e.g., total number of icons) can be relatively stable, and possibly tuned to available computing resources.

Abstract: The present invention extends to methods, systems, and computer program products for deriving signal location from signal content. A raw signal is ingested. A partially normalized signal is derived from the raw signal. One or more named entities are recognized from content included in the raw signal. A geo cell database is queried with the one or more recognized named entities. A geo cell where the raw signal originated is identified. The partially normalized signal is annotated with a location annotation identifying the geo cell. A location is determined from the location annotation. The location is inserted into the partially normalized signal to form a normalized signal.