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Sports Analytics

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Patent 10795560


Issued 2020-10-06

System And Method For Detection And Visualization Of Anomalous Media Events

Methods and systems for detection and visualization of anomalous media events are described, where AV media data of a sporting event (game) are analyzed to identify AV media segments indicative of unscripted anomalous events (AE's) that elicit a social media response (SMR), and selectable AE graphic visualization (or AE GUI) is provided showing the position of the AE on the court or field of play graphic, corresponding to the actual field of play, as a form of augmented reality. The graphic may also show the level of interest and the sentiment allocation (positive, negative, neutral) for each AE, a social media source allocation, details about the AE, social media posts, and other graphic display features related to the AE. Feedback may also be provided to adjust the logic that identifies AE. AE Alerts may also be sent to users autonomously or based on user-set parameters.


Classification


Much More than Average Length Specification


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3 Independent Claims

  • Independent Claim 1. A method for identifying at least one anomalous event (AE) within a sporting event and identifying and displaying the location of the AE and a social media response tothe AE, comprising: receiving AV media data indicative of the sporting eventidentifying the AE within the AV media datadetermining the location of the AE on the actual field of play, an AE time of occurrence, and identifying one or more AE featuresof the AEreceiving social media dataidentifying at least one social media response (SMR) related to the AE within the social media data, comprising: analyzing the social media data within a sample window timeframe of the AE time of occurrenceidentifying one or more SMR features of the social media data within the sample window timeframeand identifying the SMR having the SMR features that match a predetermined number of the AE features, as the at least one SMRdetermining at least onesocial media parameter associated with the at least one SMR, wherein the at least one social media parameter comprises at least one of: a total number of the SMRs related to the AE, a sentiment allocation for a plurality sentiments associated with theSMR related to the AE, a sentiment allocation associated with the SMR, social media sources posting the SMRs related to the AE, and an allocation of a plurality of social media sources providing the SMRs related to the AEproviding a graphic userinterface (GUI) showing a virtual version of a field of play and at least one AE graphic on the virtual field of play, the AE graphic comprising a selectable graphical image indicative of the AE and positioned at a location indicative of real timespatial coordinates on the virtual field of play corresponding to the location of the AE on the actual field of play and at least one visual aspect of the AE graphic being indicative of the at least one social media parameter associated with the SMRrelated to the AE, wherein the at least one visual aspect of the AE graphic comprises at least one of: (i) a size of the AE graphic corresponding to the total number of the SMRs related to the AE and (ii) a shading of the AE graphic corresponding to thesentiment allocation associated with the SMR related to the AE or the allocation of the plurality of social media sources providing the SMRs related to the AEand wherein the AE graphic is updated according to the received social media data during thesample window timeframe.

  • Independent Claim 22. A method for identifying at least one anomalous event (AE) within a sporting event and identifying and displaying at least one of the time and location of the AE and a social media response (SMR) related to the AE, comprising: receiving AVmedia data indicative of the sporting eventidentifying the AE within the AV media data, the location of the AE on the actual field of play, an AE time of occurrence, and one or more AE features of the AEreceiving social media dataidentifying atleast one social media response (SMR) related to the AE within the social media data, comprising: analyzing the social media data within a sample window timeframe of the AE time of occurrenceidentifying one or more SMR features of the social mediadata within the sample window timeframeand identifying the SMR having the SMR features that match a predetermined number of the AE features, as the at least one SMRdetermining at least one social media parameter associated with the at least oneSMR, wherein the at least one social media parameter comprises at least one of: a total number of the SMRs related to the AE, a sentiment allocation for a plurality of sentiments associated with the SMR related to the AE, a sentiment allocationassociated with the SMR, social media sources posting the SMRs related to the AE, and an allocation of a plurality of social media sources providing the SMRs related to the AEand providing a graphic user interface (GUI) showing: (i) a virtual versionof the field of play and at least one AE graphic on the virtual field of play, the AE graphic comprising a selectable graphical image indicative of the AE and positioned at a location indicative of real-time spatial coordinates on the virtual field ofplay corresponding to the location of the AE on the actual field of play and at least one visual aspect of the AE graphic being indicative of the at least one social media parameter associated with the SMR related to the AE, wherein the at least onevisual aspect of the AE graphic comprises at least one of: (i) a size of the AE graphic corresponding to the total number of the SMRs related to the AE and (ii) a shading of the AE graphic corresponding to the sentiment allocation associated with the SMRrelated to the AE or the allocation of the plurality of social media sources providing the SMRs related to the AEand (ii) an AE timeline having the at least one AE graphic positioned along the AE timeline corresponding to the AE time of occurrenceand wherein the AE graphic is updated according to the received social media data during the sample window timeframe.

  • Independent Claim 27. A method for identifying at least one anomalous event (AE) within a sporting event and identifying and displaying the time of the AE and a social media response (SMR) related to the AE, comprising: receiving AV media data indicative of thesporting eventidentifying the AE within the AV media data, the location of the AE on the actual field of play, an AE time of occurrence, and one or more AE features of the AEreceiving social media dataidentifying at least one SMR related to theAE within the social media data, comprising: analyzing the social media data within a sample window timeframe of the AE time of occurrenceidentifying one or more SMR features of the social media data within the sample window timeframeandidentifying the SMR having the SMR features that match a predetermined number of the AE features, as the at least one SMRdetermining at least one social media parameter associated with the at least one SMR, wherein the at least one social mediaparameter comprises at least one of: a total number of the SMRs related to the AE, a sentiment allocation for a plurality of sentiments associated with the SMR related to the AE, a sentiment allocation associated with the SMR, social media sourcesposting the SMRs related to the AE, and an allocation of a plurality of social media sources providing the SMRs related to the AEproviding a graphic user interface (GUI) showing a virtual version of a field of play and at least one AE graphic on thevirtual field of play, the AE graphic comprising a selectable graphical image indicative of the AE and positioned at a location indicative of real-time spatial coordinates on the virtual field of play corresponding to the location of the AE on the actualfield of play and at least one visual aspect of the AE graphic being indicative of the at least one social media parameter associated with the SMR related to the AE, wherein the at least one visual aspect of the AE graphic comprises at least one of: (i)a size of the AE graphic corresponding to the total number of the SMRs related to the AE and (ii) a shading of the AE graphic corresponding to the sentiment allocation associated with the SMR related to the AE or the allocation of the plurality of socialmedia sources providing the SMRs related to the AEwherein the interface (GUI) also showing an AE timeline and the at least one AE graphic positioned along the AE timeline corresponding to the AE time of occurrenceand wherein the AE graphic isupdated according to the received social media data during the sample window timeframe.