최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0829849 (2017-12-01) |
등록번호 | US-10142377 (2018-11-27) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 0 인용 특허 : 505 |
A system includes a client device capable of being associated with a number of networked devices through a computer network to: process an embedded object, constrain an executable environment in a security sandbox, and execute a sandboxed application in the executable environment. The embedded objec
A system includes a client device capable of being associated with a number of networked devices through a computer network to: process an embedded object, constrain an executable environment in a security sandbox, and execute a sandboxed application in the executable environment. The embedded object is processed through the sandboxed application. The system also includes a relevancy-matching server to: receive primary data generated from fingerprint data of each of the number of networked devices, match the primary data with targeted data based on a relevancy factor, search a storage for the targeted data, and cause rendering of the targeted data through the embedded object processed through the sandboxed application of the client device. The primary data is any one of a content identification data and a content identification history.
1. A system comprising: a client device capable of being associated with a plurality of networked devices through a computer network to: process an embedded object,constrain an executable environment in a security sandbox, andexecute a sandboxed application in the executable environment, the embedde
1. A system comprising: a client device capable of being associated with a plurality of networked devices through a computer network to: process an embedded object,constrain an executable environment in a security sandbox, andexecute a sandboxed application in the executable environment, the embedded object being processed through the sandboxed application; anda relevancy-matching server to: receive primary data generated from fingerprint data of each of the plurality of networked devices,match the primary data with targeted data based on a relevancy factor,search a storage for the targeted data, andcause rendering of the targeted data through the embedded object processed through the sandboxed application of the client device,wherein the primary data is any one of a content identification data and a content identification history. 2. The system of claim 1: wherein the fingerprint data is any one of an audio fingerprint data and a video fingerprint data,wherein at least one of the embedded object and the sandboxed application is configured to bypass at least one access control of the security sandbox through any one of the sandboxed application and the embedded object, andwherein the bypassing of the at least one access control of the security sandbox comprises at least one of a cross-site scripting technique, an appended header, a same origin policy exception, and another mode of bypassing a number of access controls of the security sandbox. 3. The system of claim 1: wherein the relevancy-matching server matches the targeted data with the primary data based on searching the storage for at least one of a matching item and a related item based on the relevancy factor comprising at least one of a category of the primary data, a behavioral history of a user, a category of the sandboxed application, and another information associated with the user. 4. The system of claim 1, further comprising a pairing server to: associate the each networked device with the client device,receive an announcement from the each networked device, andprocess an identification data of the announcement comprising at least one of a global unique identifier (GUID), an alphanumeric name, a hardware address associated with the each networked device, a public address associated with an automatic content identification service of the each networked device, and a private address associated with the automatic content identification service of the each networked device when a shared network is determined to be commonly associated with the client device and the each networked device. 5. The system of claim 1: wherein the embedded object comprises at least one of a script, an image, a player, an iframe, and another external media included in the sandboxed application. 6. The system of claim 1: wherein the client device is determined to be associated with a user based on a unique identifier that is unlikely to change. 7. The system of claim 1: wherein the primary data comprises at least one of a number of descriptive metadata associated with the content identification data, a monitored event, a geolocation, a weather information, a private Internet Protocol (IP) address, and another data stored in at least one of a volatile memory and a non-volatile memory. 8. The system of claim 4: wherein the each networked device automatically announces an automatic content identification service thereof to the pairing server. 9. The system of claim 1, wherein the relevancy-matching server is configured to generate the received primary data thereat from the fingerprint data of the each networked device. 10. The system of claim 7, wherein the relevancy-matching server is further configured to create subsets of all received primary data from the plurality of networked devices based on at least one of: the at least one of the number of descriptive metadata and a demographic profile of a user of the each networked device. 11. The system of claim 1, wherein the relevancy-matching server is further configured to group all received primary data from the plurality of networked devices into a larger group of primary data. 12. The system of claim 1, wherein the fingerprint data is one of: generated by the each networked device, andgenerated by the client device from at least one of: audio information and video information received from the each networked device. 13. A method comprising: associating a client device with a plurality of networked devices through a computer network;processing an embedded object through the client device;constraining an executable environment in a security sandbox of the client device;executing a sandboxed application in the executable environment of the client device, the embedded object being processed through the sandboxed application; andthrough a relevancy-matching server, receiving primary data generated from fingerprint data of each of the plurality of networked devices;matching the primary data with targeted data based on a relevancy factor;searching a storage for the targeted data; andcausing rendering of the targeted data through the embedded object processed through the sandboxed application of the client device,wherein the primary data is any one of a content identification data and a content identification history. 14. The method of claim 13, further comprising: enabling at least one of the embedded object and the sandboxed application to bypass at least one access control of the security sandbox through any one of the sandboxed application and the embedded object,wherein the bypassing of the at least one access control of the security sandbox comprises at least one of a cross-site scripting technique, an appended header, a same origin policy exception, and another mode of bypassing a number of access controls of the security sandbox, andwherein the fingerprint data is any one of an audio fingerprint data and a video fingerprint data. 15. The method of claim 13, comprising: matching, through the relevancy-matching server, the targeted data with the primary data in accordance with searching the storage for at least one of a matching item and a related item based on the relevancy factor comprising at least one of a category of the primary data, a behavioral history of a user, a category of the sandboxed application, and another information associated with the user. 16. The method of claim 13, further comprising, through a pairing server: associating the each networked device with the client device,receiving an announcement from the each networked device, andprocessing an identification data of the announcement comprising at least one of a GUID, an alphanumeric name, a hardware address associated with the each networked device, a public address associated with an automatic content identification service of the each networked device, and a private address associated with the automatic content identification service of the each networked device when a shared network is determined to be commonly associated with the client device and the each networked device. 17. The method of claim 13, wherein at least one of: the embedded object comprises at least one of a script, an image, a player, an iframe, and another external media included in the sandboxed application, andthe client device is determined to be associated with a user based on a unique identifier that is unlikely to change. 18. The method of claim 13: wherein the primary data comprises at least one of a number of descriptive metadata associated with the content identification data, a monitored event, a geolocation, a weather information, a private IP address, and another data stored in at least one of a volatile memory and a non-volatile memory. 19. The method of claim 16, comprising the each networked device automatically announcing an automatic content identification service thereof to the pairing server. 20. The method of claim 13, comprising the relevancy-matching server generating the received primary data thereat from the fingerprint data of the each networked device. 21. The method of claim 18, comprising the relevancy-matching server creating subsets of all received primary data from the plurality of networked devices based on at least one of: the at least one of the number of descriptive metadata and a demographic profile of a user of the each networked device. 22. The method of claim 13, comprising the relevancy-matching grouping all received primary data from the plurality of networked devices into a larger group of primary data. 23. The method of claim 13, comprising generating the fingerprint data through one of: the each networked device, andthe client device from at least one of: audio information and video information received from the each networked device. 24. A non-transitory machine-readable medium, readable through a system comprising a client device and a relevancy-matching server and comprising instructions embodied therein that are executable through the system, comprising instructions to: associate the client device with a plurality of networked devices through a computer network;process an embedded object through the client device;constrain an executable environment in a security sandbox of the client device;execute a sandboxed application in the executable environment of the client device, the embedded object being processed through the sandboxed application; andthrough the relevancy-matching server: receive primary data generated from fingerprint data of each of the plurality of networked devices;match the primary data with targeted data based on a relevancy factor;search a storage for the targeted data; andcause rendering of the targeted data through the embedded object processed through the sandboxed application of the client device,wherein the primary data is any one of a content identification data and a content identification history. 25. The non-transitory machine-readable medium of claim 24, comprising instructions compatible with the primary data comprising at least one of a number of descriptive metadata associated with the content identification data, a monitored event, a geolocation, a weather information, a private IP address, and another data stored in at least one of a volatile memory and a non-volatile memory. 26. The non-transitory machine-readable medium of claim 24, comprising instructions to generate, through the relevancy-matching server, the received primary data thereat from the fingerprint data of the each networked device. 27. The non-transitory machine-readable medium of claim 25, comprising instructions to create, through the relevancy-matching server, subsets of all received primary data from the plurality of networked devices based on at least one of: the at least one of the number of descriptive metadata and a demographic profile of a user of the each networked device. 28. The non-transitory machine-readable medium of claim 24, comprising instructions to group, through the relevancy-matching server, all received primary data from the plurality of networked devices into a larger group of primary data. 29. The non-transitory machine-readable medium of claim 24, comprising instructions compatible with generating the fingerprint data through one of: the each networked device, andthe client device from at least one of: audio information and video information received from the each networked device.
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