Abstract:
A method and system is provided for creating an intelligent social network between a plurality of devices participating in a social network over internet. Particularly, the disclosure provides a method and system for creating an intelligent social network of a plurality of devices, wherein an intent of at least one user of a first device is detected by one or more of subsequent devices out of the plurality of devices based on one or more pre-defined parameters; a match between one or more common intent of the user of the first device and the one or more users of the one or more subsequent devices is detected and information pertaining to the same is transmitted for enabling communication and formation of intelligent social network between the first device and the one or more of subsequent devices.
Abstract:
The present invention provides the multimodality filtration surveillance comprising of a plurality of filtration stages executed at the backend server to confirm nature of anomaly in an event, the filtration stages comprising: a first filter of a video anomalies detection in the event for a specified time-place value, a second filter of a city soundscape adapted to provide a localized decibel maps of a city, a third filter of a geocoded social network adapted to semantically read and analyze data from one or more social media corresponding to the specified time-place value, and a fourth filter of an event triggered or proactive local participatory surveillance adapted to provide augmented information on the detected anomalies.
Abstract:
A method and system for identifying personal context of a user having a portable mobile communication device at a particular location for deriving social interaction information of the user, wherein the user within a predefined range is identified using personal context of the user at the particular location and the identified personal context of the user is assigned with the confidence value. Further the current location information of the user within the particular location is obtained by fusing assigned confidence value. Further the proximity of the user in the current location is estimated by finding the accurate straight line distance between users. Further the two users having similar current location information at the particular location are grouped together with the predefined density criteria. Finally the social interaction information of the user is derived by multimodal sensor data fusion at the fusion engine and represented using a human network graph.
Abstract:
The present invention provides the multimodality filtration surveillance comprising of a plurality of filtration stages executed at the backend server to confirm nature of anomaly in an event, the filtration stages comprising: a first filter of a video anomalies detection in the event for a specified time-place value, a second filter of a city soundscape adapted to provide a localized decibel maps of a city, a third filter of a geocoded social network adapted to semantically read and analyze data from one or more social media corresponding to the specified time-place value, and a fourth filter of an event triggered or proactive local participatory surveillance adapted to provide augmented information on the detected anomalies.
Abstract:
The application provides a method and system for automatically recommending television program to a user. The application provides a method and system for recommending related television programs while viewing video on internet based, using context of the said video. Further, the application provides a method and system for extracting electronic program guide information for all the channels available on the television and correlating them for recommending related television programs.
Abstract:
A method and system is provided for determining and displaying least water logging prone route, from a source location to a destination location specified by a user, during a water logging condition in an area. Particularly, the invention provides a method and system for utilizing Global Positioning System (GPS) information including the source and destination location coordinates for determining the at least one alternate route to a user from the at least two routes from the source location to the destination location and rendering result on the user's portable communication device.
Abstract:
The application provides a method and system for automatically recommending television program to a user. The application provides a method and system for recommending related television programs while viewing video on internet based, using context of the said video. Further, the application provides a method and system for extracting electronic program guide information for all the channels available on the television and correlating them for recommending related television programs.
Abstract:
A method and system is provided for creating an intelligent social network between a plurality of devices participating in a social network over internet. Particularly, the disclosure provides a method and system for creating an intelligent social network of a plurality of devices, wherein an intent of at least one user of a first device is detected by one or more of subsequent devices out of the plurality of devices based on one or more pre-defined parameters; a match between one or more common intent of the user of the first device and the one or more users of the one or more subsequent devices is detected and information pertaining to the same is transmitted for enabling communication and formation of intelligent social network between the first device and the one or more of subsequent devices.
Abstract:
A method and system for identifying personal context of a user having a portable mobile communication device at a particular location for deriving social interaction information of the user, wherein the user within a predefined range is identified using personal context of the user at the particular location and the identified personal context of the user is assigned with the confidence value. Further the current location information of the user within the particular location is obtained by fusing assigned confidence value. Further the proximity of the user in the current location is estimated by finding the accurate straight line distance between users. Further the two users having similar current location information at the particular location are grouped together with the predefined density criteria. Finally the social interaction information of the user is derived by multimodal sensor data fusion at the fusion engine and represented using a human network graph.