Tata Consultancy Services Limited

Priyanka Sinha

Avik Ghose

Chirabrata Bhaumik

Arpan Pal

Aniruddha Sinha

Diptesh Das

Balamuralidhar Purushothaman

Rohan Banerjee

Sunil Kumar Kopparapu

Anirban Dutta Choudhury

Prateep Misra

Ranjan Dasgupta

Amit Kumar Agrawal

Rohit Gupta

Dhiman Chattopadhyay

Provat Biswas

Bhaumik Chirabrata

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.

Method and system for television program recommendation

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.

Event triggered location based participatory surveillance

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.

Method and system for creating an intelligent social network between a plurality of devices

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.

System and method for identifying and analyzing personal context of a user

The present invention relates to a system and method of effective physical data aggregation and its logical analytics by way of utilizing socially interacting and networking platforms to create meaningful association and relevancy between the captured physical data. The physical data associated by social networking platforms results in creation of reduced data set for analytics and requires low processing requirements for application usage.

Social network graph based sensor data analytics

A method and system for tracking of objects in a video is disclosed. The method of the present invention enables user to indicate a boundary-box to the identified object of interest in the broadcast video on television or any other communication media. The object indicted in the boundary-box is than tracked by the users connected in a social community network in the upcoming video frames of the broadcasted video. The tracked object is then tagged by the users in the social community network. Further, the present invention enables augmentation of the tracked object in the video by extracting additional information from the online service providers. The augmentation and tagging of the object generates metadata related to the object. The metadata generated is stored on a server to track the object in future based on the metadata related to the object.

Method and system for automatic tagging in television using crowd sourcing technique

The present invention provides a method and system for implementation of an interactive television application. Particularly, the invention provides method and system for designing and implementation of synchronized interactive television applications using quick response (QR) code, wherein the quick response (QR) code is used to tag the broadcasted television content. More particularly, the invention provides method and system for decoding the quick response (QR) code at the receiver side to provide a universal resource locator (URL) which hosts augmented services for the content on the interactive television as well as on the secondary communication device.

Growing community of inventors

Kolkata, India

Priyanka Sinha