Samsung Electronics Co., Ltd.

Sujit Kumar Sinha

Srinivas H Kasal

Nitesh Laller

Prashant Srivastava

A text reconstruction system for reconstructing a primary text data is provided. A voice input signal of a user is converted into an input text data by a speech recognition module. A text classifier module generates one or more tokens and adds the tokens into a word bag corresponding to the user. A text identifier module generates a text corpus based on the input text data. A user profile builder module creates a user profile based on the word bag, the input text data, and the text corpus. A decision module determines, based on the word bag, whether the primary data is to be reconstructed and reconstructs the primary text data to generate a personalized text data based on the user profile.

Text reconstruction system and method thereof

A method in a networking environment to generate personalized data-streaming for a multimedia playback device is provided. The method includes deploying an ABR based data-streaming logic as a base-model at a multimedia playback device, obtaining parameters for a time duration based on a multimedia-playback at the multimedia playback device, obtaining a statistical mean for the parameters based on a first statistical analysis, identifying a parameter from the parameters by comparing the obtained mean against a threshold weight associated with the parameters in accordance with the base model, scaling the identified parameter in a predefined format as training, applying a second statistical analysis to the identified parameter of the playback device and another playback device for determining a covariance between both devices and determining a category of the playback device based on the covariance and deploying a version of the trained base model upon the playback device based on the category.

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Noida, India

Sujit Kumar Sinha