Sling Media Pvt. Ltd.

Dish Network Technologies India Private Limited

Sling Media Inc.

Arun Lokman Gangotri

Alexander Gurzhi

Venkatesan Thiyagarajan

Sachin D Mule

Madan Mohan Nayak

Avinash Chandra Lohumi

Debashish Sahoo

Balarama Mathukumilli

A method for brand recognition in video by implementing a brand recognition application coupled to a streaming media player, for identifying an observed set of brands streamed in a broadcast video; receiving, by the brand recognition application, a broadcast video stream of a series of images contained in consecutive frames about an object of interest; extracting a set of brand features from each of image received by applying a trained brand recognition model with neural networks in order to detect one or more features related to each displayed object of interest in each frame, wherein the object of interest is associated with a brand image contained video content displayed to a viewer; and displaying, by a graphic user interface, information from the brand recognition application comprising at least time detected of the brand image in the video content of the broadcast video.

Method and system for analyzing live broadcast video content with a machine learning model implementing deep neural networks to quantify screen time of displayed brands to the viewer

A method and system for voice emotion identification contained in audio in a call providing customer support between a customer and a service agent by implementing an emotion identification application to identify emotions captured in a voice of the customer from audio received by a media streaming device; receiving, by the emotion identification application, an audio stream of a series of voice samples contained in consecutive frames from audio received; extracting, by the emotion identification application, a set of voice emotion features from each frame in each voice sample of the audio by applying a trained machine learning (ML) model for identifying emotions utilizing a neural networks to determine one or more voice emotions by a configured set of voice emotion features captured in each voice sample; and classifying, by the emotion identification application, each emotion determined by the trained ML model based on a set of classifying features to label one or more types of emotions captured in each voice sample.

Method and system for analyzing customer calls by implementing a machine learning model to identify emotions

Systems, methods, and program products are provided for selectively restricting the transmission of copy protected digital media content from a computer system, over a network, and to a remote display. In one embodiment, a method includes the steps of capturing digital media content rendered on the local display by a media player application executed by the computer system; determining whether the media player application is accessing copy protected digital media content; and, if the media player application is not accessing copy protected digital media content, converting the captured digital media content to a media stream and transmitting the media stream over a network for presentation on a remote display.

Systems, methods, and program applications for selectively restricting the placeshifting of copy protected digital media content

A method of providing a description of a remote control device to a communication device configured to interact with an electronic device over a communication network as a remote control device is presented. In the method, the communication device transfers an indication of the electronic device over the network to a communication node. Afterward, the communication device receives the description of the remote control device associated with the electronic device from the node over the network. The communication device transfers a command associated with the remote control device over the network to the electronic device, wherein the command is generated using the description of the remote control device.

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Bengaluru, India

Arun Lokman Gangotri