Sling Media Pvt. Ltd.

Dish Network Technologies India Private Limited

Sling Media Pvt Plt

Varunkumar B Tripathi

Yatish Jayant Naik Raikar

Yatish J Naik Raikar

Rakesh Ramesh

Kiran Chittella

Arunoday Thammineni

Sushant Sudhir Kulkarni

Arun Pulasseri Kalam

Mohammed Rasool

Laxminarayana Dalimba

Vikal Kumar Jain

Sanjiv Topiwalla

Vivek Devaraj

Abhiroop Boggavarapu

Soham Sahabhaumik

Karthik Mahabaleshwar Hegde

Abhilash Magan Vensiyani

Vinayak Kulkarni

Jayaprakash Narayanan Ramaraj

Rueju Namath

Bharani Gopinath

Sushant Sudhir Kulkami

An example method includes the steps of receiving an encoded video packet including a packet header and generating a modified packet header. The modified packet header is generated by setting a first value in the packet header to indicate zero reference frames, and by setting a second value in the packet header designating an i-frame as unused for reference. The i-frame is decoded in response to the modified packet header to extract the i-frame without caching the i-frame in a decoded picture buffer. A thumbnail image is generated and includes an image from the i-frame. The thumbnail image is stored directly in memory.

Method and apparatus for thumbnail generation for a video device

Systems and methods for intelligent playback of media content may include an intelligent media playback system that, in response to determining the speech tempo in audio content by measuring syllable density of speech in the audio content, automatically adjusts a playback speed of the audio content as the audio content is being played based on the determined speech tempo. In some embodiments, the system may automatically and dynamically adjust the playback speed to result in a desired target speech tempo. In addition, the system may determine whether to automatically adjust playback speed of the audio content, as the media is being played, based on the detected speech tempo of the speech in the audio content and the determined type of content of media. Such automatic adjustments in playback speed result in more efficient playback of the audio content.

Systems and methods for intelligent playback

Systems and processes are provided to generate and transmit a thumbnail image for a video searching function including a video input configured to receive a video signal, a processor configured to decode the video signal to generate a video program, to generate a plurality of thumbnail images in response to the video program, to determine a subset of the plurality of thumbnail images in response to a client request and to couple the subset of the plurality of thumbnail images to a network interface, and the network interface configured to transmit and receive data on a local area network, the network interface being operative to receive the client request from a client device and to transmit the subset of the plurality of thumbnail images to the network interface for transmission to the client device.

Systems and processes are provided to generate a thumbnail image including a tuner configured for receiving and demodulating a video signal including a video packet having a packet header and a video frame, a processor configured for generating a modified packet header by modifying the packet header to set a number of reference frames to zero and to designate the video frame as unused for reference, decoding the video frame in response to the modified packet header to extract the video frame, and generating the thumbnail image in response to the video frame, a memory configured for storing the thumbnail image, and a video output configured for coupling the thumbnail image to a display in response to a user video search request.

Systems and methods enrich speech to text communications between users in speech chat sessions using a speech emotion recognition model to convert observed emotions in speech samples to enrich text with visual emotion content. The method may include generating a data set of speech samples with labels of a plurality of emotion classes, selecting a set of acoustic features from each of the emotion classes, generating a machine learning (ML) model based on the acoustic features and data set, applying the set of rules based on the selected set of acoustic features and data set, computing a number of rules that have been satisfied, and presenting the enriched text in speech-to-text communications between users in the chat session for visual notice of an observed emotion in the speech sample.

Method and system for speech emotion recognition

Various arrangements for generating thumbnail images for video content as the video content is being received are presented. Video content may be initially received. A thumbnail generation process may be woken from a sleep state based on a predefined time period elapsing. The received video content may be monitored for a next-received I-frame. A thumbnail image may be created from the I-frame and may be mapped to a timestamp. The thumbnail generation process may then be caused to enter the sleep state for the predefined time period.

Live thumbnail image generation

A method for speech emotion recognition for enriching speech to text communications between users in speech chat sessions including: implementing a speech emotion recognition model to enable converting observed emotions in speech samples to enrich text with visual emotion content by: generating a data set of speech samples with labels of a plurality of emotion classes; extracting a set of acoustic features from each of the emotion classes; generating a machine learning (ML) model based on the acoustic features and data set; training the ML model from acoustic features from speech samples during speech chat sessions; predicting emotion content based on a trained ML model in the observed speech; generating enriched text based on predicted emotion content of the trained ML model; and presenting the enriched text in speech to text communications between users in the chat session for visual notice of an observed emotion in the speech sample.

Seek and other trick play functions can be improved in placeshifting and similarly live-encoded video streams. Thumbnail images are derived from I-frames (or similar key frames) of the source video stream rather than from the live-encoded stream. The thumbnail images are tagged to indicate a presentation time stamp (PTS) or similar identification of the source video frame that was used to create the thumbnail image. The tagged thumbnails are provided to the media player, which renders the images to indicate different portions of the video stream as the viewer scans or performs other functions. When the viewer selects to skip to a different part of the video stream, the PTS or similar identifier associated with the presented thumbnail image is sent to the placeshifting encoder to identify the appropriate starting point to resume live encoding.

Seek with thumbnail generation and display during placeshifting session

Various arrangements for generating thumbnail images for video content as the video content is being received are presented. A television receiver may first receive video content. A thumbnail generation process may be woken from a sleep state based on a predefined time period elapsing. The received video content may be monitored for a next-received I-frame. A thumbnail image may be created from the I-frame and may be mapped to a timestamp. The thumbnail generation process may then be caused to enter the sleep state for the predefined time period.

An intelligent battery charging system for improving battery safety, battery longevity, and battery charging efficiency. The intelligent battery charging system includes a memory that is arranged to store an intelligent battery controller system. The intelligent battery controller system is executable by a processor and is in communication with a device state sensor, a battery temperature sensor, one or more current sensors, and a battery charge level sensor. The intelligent battery controller system is configured to monitor, via the battery temperature sensor, a temperature of the battery for a mobile device and apply one or more of a plurality of remedial actions to lower the temperature of the battery when a battery temperature above a certain threshold is measured.

Intelligent battery charging system and method

Embodiments are directed towards presenting a current-playing-position marker on a progress bar along with real time content. An initial timeline value of the content may be determined, along with an initial presentation timestamp value for the first frame of the content. For each next frame of the content, a next timeline value may be determined based on a difference between a next presentation timestamp value for a corresponding next frame and the initial presentation timestamp value, and mapping of the next presentation timestamp value for the corresponding next frame and the next timeline value in the index file. The content and a progress bar may be displayed to the user on a remote device based on the index file. A position of the current-playing-position marker on the progress bar for each frame of the content may be determined based on the next timeline value for each corresponding frame.

Real-time positioning of current-playing-position marker on progress bar and index file generation for real-time content

A content receiver and a method for controlling the same are provided. The content receiver, for example, may include, but is not limited to, a communication system configured to receive video content comprising a plurality of video frames from a content source, a processor configured to insert artifacts into one or more video frames when the video frame is subject to data loss, and a video analyzer configured to determine a quality of the video content by quantifying an effect of the inserted artifacts into the one or more video frames, and trigger at least one content receiver response when the quality of the video content is less than a predetermined threshold.

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Bengaluru, India

Varunkumar B Tripathi