Abstract: 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.

Abstract: A distributed computing system for artificial intelligence in relating a second multimedia program content with a first multimedia program content based on a key reference. A user terminal is set up locally in a user’s environment to monitor a first multimedia program content consumed by the user. The user’s reaction to a portion of the first multimedia program content is detected by the user terminal. The relevant portion of the first multimedia program content is identified and parsed to obtain a reference portion. The reference portion is related to a second multimedia portion using database mapping and machine learning.

Abstract: 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.

Abstract: Embodiments are related to processing of one or more input audio feeds for generation of a target audio stream that includes at least one object of interest to a listener. In some embodiments, the target audio stream may exclusively or primarily include the sound of the object of interest to the listener, without including other persons. This allows a listener to focus on an object of his or her interest and not necessarily have to listen to the performances of other objects in the input audio feed. Some embodiments contemplate multiple audio feeds and/or with multiple objects of interest.

Abstract: 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.

Abstract: Systems, methods, and devices are disclosed enabling smart search functionalities utilizing key scene changes appearing in video content. In various embodiments, the method includes the step or process of, while engaged in playback of the video content, receiving a user command at a playback device to shift a current playback position of the video content to a default search playback position (PPDS). In response to receipt of the user command, the playback device searches a time window encompassing the default search playback position (PPDS) for a key scene change in the video content. If locating a key scene change within the time window, the playback device shifts playback of the video content to a playback position corresponding to the key scene change (PPST). Otherwise, the playback device shifts playback of the video content to the default search playback position (PPDS).

Abstract: 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.

Abstract: 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.

Abstract: Embodiments are related to processing of one or more input audio feeds for generation of a target audio stream that includes at least one object of interest to a listener. In some embodiments, the target audio stream may exclusively or primarily include the sound of the object of interest to the listener, without including other persons. This allows a listener to focus on an object of his or her interest and not necessarily have to listen to the performances of other objects in the input audio feed. Some embodiments contemplate multiple audio feeds and/or with multiple objects of interest.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Various techniques are described herein for supporting voice command control of electronic programming guides (EPGs) and other media content selection systems. The voice input hardware and software components of a remote control device, television receiver, smartphone, virtual assistant, and/or other media device may receive voice commands from a user corresponding to a selection of a media content. In response to the received voice input, the media device may perform a speech-to-text conversion of the voice input, and then perform an analysis of the command text to determine one or more content selections of the user. The analysis may include identifying within the command text one or more television channel names, program names, or other media content names, as well as identifying other instructions, preferences, or other meaningful insights from the command text.