Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving encrypted hypertext transport protocol (HTTPS) traffic including media content; separating the HTTPS traffic into audio segments and video segments; calculating a size for each audio segment in the HTTPS traffic; maintaining a sliding window of a plurality of sizes of consecutive audio segments to form a fingerprint; and identifying the media content by matching the fingerprint with a reference in a catalog. Other embodiments are disclosed.

The present disclosure relates to a media distribution device, a media distribution method, and a program enabling to generate a guide voice more appropriately. A media distribution device includes a guide voice generation unit that generates a guide voice describing a rendered image viewed from a viewpoint in a virtual space by using a scene description as information describing a scene in the virtual space and a user viewpoint information indicating a position and a direction of the viewpoint of a user; and an audio encoding unit that mixes the guide voice with original audio, and encodes the guide voice. The present technology can be applied to, for example, a media distribution system that distributes 6DoF media.

Systems and methods in accordance with various embodiments of the present disclosure provide improved techniques to process and manage media content and associated intellectual property rights associated with the media content. Intellectual property rights associated with media content can include copyright, trademarks, licenses to composition, synchronization, performance, recordings, etc. In particular, various embodiments provide media licensing management and monetization based on media licensing using a centralized registry of media content and associated asset rights.

Systems and methods in accordance with various embodiments of the present disclosure provide improved techniques to process and manage media content and associated intellectual property rights associated with the media content. Intellectual property rights associated with media content can include copyright, trademarks, licenses to composition, synchronization, performance, recordings, etc. In particular, various embodiments provide media licensing management and monetization based on media licensing using a centralized registry of media content and associated asset rights.

Various embodiments also include a computer-implemented method comprising determining a communications mode for a plurality of consoles operating within a vehicle, based on the determined communications mode, initiating an in-vehicle communication between a set of consoles included in the plurality of consoles, where the set of consoles includes at least a first console and a second console, in response to the in-vehicle communication, causing each of the set of consoles to attenuate volumes of a set of content items playing on each of the set of consoles, and receiving a speech signal generated by a first user of the set of consoles, and causing the set of consoles to reproduce the speech signal.

Methods and apparatus are described for making broadcast content available as an on-demand asset soon after all of the video fragments of the broadcast content have been made available. As the video fragments of the broadcast content are made available, they are requested and archived. When all of the fragments for the duration of the broadcast content are available (e.g., a live event ends), a VOD-style manifest is generated and the archived fragments are made available for downloading or streaming using the VOD-style manifest.

Mechanisms for removing objectionable and/or inappropriate content from media content items are provided. In some embodiments, the method comprises: receiving a first media content item and a dictionary, wherein the first media content item includes an audio component and a video component; identifying a plurality of scenes and a plurality of scene breaks associated with the first media content item; transcribing the audio component of the first media content item to produce transcribed audio; comparing the transcribed audio to entries in the dictionary and storing matches between the transcribed audio and the entries; and generating a second media content item by removing at least a portion of at least one of the audio component and the video component based on the matches.

A method for providing captured video to a subsequent user device, via a desired video host, including at least some of allowing a user to designate, via a mobile device, at least one desired video host; allowing the subsequent user, via the subsequent user device, to be associated with the at least one desired video host; allowing the user to capture video, via the mobile device, and upload or stream the captured video to the desired video host device(s), wherein the captured video includes at least one categorization for the captured video, as designated by the user prior to capturing the video; and allowing the subsequent user to access, via the subsequent user device, the captured video, via the video host device associated with the at least one desired video host, wherein the captured video is accessed, based on the at least one categorization for the captured video.

User interface techniques provide user vocalists with mechanisms for solo audiovisual capture and for seeding subsequent performances by other users (e.g., joiners). Audiovisual capture may be against a full-length work or seed spanning much or all of a pre-existing audio (or audiovisual) work and in some cases may mix, to seed further contributions of one or more joiners, a user's captured media content for at least some portions of the audio (or audiovisual) work. A short seed or short segment may span less than all (and in some cases, much less than all) of the audio (or audiovisual) work. For example, a verse, chorus, refrain, hook or other limited “chunk” of an audio (or audiovisual) work may constitute a short seed or short segment. Computational techniques are described that allow a system to automatically identify suitable short seeds or short segments. After audiovisual capture against the short seed or short segment, a resulting, solo or group, full-length or short-form performance may be posted, livestreamed, or otherwise disseminated in a social network.

A content segmentation system includes a computing platform having processing hardware and a system memory storing a software code and a trained machine learning model. The processing hardware is configured to execute the software code to receive content, the content including multiple sections each having multiple content blocks in sequence, to select one of the sections for segmentation, and to identify, for each of the content blocks of the selected section, at least one respective representative unit of content. The software code is further executed to generate, using the at least one respective representative unit of content, a respective embedding vector for each of the content blocks of the selected section to provide a multiple embedding vectors, and to predict, using the trained machine learning model and the embedding vectors, subsections of the selected section, at least some of the subsections including more than one of the content blocks.