Charter Communications Operating, LLC

Yassine Maalej

Sami S Makinen

Justin Hattaway

Stephen Poteat

A method for selecting and inserting contextually relevant advertisements into a video stream, executed by a processing system in a network server computing device, encompasses receiving a primary video stream with potential advertisement insertion points indicated by SCTE35/SCTE104 markers, extracting an audio segment from this stream before an advertisement break, obtaining audio from potential advertisements, transcribing both primary and secondary audio segments into textual data, performing semantic analysis and tokenization on this data, creating vector embeddings, and normalizing these embeddings for a feed-forward neural network. The method further involves determining semantic similarity scores between the primary and secondary content through a transformer-based AI model, generating a similarity matrix from these scores, identifying the most contextually aligned advertisement based on these scores, and inserting this advertisement at an indicated break point in the primary video stream.

Apparatus and methods for a large language model with semantic audio for targeted advertising video stream

Methods and apparatus for predicting communications resources which will be needed at a venue and then controlling the amount of available resources dynamically are described. In various embodiments real time or near real time video of areas of the venue are used to predict the number of people in a portion of a venue and/or the direction of movement. Along with other information such as the type of event and/or event schedule collected information is supplied to a set of trained resource requirement models which are used to predict future resource needs at a venue, e.g., while an event is ongoing. Commands are sent to dynamically vary the amount of communications resources provided to one or more portions of the venue. Resources which can be varied included but are not limited to fixed wired WAN bandwidth, WiFi bandwidth, cellular bandwidth, network based on-demand services, transcoding services, firewall services, etc.

Methods and apparatus for supporting dynamic network scaling based on learned patterns and sensed data

Apparatus and methods for providing an aggregated and interactive content service over a network. In one embodiment, extant high-bandwidth capabilities of a managed network are leveraged for delivering content downstream to network users or subscribers, and standards-compliant ultra-low latency and high data rate services (e.g., 5G NR based) are leveraged for (i) uploading content, and (ii) enabling interaction with the content based on user input. In one embodiment, the exemplary apparatus and methods are implemented to aggregate content from various third-party sources at a managed content delivery network (CDN) and deliver it as a combined or fused single stream (versus multiple distinct content streams), and allow interaction with the aggregated content stream via the low-latency connection to the aggregation processing entity. Additional enhancements enable user participation individually, or with other subscribers, in live or recorded content-based activities (such as via gesture recognition and learned 'skills').

Apparatus and methods for enhanced content control, consumption and delivery in a content distribution network

Various embodiments describe methods, systems, and devices for delivering on-demand video viewing angles of an arena at a venue are disclosed. Exemplary implementations may receive images of an event taking place across a plurality of positions within the arena from a series of cameras surrounding the plurality of positions. Content of interest may be identified within the images for a select user. Also, a score may be determined for each of the images based on the identified content of interest for the select user. A highest-score position may be determined from the plurality of positions based on the determined score and an offer to view images of the highest-score position may be transmitted to a display device of the select viewer for viewing video of the event.

Delivering on-demand video viewing angles of an arena

Various embodiments describe methods, systems, and devices for delivering secondary video content are disclosed. Exemplary implementations may perform, at a processor of a computing device, an active video semantic analysis on a segment of a first video content presented on a viewing device. The active video semantic analysis may identify an active video first visible element visible within the segment. Also, a secondary video content, that is not directly related to the first video content, may be matched based on a prior semantic analysis on the secondary video content that identified a secondary-video first visible element therein that is associated with the active video first visible element from the segment. In addition, the secondary video content may be presented on the viewing device immediately after the segment.

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Aurora, CO, United States of America

Yassine Maalej