A streaming system includes a streaming server and a client device. The streaming server is configured to train an interactive frame prediction model based on streaming data, a user input and metadata associated with the user input, encode the streaming data by selectively using a predicted frame generated based on the trained interactive frame prediction model and transmit the trained interactive frame prediction model and the encoded streaming data. The client device is configured to receive the trained interactive frame prediction model and the encoded streaming data, and decode the encoded streaming data based on the trained interactive frame prediction model to provide recovered streaming data to a user.

The disclosure is for a video caption generation apparatus and method thereof to generate a natural language sentence explaining a video used as input. The disclosure is configured by including an embedding unit to perform a video embedding and a category information embedding, a stack embedding encoder block unit to select a feature by utilizing the embedded video vector and category vector, a video-category attention unit to receive a result of the stack embedding encoder, to generate a similarity matrix and a feature matrix for a video and category information, and to provide a final encoding result, and a decoder module to generate a sentence by utilizing the final encoding result.

Methods and apparatus to facilitate matching of names for same media content are disclosed. Example methods include analyzing first data associated with first media content and, when a program name/identifier and/or episode name/identifier is not identified in the first data, supplementing the data with second data to form third data and processing the third data with respect to fourth data associated with second media content and calculating a composite match score including a program match score and an episode match score based on processing the third data with respect to the fourth data. When the first media content is determined to match the second media content based on the processing of the third data with respect to the fourth data and a comparison of the composite match score to a threshold is satisfied, a normalized media name is generated for the first media content and the second media content.

Systems and methods are disclosed herein for detecting a first reaction by a user when consuming a media asset at a first time, where a first magnitude of the first reaction exceeds a first threshold. The systems and methods may determine whether a second reaction by the user occurred when the user consumed the media asset at a second time that is prior to the first time, where a second magnitude of the second reaction exceeds a second threshold, and may recommend the second media asset to the user.

A system for a video sharing service for inmates in correctional facilities is disclosed. The system includes an inmate device of an inmate, a database storing inmate profiles, and a video sharing server configured to receive a registration request from the inmate device for registration of an inmate for the video sharing service, the registration request including user credentials of the inmate, retrieve an inmate profile of the inmate from the database, authenticate the inmate based on the user credentials and the inmate profile, create an account for the inmate for the video sharing service in response to authentication of the inmate, receive an upload request to upload a video from the inmate device, analyze the video for restricted content, and assign a rating to the video based on the analysis.

One or more highlights of a video stream may be identified. The highlights may be segments of a video stream, such as a broadcast of a sporting event, that are of particular interest to one or more users. According to one method, at least a portion of the video stream may be stored. The portion of the video stream may be compared with templates of a template database to identify the one or more highlights. Each highlight may be a subset of the video stream that is deemed likely to match the one or more templates. The highlights, an identifier that identifies each of the highlights within the video stream, and/or metadata pertaining particularly to the one or more highlights may be stored to facilitate playback of the highlights for the users.

A system and method for training and executing an adaptive bitrate (ABR) controller can include clustering content into content clusters based on content metadata, clustering network scenarios based on network information, normalizing input measurements, training the ABR controller for each content within at least one of a given content cluster and a given network scenario cluster by determining network information and network metadata, associated with the respective content, determining a content bitrate, determining a reward associated with the content bitrate, and training the ABR controller based on the reward.

A system and method for automated generation of control signals for sexual stimulation devices from usage history and other data. The system and method involve analyzing historical usage and other data for a user for a device or devices, processing the data through machine learning algorithms, and generating new or recombined patterns of stimulation based on the outputs from the machine learning algorithms. The resulting automated control signals represent partially or fully customized stimulation for a given user which evolve over time as the user continues to use the device or devices.

The present disclosure in some embodiments provides a system for and a method of providing a live video in real-time by transmitting the live video and patches which are a fraction of a frame of the live video by allocating and using bandwidth for transmitting the live video and bandwidth for transmitting the patches, respectively, and by subjecting, based on the patches, a deep neural network-based super-resolution model to online learning and thereby super-resolution processing the live video into a super-resolution live video.

A digital content recording network controller device determines a first content of a set of content to be more likely to be requested by a user of a content access device than a second content of the set of content based on monitored behavior of the user. The device stores the first content in a first storage device of a tiered group of storage devices and stores the second content in a second storage device of the tiered group of storage devices wherein the content access device is located closer to the first storage device than the second storage device. This balances storage load with accessibility, resulting in a faster responding system that does not require as much storage.