Systems and methods of selectively preventing content slots from displaying content items on an information resource are described. Processors receive a request to provide, to a computing device, an electronic document corresponding to an information resource having content slots in which content items are displayed. The processors determine, in response to the request, to provide a modified version of the electronic document including actionable language that prevents at least one of the content slots from displaying content items. The processors identify in the electronic document, the at least one content slot to prevent from displaying content items. The processors modify the electronic document to include a snippet of actionable language in a portion of the electronic document that is executed by the computing device prior to executing actionable language corresponding to the identified at least one content slot. The processors transmit the modified electronic document to the computing device.

In certain embodiments, training of a neural network or other prediction model may be facilitated via live stream concept association. In some embodiments, a live video stream may be loaded on a user interface for presentation to a user. A user selection related to a frame of the live video stream may be received via the user interface during the presentation of the live video stream on the user interface, where the user selection indicates a presence of a concept in the frame of the live video stream. In response to the user selection related to the frame, an association of at least a portion of the frame of the live video stream and the concept may be generated, and the neural network or other prediction model may be trained based on the association of at least the portion of the frame with the concept.

In certain embodiments, training of a neural network or other prediction model may be facilitated via live stream concept association. In some embodiments, a live video stream may be loaded on a user interface for presentation to a user. A user selection related to a frame of the live video stream may be received via the user interface during the presentation of the live video stream on the user interface, where the user selection indicates a presence of a concept in the frame of the live video stream. In response to the user selection related to the frame, an association of at least a portion of the frame of the live video stream and the concept may be generated, and the neural network or other prediction model may be trained based on the association of at least the portion of the frame with the concept.

Methods, systems, and products index digital scenes in digital media. A uniform resource locator is assigned to each different digital scene within the digital media. The uniform resource locator uniquely identifies a resource from which each different digital scene may be retrieved. Individual scenes may thus be retrieved, thus conserving bandwidth and memory.

A method and device for consuming watermarked media content includes generating a manifest request to access a watermarked media content asset, receiving a custom manifest and a watermarking signature including a unique sequence of segment variants relating to the media content asset, and generating a segment request to an origin server having a plurality of composite segments for the media content asset. The client device receives, from the origin server, a composite segment that includes an authorized watermarked segment variant. Using the unique sequence, the client device extracts the authorized watermarked segment variant and assembles a combination of the main ISOBMFF track and authorized watermarked segment variant to form an output composite segment that is assembled only from the main ISOBMFF track and the extracted particular watermarked segment variant, and decrypts and decodes the output composite segment for rendering by a player application of the client device.

A method and apparatus are disclosed for recording, at a recording device, a media feed relating to a scene; receiving a series of wireless synchronisation messages at the recording device; recording a time stamp value with respect to each of the received messages indicating a time of receipt, and storing the time stamp values and the media feed. A method and apparatus are also disclosed for receiving, from each of a first and second recording device, a media feed recorded by the respective recording device and a series of time stamp values, wherein each time stamp value indicates a time of receipt of one of a series of wireless synchronisation messages at the respective recording device, and aligning the set of time stamp values received from a first recording device with the set of time stamp values received from a second recording device to synchronise the media feed received from the first recording device with the media feed received from the second recording device.

In certain example embodiments, jukebox systems that have associated video servers for displaying video content on one or more displays or groups of displays external to the jukebox and/or directly on the jukebox are provided. Such video servers may effectively off-load at least some of the video processing load from the jukebox device. Accordingly, video content may be provided to complement and/or further enhance the interactive experience that jukeboxes currently provide, while also enabling patrons not directly in front of the jukebox to participate in the interactive process. Content may be distributed to the jukeboxes and/or video servers via a network. In addition to creating a compelling entertainment experience for patrons, it also is possible to create new revenue opportunities for customers. For example, operators and national account customers and advertising partners may provide additional value to venues through the innovative use of managed video content.

A content distribution server that can provide a content editing function for streaming distribution at a low cost without any physical constraints is provided. Streamer videos from a plurality of streamer terminals are received via a network and stored temporarily in a buffer unit. The plurality of streamer videos in the buffer unit are synthesized to generate an edit screen, which is transmitted to the editor terminal connected via the network. An editor performs an edit operation such as switching selection of the streamer videos, an instruction on screen configuration, and caption input on the edit screen, and transmits the edit operation as edit information from the editing terminal to the content distribution server. The content distribution server generates streaming content from the streamer videos in the buffer unit based on the edit information and distributes the streaming content to a viewer terminal.

A content distribution server that can provide a content editing function for streaming distribution at a low cost without any physical constraints is provided. Streamer videos from a plurality of streamer terminals are received via a network and stored temporarily in a buffer unit. The plurality of streamer videos in the buffer unit are synthesized to generate an edit screen, which is transmitted to the editor terminal connected via the network. An editor performs an edit operation such as switching selection of the streamer videos, an instruction on screen configuration, and caption input on the edit screen, and transmits the edit operation as edit information from the editing terminal to the content distribution server. The content distribution server generates streaming content from the streamer videos in the buffer unit based on the edit information and distributes the streaming content to a viewer terminal.

In certain embodiments, training of a neural network or other prediction model may be facilitated via live stream concept association. In some embodiments, a live video stream may be loaded on a user interface for presentation to a user. A user selection related to a frame of the live video stream may be received via the user interface during the presentation of the live video stream on the user interface, where the user selection indicates a presence of a concept in the frame of the live video stream. In response to the user selection related to the frame, an association of at least a portion of the frame of the live video stream and the concept may be generated, and the neural network or other prediction model may be trained based on the association of at least the portion of the frame with the concept.