Described herein is a method and system for automated, context sensitive and non-intrusive insertion of consumer-adaptive content in video. It assesses ‘context’ in the video that a consumer is viewing through multiple modalities and metadata about the video. The method and system described herein analyzes relevance for a consumer based on multiple factors such as the profile information of the end-user, history of the content, social media and consumer interests and professional or educational background, through patterns from multiple sources. The system also implements local-context through search techniques for localizing sufficiently large, homogenous regions in the image that do not obfuscate protagonists or objects in focus but are viable candidate regions for insertion for the intended content. This makes relevant, curated content available to a user in the most effortless manner without hampering the viewing experience of the main video.

Described herein is a method and system for automated, context sensitive and non-intrusive insertion of consumer-adaptive content in video. It assesses ‘context’ in the video that a consumer is viewing through multiple modalities and metadata about the video. The method and system described herein analyzes relevance for a consumer based on multiple factors such as the profile information of the end-user, history of the content, social media and consumer interests and professional or educational background, through patterns from multiple sources. The system also implements local-context through search techniques for localizing sufficiently large, homogenous regions in the image that do not obfuscate protagonists or objects in focus but are viable candidate regions for insertion for the intended content. This makes relevant, curated content available to a user in the most effortless manner without hampering the viewing experience of the main video.

Multiple scheduling producers such as content management systems, advertisement systems, and emergency broadcast systems can independently send scheduling events to scheduling consumers such as streaming servers, guide generators, and playlogs. The scheduling consumers maintain state machines with persistent storage to process scheduling events from scheduling producers and output media channel playlists, channel guides, and/or content. Scheduling producers can contribute independently to define a channel playout while information at scheduling consumers remains synchronized.

Multiple scheduling producers such as content management systems, advertisement systems, and emergency broadcast systems can independently send scheduling events to scheduling consumers such as streaming servers, guide generators, and playlogs. The scheduling consumers maintain state machines with persistent storage to process scheduling events from scheduling producers and output media channel playlists, channel guides, and/or content. Scheduling producers can contribute independently to define a channel playout while information at scheduling consumers remains synchronized.

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.

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.

Aspects of the subject disclosure may include, for example, obtaining one or more signals, the one or more signals being based upon brain activity of a viewer while the viewer is viewing media content; predicting, based upon the one or more signals, a first predicted desired viewport of the viewer; obtaining head movement data associated with the media content; predicting, based upon the head movement data, a second predicted desired viewport of the viewer; comparing the first predicted desired viewport to the second predicted desired viewport, resulting in a comparison; and determining, based upon the comparison, to use the first predicted desired viewport to facilitate obtaining a first subsequent portion of the media content or to use the second predicted desired viewport to facilitate obtaining a second subsequent portion of the media content. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, obtaining one or more signals, the one or more signals being based upon brain activity of a viewer while the viewer is viewing media content; predicting, based upon the one or more signals, a first predicted desired viewport of the viewer; obtaining head movement data associated with the media content; predicting, based upon the head movement data, a second predicted desired viewport of the viewer; comparing the first predicted desired viewport to the second predicted desired viewport, resulting in a comparison; and determining, based upon the comparison, to use the first predicted desired viewport to facilitate obtaining a first subsequent portion of the media content or to use the second predicted desired viewport to facilitate obtaining a second subsequent portion of the media content. Other embodiments are disclosed.

Systems and methods for dynamically and automatically generating digital watermarks are provided. Watermark payloads utilized in generating the digital watermarks are altered based upon changing conditions, such as environmental characteristics associated with playback or distribution of media content. Changing conditions may also encompass a change in the distribution/presentation chain of devices associated with the playback or distribution of the media content.

Systems and methods are provided herein for scheduling a season recording. A series is provided to a user device, the series having a plurality of sequential seasons, and each season having a plurality of episodes. A request for recording the series is received from the user. In response, a last episode of the series watched by the user is identified. A relevant season of the plurality of seasons is then determined, such that the relevant season precedes another season of the plurality of seasons and includes the last episode watched by the user. Then, episodes of the relevant season that follow the last episode watched by the user are scheduled for recording, such that episodes of a season that precedes the relevant season are not scheduled for recording.