Systems and methods are described herein for recommending content restrictions to a user based on chatter in a social network of the user. The system analyzes chatter in the social network to identify a correlation between what is posted by users and the content that the users are posting about. The system stores a mapping between chatter and expected attributes of the content referenced by the chatter. The system will determine whether to block the content when an expected attribute is associated with a content restriction.

Systems and methods are described for a media guidance application (e.g., implemented on a user device) that aggregates related media content, associated with media content selected by a user, by comparing keywords.

Systems and methods are described for a media guidance application (e.g., implemented on a user device) that aggregates related media content, associated with media content selected by a user, by comparing keywords.

An image output apparatus comprising an output control unit configured to output region annotation information including region information indicating a region included in an image and annotation information indicating information on the region, the region annotation information being superimposed on the image, wherein when a plurality of pieces of the region annotation information are superimposed on the image, the output control unit superimposes first region annotation information associated with a first region with a first depth closer to the front than second region annotation information associated with a second region with a second depth that has larger depth than the first depth.

This disclosure relates to digital video analysis. In one aspect, a method includes providing a user interface that enables a user of the computing system to select one or more seed video groups and one or more keywords, wherein each seed video group comprises one or more videos. The user interface is updated to provide candidate video groups selected based on the one or more seed video groups and the one or more keywords and, for each candidate video group, a first user interface control that enables the user to refine the set of candidate video groups to include video groups classified as being similar to the candidate video group. Data indicating user interaction with a given first user interface control for a first candidate video group is received. The user interface is updated to provide an updated set of candidate video groups.

The present disclosure relates to the technical field of big data analysis, and discloses a method for video recommendation. The method includes: determining a first reference video according to a watching history of a user; determining a collection of recommended videos according to the first reference video; selecting a second reference video from the collection of recommended videos, where videos not selected in the collection of recommended videos are used as candidate videos; and determining recommended videos according to the similarity between the candidate videos and the second reference video. According to the method, a collection of recommended videos is determined according to a watching history of a user, reference videos are selected from the collection of recommended videos, and then recommended videos are determined according to the reference videos, so that the recommended videos are more customized and targeting, matching user requirements and enabling a better user experience.

Methods, apparatus and systems related to packaging a multimedia content for distribution are described. In one example aspect, a method includes receiving media files comprising video or audio data captured at a production stage and determining a hierarchical structure of the multimedia content based on production stage information of the multimedia content. The hierarchical structure indicates that the multimedia content comprises multiple scenes, each of which comprises multiple shots produced with corresponding devices and cast. The method also includes identifying characteristics associated with the individual scenes based on the production stage information, generating multiple copies of the multimedia content at different compression levels, and dividing each of the multiple copies of the multimedia content into segments based on the hierarchical structure. The compression levels and a length of a segment are adaptively adjusted based on the characteristics associated with the individual scenes.

Methods, apparatus and systems related to packaging a multimedia content for distribution are described. In one example aspect, a method includes receiving media files comprising video or audio data captured at a production stage and determining a hierarchical structure of the multimedia content based on production stage information of the multimedia content. The hierarchical structure indicates that the multimedia content comprises multiple scenes, each of which comprises multiple shots produced with corresponding devices and cast. The method also includes identifying characteristics associated with the individual scenes based on the production stage information, generating multiple copies of the multimedia content at different compression levels, and dividing each of the multiple copies of the multimedia content into segments based on the hierarchical structure. The compression levels and a length of a segment are adaptively adjusted based on the characteristics associated with the individual scenes.

Technologies for cloud-based media search and editing include a video editor configured to build a media query and associate the media query with a dynamic content slot of a media program. When generating video output based on the media program, the video editor transmits the media query to a cloud analytics server and receives 5 search results identifying one or more media clips produced by a number of mobile computing devices. The video editor may display a list of clips for selection by the user or may automatically include one of the clips in the output. The cloud analytics server transmits an acceptance policy defining criteria for acceptable media, based on the media query, to the mobile computing devices. The mobile computing devices configure 10 capture settings according to the acceptance policy and may display a user interface to assist the user in capturing acceptable media. Other embodiments are described and claimed.

Technologies for cloud-based media search and editing include a video editor configured to build a media query and associate the media query with a dynamic content slot of a media program. When generating video output based on the media program, the video editor transmits the media query to a cloud analytics server and receives 5 search results identifying one or more media clips produced by a number of mobile computing devices. The video editor may display a list of clips for selection by the user or may automatically include one of the clips in the output. The cloud analytics server transmits an acceptance policy defining criteria for acceptable media, based on the media query, to the mobile computing devices. The mobile computing devices configure 10 capture settings according to the acceptance policy and may display a user interface to assist the user in capturing acceptable media. Other embodiments are described and claimed.