Intel Corporation

Kevin Jacobs

Charles Baron

Robert L Vaughn

Sherry Chang

Jeffrey Caroli

David Schaefer

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 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 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.

Elastic cloud video editing and multimedia search

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.

Systems and methods may detect a proximity of one or more client devices to a venue that provides ambient music and generate an anonymous playlist based on preference data associated with the one or more client devices. Additionally, the anonymous playlist may be sent to the venue. In one example, one or more additional venue suggestions are sent to at least one of the one or more client devices based on the preference data and one or more playlists associated with the one or more additional venues.

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Hillsboro, OR, United States of America

Kevin Jacobs