Abstract: A media processing engine selectively transcodes only a portion of the media clips to be included in a personalized media program and generates playback data that allows seamless playback of the personalized media program. The media processing engine analyzes initial playback data associated with the media program that indicates the media clips needed to generate the personalized media program. The media processing engine identifies one or more transitions between media clips in the personalized media program and determines specific segments of those media clips that are associated with the identified transition(s). The media processing engine performs transcoding operations with the determined segments of the media clips to generate one or more transition clips. The media processing engine then updates the initial playback data to indicate that the transition clip(s) should be played during the corresponding transition(s) between the associated media clips.

Abstract: A generative media pipeline automatically creates a personalized media program that is customized to reflect the specific viewing preferences of at least one individual user. The generative media pipeline obtains user data indicating the viewing preferences associated with the user and optionally the viewing context of the user. A recommendation service within the generative media pipeline provides a set of content options that includes various types of media content corresponding to the viewing preferences. A recipe service within the generative media pipeline obtains a recipe that defines the logical structure of the personalized media program. The recipe service populates the recipe by executing one or more video processing functions with some or all media content included in the content options. The recipe service thereby generates a logically structured and polished personalized media program that is individually tailored to reflect the specific preferences of the user.

Abstract: A generative media pipeline automatically creates a personalized media program that is customized to reflect the specific viewing preferences of at least one individual user. The generative media pipeline obtains user data indicating the viewing preferences associated with the user and optionally the viewing context of the user. A recommendation service within the generative media pipeline provides a set of content options that includes various types of media content corresponding to the viewing preferences. A recipe service within the generative media pipeline obtains a recipe that defines the logical structure of the personalized media program. The recipe service populates the recipe by executing one or more video processing functions with some or all media content included in the content options. The recipe service thereby generates a logically structured and polished personalized media program that is individually tailored to reflect the specific preferences of the user.

Abstract: A media processing engine selectively transcodes only a portion of the media clips to be included in a personalized media program and generates playback data that allows seamless playback of the personalized media program. The media processing engine analyzes initial playback data associated with the media program that indicates the media clips needed to generate the personalized media program. The media processing engine identifies one or more transitions between media clips in the personalized media program and determines specific segments of those media clips that are associated with the identified transition(s). The media processing engine performs transcoding operations with the determined segments of the media clips to generate one or more transition clips. The media processing engine then updates the initial playback data to indicate that the transition clip(s) should be played during the corresponding transition(s) between the associated media clips.

Abstract: The invention allows a user to connect to a remote location, such as a website, upload a sound file from their computer to the website, edit the sound file to the user's taste, and download the new sound file onto their mobile device. The user would typically use this music file as a ringtone. Alternatively, the user could connect to the remote location, identify a pre-loaded sound file at the remote location, edit the sound file to the user's taste, and download the new sound file onto their mobile device. In another alternative, the user could identify the new sound file as a ringback tone, perhaps resident at a service provider location.