Abstract:
Disclosed herein are systems, methods, and computer readable-media for temporally adaptive media playback. The method for adaptive media playback includes estimating or determining an amount of time between a first event and a second event, selecting media content to fill the estimated amount of time between the first event and the second event, and playing the selected media content possibly at a reasonably different speed to fit the time interval. One embodiment includes events that are destination-based or temporal-based. Another embodiment includes adding, removing, speeding up, or slowing down selected media content in order to fit the estimated amount of time between the first event and the second event or to modify the selected media content to adjust to an updated estimated amount of time. Another embodiment bases selected media content on a user or group profile.
Abstract:
Disclosed herein are systems, methods, and computer readable-media for adaptive content rendition, the method comprising receiving media content for playback to a user, adapting the media content for playback on a first device in the user's first location, receiving a notification when the user changes to a second location, adapting the media content for playback on a second device in the second location, and transitioning media content playback from the first device to second device. One aspect conserves energy by optionally turning off the first device after transitioning to the second device. Another aspect includes playback devices that are “dumb devices” which receive media content already prepared for playback, “smart devices” which receive media content in a less than ready form and prepare the media content for playback, or hybrid smart and dumb devices. A single device may be substituted by a plurality of devices. Adapting the media content for playback is based on a user profile storing user preferences and/or usage history in one aspect.
Abstract:
Speaker content generated in an audio conference is selectively and visually represented. A profile for each audience member who participates in the audio conference is obtained. Speaker content spoken during the audio conference is monitored. Different weights are applied to words included in the speaker content according to a parameter of the profile for each of the audience members. A relation between the speaker content to the profile for each of the audience members is determined. Visual representations of the speaker content are presented to selective members among the audience members based on the determined relation.
Abstract:
Speaker content generated in an audio conference is selectively visually represented. A profile for each audience member who participates in the audio conference is obtained. Speaker content spoken during the audio conference is monitored. Words of the speaker content are classified to have different weights according to a parameter of the profile for each of the audience members. A relation between the speaker content to the profile for each of the audience members is determined. Different visual representations of the speaker content are presented to different ones of the audience members based on the determined relation.
Abstract:
Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for representing media assets. The method includes receiving an original media asset and derivative versions of the original media asset and associated descriptors, determining a lineage to each derivative version that traces to the original media asset, generating a version history tree of the original media asset representing the lineage to each derivative version and associated descriptors from the original media asset, and presenting at least part of the version history tree to a user. In one aspect, the method further includes receiving a modification to one associated descriptor and updating associated descriptors for related derivative versions with the received modification. The original media asset and the derivative versions of the original media asset can share a common identifying mark. Descriptors can include legal documentation, licensing information, creation time, creation date, actors' names, director, producer, lens aperture, and position data.
Abstract:
Disclosed herein are systems, computer-implemented methods, and tangible computer-readable storage media for captioning a media presentation. The method includes receiving automatic speech recognition (ASR) output from a media presentation and a transcription of the media presentation. The method includes selecting via a processor a pair of anchor words in the media presentation based on the ASR output and transcription and generating captions by aligning the transcription with the ASR output between the selected pair of anchor words. The transcription can be human-generated. Selecting pairs of anchor words can be based on a similarity threshold between the ASR output and the transcription. In one variation, commonly used words on a stop list are ineligible as anchor words. The method includes outputting the media presentation with the generated captions. The presentation can be a recording of a live event.
Abstract:
Speaker content generated in an audio conference is selectively visually represented. A profile for each audience member who listen to an audio conference is obtained. Speaker content from audio conference participants who speak in the audio conference is monitored. The speaker content from each of the audio conference participants is analyzed. Based on the analyzing and on the profiles for each of the plurality of audience members, visual representations of the speaker content to present to the audience members are identified. Visual representations of the speaker content are generated based on the analyzing. Different visual representations of the speaker content are presented to different audience members based on the analyzing and identifying.