Abstract: A method and apparatus for providing an opportunistic crowd based service platform is disclosed. A mobile sensor device is identified based on a current location and/or other qualities, such as intrinsic properties, previous sensor data, or demographic data of an associated user of the mobile sensor device. Data is collected from the mobile sensor device. The data collected from the mobile sensor device is aggregated with data collected from other sensor devices, and content generated based on the aggregated data is delivered to a user device.

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.

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.

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: A method and apparatus for providing an opportunistic crowd based service platform is disclosed. A mobile sensor device is identified based on a current location and/or other qualities, such as intrinsic properties, previous sensor data, or demographic data of an associated user of the mobile sensor device. Data is collected from the mobile sensor device. The data collected from the mobile sensor device is aggregated with data collected from other sensor devices, and content generated based on the aggregated data is delivered to a user device.

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.

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: Disclosed herein are systems, methods, and computer readable-media for adaptive media playback based on destination. The method for adaptive media playback comprises determining one or more destinations, collecting media content that is relevant to or describes the one or more destinations, assembling the media content into a program, and outputting the program. In various embodiments, media content may be advertising, consumer-generated, based on real-time events, based on a schedule, or assembled to fit within an estimated available time. Media content may be assembled using an adaptation engine that selects a plurality of media segments that fit in the estimated available time, orders the plurality of media segments, alters at least one of the plurality of media segments to fit the estimated available time, if necessary, and creates a playlist of selected media content containing the plurality of media segments.

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.

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 media playback based on destination. The method for adaptive media playback comprises determining one or more destinations, collecting media content that is relevant to or describes the one or more destinations, assembling the media content into a program, and outputting the program. In various embodiments, media content may be advertising, consumer-generated, based on real-time events, based on a schedule, or assembled to fit within an estimated available time. Media content may be assembled using an adaptation engine that selects a plurality of media segments that fit in the estimated available time, orders the plurality of media segments, alters at least one of the plurality of media segments to fit the estimated available time, if necessary, and creates a playlist of selected media content containing the plurality of media segments.

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: 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.

Abstract: Disclosed herein are systems, methods, and computer-readable media for transmedia video bookmarks, the method comprising receiving a first place marker and a second place marker for a segment of video media, extracting metadata from the video media between the first and second place markers, normalizing the extracted metadata, storing the normalized metadata, first place marker, and second place marker as a video bookmark, and retrieving the media represented by the video bookmark upon request from a user. Systems can aggregate video bookmarks from multiple sources and refine the first place marker and second place marker based on the aggregated video bookmarks. Metadata can be extracted by analyzing text or audio annotations. Metadata can be normalized by generating a video thumbnail representing the video media between the first place marker and the second place marker. Multiple video bookmarks may be searchable by metadata or by the video thumbnail visually.

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: A content summary is generated by determining a relevance of each of a plurality of scenes, removing at least one of the plurality of scenes based on the determined relevance, and creating a scene summary based on the plurality of scenes. The scene summary is output to a graphical user interface, which may be a three-dimensional interface. The plurality of scenes is automatically detected in a source video and a scene summary is created with user input to modify the scene summary. A synthetic frame representation is formed by determining a sentiment of at least one frame object in a plurality of frame objects and creating a synthetic representation of the at least one frame object based at least in part on the determined sentiment. The relevance of the frame object may be determined and the synthetic representation is then created based on the determined relevance and the determined sentiment.

Abstract: An interactive conference is supplemented based on terminology content. Terminology content from a plurality of devices connected to the interactive conference is monitored. A set of words from the terminology content is selected. Supplemental media content at an external source is identified based on the selected set of words, and selectively made available to a device connected to the interactive conference.

Abstract: A content summary is generated by determining a relevance of each of a plurality of scenes, removing at least one of the plurality of scenes based on the determined relevance, and creating a scene summary based on the plurality of scenes. The scene summary is output to a graphical user interface, which may be a three-dimensional interface. The plurality of scenes is automatically detected in a source video and a scene summary is created with user input to modify the scene summary. A synthetic frame representation is formed by determining a sentiment of at least one frame object in a plurality of frame objects and creating a synthetic representation of the at least one frame object based at least in part on the determined sentiment. The relevance of the frame object may be determined and the synthetic representation is then created based on the determined relevance and the determined sentiment.

Abstract: Disclosed herein are systems, methods, and computer-readable media for transmedia video bookmarks, the method comprising receiving a first place marker and a second place marker for a segment of video media, extracting metadata from the video media between the first and second place markers, normalizing the extracted metadata, storing the normalized metadata, first place marker, and second place marker as a video bookmark, and retrieving the media represented by the video bookmark upon request from a user. Systems can aggregate video bookmarks from multiple sources and refine the first place marker and second place marker based on the aggregated video bookmarks. Metadata can be extracted by analyzing text or audio annotations. Metadata can be normalized by generating a video thumbnail representing the video media between the first place marker and the second place marker. Multiple video bookmarks may be searchable by metadata or by the video thumbnail visually.