Gracenote, Inc.

Cddb Inc.

Sony Corporation

Tunesmap Inc.

Dale T Roberts

Markus Kurt Cremer

Ann E Greenberg

Randall E Cook

Michael Gubman

Bob Coover

Nicola Marcantonio

Peter C DiMaria

Steven D Scherf

Stephen F White

Vadim Brenner

David Hyman

Gilbert Marquard Roswell

Ti Kan

Erik Christopher Loyer

Michael W Mantle

Marc Theeuwes

Stephen Helling White

Methods and apparatus for audio identification during a performance are disclosed herein. An example apparatus includes at least one memory and at least one processor to transform a segment of audio into a log-frequency spectrogram based on a constant Q transform using a logarithmic frequency resolution, transform the log-frequency spectrogram into a binary image, each pixel of the binary image corresponding to a time frame and frequency channel pair, each frequency channel representing a corresponding quarter tone frequency channel in a range from C3-C8, generate a matrix product of the binary image and a plurality of reference fingerprints, normalize the matrix product to form a similarity matrix, select an alignment of a line in the similarity matrix that intersects one or more bins in the similarity matrix with the largest calculated Hamming similarities, and select a reference fingerprint based on the alignment.

Audio identification during performance

In an example implementation, a method is described. The implementation accesses first and second media clips. The implementation also matches a first fingerprint of the first media clip with a second fingerprint of the second media clip and determines an overlap of the first media clip with the second media clip. The implementation also, based on the overlap, merges the first and second media clips into a group of overlapping media clips, transmits, to a client device, data identifying the group of overlapping media clips and specifying a synchronization of the first media clip with the second media clip, and generates for display on a display device of the client computing device, a graphical user interface that identifies the group of overlapping media clips, specifies the synchronization of the first media clip with the second media clip, and allows access to, and manipulation of, the first and second media clips.

Synthesizing a presentation from multiple media clips

In one aspect, an example method includes (i) receiving a first group of video content items; (ii) identifying from among the first group of video content items, a second group of video content items having a threshold extent of similarity with each other; (iii) determining a quality score for each video content item of the second group; (iv) identifying from among the second group of video content items, a third group of video content items each having a quality score that exceeds a quality score threshold; and (v) based on the identifying of the third group, transmitting at least a portion of at least one video content item of the identified third group to a digital video-effect (DVE) system, wherein the system is configured for using the at least the portion of the at least one video content item of the identified third group to generate a video content item.

Computing system with DVE template selection and video content item generation feature

In an example implementation, a method is described. The implementation accesses a plurality of media clips including a first video clip and a second video clip, matches a first fingerprint of the first video clip with a second fingerprint of the second video clip. The implementation also matches a first event subject of the first video clip with a second event subject of the second video clip, and determines an overlap of the first video clip with the second video clip based at least in part on the match of the first fingerprint with the second fingerprint and the match of the first event subject with the second event subject. The implementation also merges the first video clip and the second video clip into a group of overlapping video clips based on the overlap, and synthesizes the group into a video presentation.

Synthesizing a presentation of a multimedia event

The system and method described here relate to the effective organization of a media database. The media database can include music and can bring together time, place, genre, and artist with curator and community commentary and recommendations, cultural events and elements, media content, and a facility for procurement of related materials. The consistent focus of these fundamental elements of music and principles of organization provides a unique user experience that is a key aspect of the current invention. The user can interact with the media database using voice commands.

Analyzing captured sound and seeking a match for temporal and geographic presentation and navigation of linked cultural, artistic, and historic content

In an example implementation, a method is described. The implementation accesses a plurality of media clips including a first video clip and a second video clip, matches a first fingerprint of the first video clip with a second fingerprint of the second video clip. The implementation also matches a first event location of the first video clip with a second event location of the second video clip, determines an overlap of the first video clip with the second video clip based at least in part on the match of the first fingerprint with the second fingerprint and the match of the first event location with the second event location, merges the first and second video clips into a group of overlapping video clips based on the overlap, and generates a presentation that includes the group formed by merging the first and second video clips based on the overlap.

In an example implementation, a method is described. The implementation accesses a plurality of media clips including a first video clip and a second video clip. The implementation also matches a first fingerprint of at least a part of the first video clip with a second fingerprint of at least a part of the second video clip. The implementation also determines a temporal overlap of the first video clip with the second video clip based at least in part on the match. The implementation also, based on the temporal overlap of the first video clip with the second video clip, merges the first video clip and the second video clip into a group of overlapping video clips, and transmits, to a client computing device, data identifying the group of overlapping video clips and specifying a synchronization of the first video clip with the second video clip.

In an example implementation, a method is described. The implementation accesses a plurality of media clips and metadata for the plurality of media clips. The implementation also uses the metadata for the plurality of media clips to select, from the plurality of media clips, a subset of media clips including a first media clip and a second media clip. The implementation also matches a first fingerprint of at least a part of the first media clip with a second fingerprint of at least a part of the second media clip. The implementation also determines a temporal overlap of the first media clip with the second media clip based at least in part on the match. The implementation also, based on the temporal overlap, merges the first media clip and the second media clip into a group of overlapping media clips, and generates a presentation that includes the group.

Methods and apparatus for audio identification during a performance are disclosed herein. An example method includes transforming a segment of audio into a log-frequency spectrogram based on a transform using a logarithmic frequency resolution. The log-frequency spectrogram is transformed into a binary image, each pixel of the binary image corresponding to a time frame and frequency channel pair. A matrix product of the binary image and a plurality of reference fingerprints is computed. Based on a number of frequency ranges represented in the binary image, the matrix product to form a similarity matrix is computed. Selecting an alignment of a line in the similarity matrix that intersects one or more bins in the similarity matrix with the largest calculated Hamming similarities. A reference fingerprint is selected based on the alignment.

Examples described herein may involve synthesizing a presentation of from multiple media clips. An example implementation a plurality of media clips including a first video clip with a first audio waveform and a second video clip with a second audio waveform. The implementation matches a first acoustic fingerprint of at least a part of the first audio waveform with a second acoustic fingerprint of at least a part of the second audio waveform. The implementation determines an overlap of the first video clip with the second video clip based at least in part on the match. The implementation merges the first video clip and the second video clip into a group of overlapping video clips based on the overlap and generates a presentation that includes the group formed by merging the first video clip and the second video clip based on the overlap.

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San Anselmo, CA, United States of America

Dale T Roberts