Constructing album data using discrete track data from multiple sources

• US 20100153393A1
• Filed: 12/15/2008
• Published: 06/17/2010
• Est. Priority Date: 12/15/2008
• Status: Active Grant

• Current Assignee: Rovi Technologies Corporation (Adeia Inc.)
• Original Assignee: All Media Guide LLC (Adeia Inc.)
• Inventors: Wessling, Jens Nicholas, Kahlbaum, Robert Dennis
• Granted Patent: US 8,751,494 B2
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content
• CPC Class Codes: G11B 27/28 by using information signals recorded by the same method as the main recording G11B27/22 takes precedence
• CPC Class Codes: G11B 27/329 on a disc [VTOC]

Abstract

A method and a system are provided for constructing album data using discrete track data from multiple sources. In one example, the system identifies one or more set of tracks having a similar album title, wherein the one or more set of tracks are obtained from one or more client devices. The system then searches across the one or more set of tracks for tracks having a matching fingerprint and a matching album title. The system groups tracks that match according to an original album title in metadata to obtain grouped tracks. The system mines across the grouped tracks to generate a juxtaposition of track data from the one or more client devices. The system then generates album data for one or more albums based on the juxtaposition of track data.

Claims

1. A method for constructing album data, the-method comprising:

identifying one or more set of tracks having a similar album title, wherein the one or more set of tracks are obtained from one or more client devices;

searching across the one or more set of tracks for tracks having a matching fingerprint and a matching album title;

grouping tracks that match according to an original album title in metadata to obtain grouped tracks;

mining across the grouped tracks to generate a juxtaposition of track data from the one or more client devices; and

generating album data for one or more albums based on the juxtaposition of track data.

2. The method of claim 1, wherein the generating album data comprises constructing one or more table of contents for the one or more albums.

3. The method of claim 1, further comprising at least one of:

determining that particular album data of the one or more albums is not in an albums database; and

adding the particular album data to the albums database.

4. The method of claim 1, wherein identifying the one or more set of tracks is followed by collecting a fingerprint for each track of the one or more set of tracks, wherein the fingerprint provides an independent piece of track identification and is unaffected by metadata.

5. The method of claim 1, wherein the mining across the grouped tracks comprises at least one of:

determining matching fingerprints; and

reading the track data of each track of the matching fingerprints.

6. The method of claim 5, wherein particular matching fingerprints do not have matching album data in metadata associated with the particular matching fingerprints.

7. The method of claim 5, wherein particular matching fingerprints do not have matching song names in metadata associated with the matching fingerprints.

8. The method of claim 1, wherein the mining across all track data comprises at least one of:

reading a number of tracks that each client device had fingerprinted, wherein a client device is a device that provided a set of tracks;

reading a maximum track that each client device had for each album; and

reading track count values from each track to determine how many albums match among client devices.

9. The method of claim 1, wherein the mining across the grouped tracks is performed offline without accessing any of the one or more client devices that provided a set of tracks.

10. The method of claim 1, further comprising sending at least some of the album data to a user computer, wherein the user computer is configured for using the album data to provide reliable album data for a selected track.

11. A system for constructing album data, wherein the system is configured for:

identifying one or more set of tracks having a similar album title, wherein the one or more set of tracks are obtained from one or more client devices;

searching across the one or more set of tracks for tracks having a matching fingerprint and a matching album title;

grouping tracks that match according to an original album title in metadata to obtain grouped tracks;

mining across the grouped tracks to generate a juxtaposition of track data from the one or more client devices; and

generating album data for one or more albums based on the juxtaposition of track data.

12. The system of claim 11, wherein the generating album data comprises constructing one or more table of contents for the one or more albums.

13. The system of claim 11, wherein the system is further configured for at least one of:

determining that particular album data of the one or more albums is not in an albums database; and

adding the particular album data to the albums database.

14. The system of claim 11, wherein the system is configured for following the identifying the one or more set of tracks with collecting a fingerprint for each track of the one or more set of tracks, wherein the fingerprint provides an independent piece of track identification and is unaffected by metadata.

15. The system of claim 11, wherein the mining across the grouped tracks comprises at least one of:

determining matching fingerprints; and

reading the track data of each track of the matching fingerprints.

16. The system of claim 15, wherein particular matching fingerprints do not have matching album data in metadata associated with the particular matching fingerprints.

17. The system of claim 15, wherein particular matching fingerprints do not have matching song names in metadata associated with the matching fingerprints.

18. The system of claim 11, wherein the mining across all track data comprises at least one of:

reading a number of tracks that each client device had fingerprinted, wherein a client device is a device that provided a set of tracks;

reading a maximum track that each client device had for each album; and

reading track count values from each track to determine how many albums match among client devices.

19. The system of claim 11, wherein the system is configured for performing the mining across the grouped tracks offline without accessing any of the one or more client devices that provided a set of tracks.

20. The system of claim 11, wherein the system if further configured for sending at least some of the album data to a user computer, wherein the user computer is configured for using the album data to provide reliable album data for a selected track.

21. A computer readable medium carrying one or more instructions for constructing album data, wherein the one or more instructions, when executed by one or more processors, cause the one or more processors to perform the steps of:

identifying one or more set of tracks having a similar album title, wherein the one or more set of tracks are obtained from one or more client devices;

searching across the one or more set of tracks for tracks having a matching fingerprint and a matching album title;

grouping tracks that match according to an original album title in metadata to obtain grouped tracks;

mining across the grouped tracks to generate a juxtaposition of track data from the one or more client devices; and

generating album data for one or more albums based on the juxtaposition of track data.