Methods for identifying audio or video content

• US 9,292,513 B2
• Filed: 10/21/2014
• Issued: 03/22/2016
• Est. Priority Date: 12/23/2005
• Status: Active Grant

• Current Assignee: Digimarc Corporation
• Original Assignee: Digimarc Corporation
• Inventors: Conwell, William Y.
• Primary Examiner(s): McNally, Michael S
• Application Number:
  US14/519,973
• Publication Number:
  US 20150106389A1
• Time in Patent Office: 518 Days
• Field of Search: 707/748
• US Class Current: 1/1
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 16/43 Querying
• CPC Class Codes: G06F 16/489 using time information
• CPC Class Codes: G06F 16/58 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: G06F 16/783 using metadata automatically derived from the content
• CPC Class Codes: G06F 18/00 Pattern recognition
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 50/18 Legal services
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 9/3247 involving digital signatures

Abstract

The disclosed technology generally relates to methods for identifying audio and video entertainment content. One claim recites a method comprising: receiving data representing audio uploaded to a network server, the audio having been transformed prior to receipt; analyzing the data representing audio with a fingerprint generator to yield fingerprint data; determining whether the fingerprint data incurs a potential match in a fingerprint data repository, the potential match indicating an unreliability in the match below a predetermined threshold; upon a condition of unreliability in the match, and via an application program interface, issuing a call requesting at least a first reviewer and a second reviewer to review the data representing audio; receiving results from the first reviewer and results from the second reviewer through the application program interface; weighting results from the first reviewer differently than results from the second reviewer in determining whether to allow public access to the data representing audio. Of course other combinations and claims are provided.

Claims

1. A method comprising:

receiving data representing audio uploaded to a network server, the audio having been transformed prior to receipt;

analyzing the data representing audio with a fingerprint generator to yield fingerprint data;

determining whether the fingerprint data incurs a potential match in a fingerprint data repository, the potential match indicating an unreliability in the match below a predetermined threshold;

upon a condition of unreliability in the match, and via an application program interface, issuing a call requesting at least a first reviewer and a second reviewer to review the data representing audio;

receiving results from the first reviewer and results from the second reviewer through the application program interface;

weighting results from the first reviewer differently than results from the second reviewer in determining whether to allow public access to the data representing audio.

2. The method of claim 1 in which the audio has been transformed with one or more loudness profiles in an attempt to avoid fingerprint detection.

3. The method of claim 2 in which at least one loudness profile increases and decreases loudness of the audio at different frequency bands.

4. The method of claim 1 in which the first reviewer and the second reviewer are pre-qualified in different areas of expertise.

5. The method of claim 1 in which the condition of unreliability in the match occurs when a match score is below a predetermined score.

6. An apparatus comprising:

an input for receiving data representing audio uploaded to a network server, the audio having been transformed prior to receipt;

memory for storing the data representing audio;

memory for storing calculated fingerprints;

memory for storing executable instructions; and

one or more processors configured for;

analyzing the data representing audio to yield fingerprint data;

determining whether the fingerprint data incurs a potential match with the stored calculated fingerprints, the potential match indicating an unreliability in the match below a predetermined threshold;

issuing a call, upon a condition of unreliability in the match, requesting at least a first reviewer and a second reviewer to review the data representing audio;

an interface for receiving results from the first reviewer and results from the second reviewer through the application program interface;

in which said one or more processors are configured for;

weighting results from the first reviewer differently than results from the second reviewer, and determining whether to allow public access to the data representing audio based at least in part on weighted results.

7. The apparatus of claim 6 in which the audio has been transformed with one or more loudness profiles in an attempt to avoid fingerprint detection.

8. The apparatus of claim 7 in which at least one loudness profile increases and decreases loudness of the audio at different frequency bands.

9. The apparatus of claim 6 in which the first reviewer and the second reviewer are pre-qualified in different areas of expertise.

10. The apparatus of claim 6 in which the condition of unreliability in the match occurs when a match score is below a predetermined score.