Methods, apparatus and programs for generating and utilizing content signatures
View Patent ↗The presently claimed invention generally relates to deriving and/or utilizing content signatures (e.g., so-called “fingerprints”). One claim recites a method of generating a fingerprint associated with a content item including: pseudo-randomly selecting a segment of the content item; and utilizing a processor or electronic processing circuitry, fingerprinting the selected segment of content item as at least an identifier of the content item. Of course, other claims and combination are provided as well.
1. A method comprising:
obtaining a content item comprising a plurality of frames or segments;
obtaining a key;
seeding a pseudo-random generator with the key;
selecting a set of the plurality of frames or segments using the seeded pseudo-random generator; and
deriving, using a processor, a content signature for the content item from data within the set of the plurality of frames or segments, wherein the content signature comprises a reduced-bit representation of the set of the plurality of frames or segments.
2. The method of claim 1 , wherein the content signature comprises a unique identifier of the content item.
3. The method of claim 1 , wherein the content item comprises video.
4. The method of claim 3 , wherein the video comprises compressed video.
5. The method of claim 1 , wherein the content item comprise audio.
6. The method of claim 5 , wherein the audio comprises compressed audio.
7. The method of claim 1 , wherein the key comprises a unique identifier.
8. The method of claim 1 , wherein deriving the content signature comprises evaluating perceptually relevant features, a frequency domain analysis, hashing or a lossy transformation of the set of the plurality of frames or segments.
9. An apparatus comprising:
a processor configured to:
obtain a content item comprising a plurality of frames or segments;
obtain a key;
seed a pseudo-random generator with the key to;
select a set of the plurality of frames or segments using the seeded pseudo-random generator; and
derive a content signature for the content item from data within the set of the plurality of frames or segments, wherein the content signature comprises a reduced-bit representation of at least the set of the plurality of frames or segments.
10. The apparatus of claim 9 , wherein the content signature comprises a unique identifier of the content item.
11. The method of claim 9 , wherein the content item represents video.
12. The method of claim 9 , wherein the content item represents audio.
13. The apparatus of claim 9 , wherein the key comprises a unique identifier.
14. The apparatus of claim 9 , wherein the processor is configured to derive the content signature by evaluating perceptually relevant features, a frequency domain analysis, hashing or a lossy transformation of the set of the plurality of frames or segments.
15. A tangible computer-readable medium having instructions stored thereon, the instructions comprising:
instructions to obtain a content item comprising a plurality of frames or segments;
instructions to obtain a key;
instructions to seed a pseudo-random generator with the key to;
instructions to select a set of the plurality of frames or segments using the seeded pseudo-random generator; and
instructions to derive a content signature for the content item from data within the set of the plurality of frames or segments, wherein the content signature comprises a reduced-bit representation of at least the set of the plurality of frames or segments.
16. The tangible computer-readable medium of claim 15 , wherein the content signature comprises a unique identifier of the content item.
17. The tangible computer-readable medium of claim 15 , wherein the content item represents video.
18. The tangible computer-readable medium of claim 15 , wherein the content item represents audio.
19. The tangible computer-readable medium of claim 15 , wherein the key comprises a unique identifier.
20. The tangible computer-readable medium of claim 15 , wherein deriving the content signature comprises evaluating perceptually relevant features, a frequency domain analysis, hashing or a lossy transformation of the set of the plurality of frames or segments.