Methods for using extracted features to perform an action
A method that extracts features from frames of a video signal to perform an action includes receiving a query related to one or more frames of a video signal; extracting one or more features of the one or more frames; identifying one or more annotations associated with the one or more frames; identifying one or more images related to the one or more frames by comparing the extracted features with reference features from a first plurality of reference works, the first plurality of reference works organized using a clustering technique based on annotations; providing the identified one or more images along with action information associated with the identified one or more images, wherein the action information is related to an action to be performed; receiving a selection of one of the identified one or more images and providing machine readable instructions to perform the action.
1. A method comprising:
(a) receiving, at a computer system from a user electronic device, a query related to one or more frames from a video signal displayed at the user electronic device;
(b) receiving, at the computer system, one or more extracted features of the one or more frames, wherein the one or more extracted features include a compact representation of at least a portion of the one or more frames related to one or more blocks of pixels of the frame;
(c) identifying, using the computer system, one or more annotations associated with the one or more frames;
(d) identifying, at the computer system, one or more images related to the one or more frames by comparing the one or more extracted features from the one or more frames with reference features from a first plurality of reference works using a sub-linear search of reference features that identifies one or more matches to the one or more frames but does not guarantee to identify an exact match to the one or more frames, wherein the first plurality of reference works are organized using a clustering technique based on annotations including the one or more annotations to eliminate a second plurality of reference works from being searched;
(e) providing, by the computer system to the user electronic device, the identified one or more images along with action information associated with the identified one or more images, wherein the action information is related to an action to be performed at the user electronic device;
(f) receiving, at the computer system from the user electronic device, a selection of one of the identified one or more images; and
(g) providing, to the electronic device, machine readable instructions for performance of the action associated with the selected one of the identified one or more images.
2. The method of claim 1 , wherein the one or more extracted features comprise a low-resolution copy of the at least the portion of the one or more frames.
3. The method of claim 1 , wherein the one or more extracted features comprise average intensities of n times n blocks of pixels of the at least the portion of the one or more frames.
4. The method of claim 1 , wherein the one or more extracted features comprise a pseudo-random sample of pixels from the at least the portion of the one or more frames.
5. The method of claim 1 , wherein step (c) is performed by using optical character recognition software on the one or more frames.
6. The method of claim 1 , wherein step (c) is performed by using closed captioning information.
7. The method of claim 1 , wherein the first plurality of reference works comprise content delivered via television broadcast.
8. The method of claim 1 , wherein the action associated with the selected one of the identified one or more images is redirecting a request to an associate website by a network address translation.
9. The method of claim 1 , wherein the action associated with the selected one of the identified one or more images is displaying additional information to the user.
10. The method of claim 1 , wherein the action associated with the selected one of the identified one or more images is automatically dialing a telephone number.
11. The method of claim 1 , wherein the user electronic device is a personal computer.
12. The method of claim 1 , wherein the user electronic device is a cell phone.
13. The method of claim 1 , wherein the user electronic device is a set top box.
14. A method comprising:
(a) receiving, at a computer system from a user electronic device, an electronic work;
(b) obtaining, at the computer system, one or more extracted features of a portion of the electronic work, wherein the one or more extracted features include a compact representation of at least the portion;
(c) identifying, at the computer system, a first reference work related to the portion by comparing the one or more extracted features from the portion with reference features from a first plurality of reference works using a non-exhaustive near neighbor search of reference features that identifies one or more matches to the portion but does not guarantee to identify an exact match to the portion, wherein the reference features from the first plurality of reference works are organized using a clustering technique to eliminate a second plurality of reference works from being searched;
(d) storing, by the computer system in a database, a work identifier associated with the electronic work, the identified first reference work along with action information associated with the identified first reference work, wherein the action information is related to an action to display an advertisement to be performed at a second user electronic device; and
(e) in response to a request to access the electronic work by a second user electronic device, providing, to the second user electronic device, machine readable instructions for performance of the action.
15. The method of claim 14 , wherein the portion of the electronic work comprises one or more frames of a video signal.
16. The method of claim 15 , further comprising, prior to step (c):
identifying, using the computer system, one or more annotations associated with the one or more frames; and
wherein the clustering techniques of step (c) includes clustering based on annotations including the one or more annotations step.
17. The method of claim 14 , wherein the portion of the electronic work comprises a portion of an audio signal.
18. The method of claim 14 , wherein the electronic work comprises a portion of an audio signal and a portion of a video signal.