Methods for using extracted feature vectors to perform an action associated with a product
A method comprising the steps of: receiving, from a user electronic device at a computer system, one or more extracted feature vectors that are compact representations of one or more video frames of a video displayed at the user device; identifying, at the computer system, one or more products related to the one or more video frames based at least in part on an approximate nearest neighbor search of an electronic database of reference feature vectors corresponding to one or more reference works that identifies any match within a threshold of at least one of the reference feature vectors to the one or more extracted feature vectors but does not guarantee to identify the closest match to the one or more extracted feature vectors; providing, by the computer system to the user electronic device, the identified one or more products along with action information associated with the identified one or more products, wherein the action information is related to an action to be performed at the user electronic device; receiving, at the computer system from the user electronic device, a selection of one of the identified one or more products; and providing, to the electronic device, machine readable instructions for performance of the action associated with the selected one of the identified one or more products.
1. A method comprising:
receiving, from a user electronic device at a computer system, one or more extracted feature vectors that are compact representations of one or more video frames of a video displayed at the user device;
identifying, at the computer system, one or more products related to the one or more video frames based at least in part on an approximate nearest neighbor search, which is a sub-linear search of an electronic database of reference feature vectors corresponding to one or more reference works that identifies any match within a threshold of at least one of the reference feature vectors to the one or more extracted feature vectors but does not guarantee to identify the closest match to the one or more extracted feature vectors;
providing, by the computer system to the user electronic device, the identified one or more products along with action information associated with the identified one or more products, wherein the action information is related to an action to be performed at the user electronic device;
receiving, at the computer system from the user electronic device, a selection of one of the identified one or more products; and
providing, to the electronic device, machine readable instructions for performance of the action associated with the selected one of the identified one or more products.
2. The method of claim 1 , wherein the extracted feature vectors are a pseudo-random sample of pixels from the at least the portion of the one or more video frames.
3. The method of claim 1 , wherein the extracted feature vectors are a low-resolution copy of the at least the portion of the one or more video frames.
4. The method of claim 1 , wherein the extracted feature vectors are average intensities of one or more blocks of pixels of the at least the portion of the one or more video frames.
5. The method of claim 1 , wherein the action associated with the selected one of the identified one or more products is redirecting a request to an associate website by a network address translation.
6. The method of claim 1 , wherein the action associated with the selected one of the identified one or more products is displaying additional information to the user.
7. The method of claim 1 , wherein the action associated with the selected one of the identified one or more products is automatically dialing a telephone number.
8. The method of claim 1 , wherein the user electronic device is a personal computer.
9. The method of claim 1 , wherein the user electronic device is a cell phone.
10. The method of claim 1 , wherein the user electronic device is a set top box.