Methods for using extracted feature vectors to perform an action associated with a product
A computer system comprising one or more processors and computer-readable media operatively connected thereto, having stored thereon instructions for carrying out the steps of: maintaining one or more databases comprising first electronic data comprising digitally created reference compact electronic representations for each of a plurality of reference electronic works and second electronic data associated with the reference electronic works and related to action information corresponding thereto; obtaining a first digitally created compact electronic representation comprising one or more extracted feature vectors of a first electronic work; identifying a matching reference electronic work by comparing the first digitally created compact electronic representation of the first electronic work with the first electronic data using a sub-linear search of the first electronic data; determining the action information corresponding to the matching reference electronic work based on the second electronic data; and associating the determined action information with the first electronic work.
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 on 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, wherein the one or more reference works are organized using a clustering technique to eliminate a subset of the one or more reference works to be searched by performing a comparison of cluster features;
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.