Method for video enabled electronic commerce
View Patent ↗A method is provided for conducting commerce over a network via vision-enabled content. First, content is encoded to convert it into vision-enabled content. Payment is received for vision-enabling the content. Also, a program to decode the vision-enabled content is provided. Finally, the vision-enabled content is sent to a user over a network. The program decodes the vision-enabled content and receives an image of the user. The vision-enabled content may include advertising content, entertainment content, and educational or instructional content. In one embodiment, the program combines the image of the user with the vision-enabled content. In another embodiment, the program utilizes the image of the user to control the vision-enabled content.
1. A method, comprising:
receiving a number of image frames of a user performing a gesture;
performing a body part recognition on one or more of the image frames to recognize a hand of the user;
detecting a forward movement of the hand as a button press gesture by:
repeating for a plurality of the image frames:
analyzing one of the image frames to determine particular coordinates of the hand at a particular time while the user is performing the gesture;
adding the particular coordinates to a frame data set; and
examining the particular coordinates such that the particular coordinates are compared to positional data making up a plurality of recognizable gestures, wherein a recognizable gesture is made up of at least one dimension such that the positional data describes dimensions of the recognizable gesture; and
determining whether the plurality of the data frame sets, when examined in a sequence, conveys a gesture by the user that resembles a recognizable button press gesture to cause an operation based on a predetermined meaning of the recognizable button press gesture.
2. The method of claim 1 , wherein the operation is a control of a device.
3. The method of claim 2 , wherein the device is a television.
4. The method of claim 1 , wherein the operation is control navigation of a web page.
5. The method of claim 1 , wherein the operation is control of vision-enabled content.
6. The method of claim 5 , wherein the vision-enabled content includes at least one of advertising content, entertainment content or education content.
7. A system for identifying a button press gesture, including:
a camera for obtaining a number of image frames of a user;
a processor; and
a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions that, when executed, cause the processor to:
perform a body part recognition on one or more of the image frames to recognize a hand of the user;
detect a forward movement of the hand as a button press gesture by:
repeating for a plurality of the image frames:
analyzing one of the image frames to determine particular coordinates of the hand at a particular time while the user is performing a gesture;
adding the particular coordinates to a frame data set; and
examining the particular coordinates such that the particular coordinates are compared to positional data making up a plurality of recognizable gestures, wherein a recognizable gesture is made up of at least one dimension such that the positional data describes dimensions of the recognizable gesture; and
determining whether the plurality of the data frame sets, when examined in a sequence, conveys a gesture by the user that resembles a recognizable button press gesture to cause an operation based on a predetermined meaning of the recognizable button press gesture.
8. The system of claim 7 , wherein the memory is further configured to provide the processor with instructions that, when executed, cause the processor to control a device upon detection of the button press gesture.
9. The system of claim 8 , wherein the device is a television.
10. The system of claim 7 , wherein the operation controls navigation of a web page.
11. The system of claim 7 , wherein the operation controls vision-enabled content.
12. The system of claim 11 , wherein the vision-enabled content includes at least one of advertising content, entertainment content or education content.
13. A computer program product for identifying a button press on a device, the computer program product being embodied in a computer storage medium and comprising computer instructions for:
receiving a plurality of image frames of a user performing a gesture;
performing a body part recognition on each of the image frames to recognize a hand of the user; and
identifying a button press on the device by detecting a button press gesture by:
analyzing the image frames to determine coordinates of the hand at particular times while the user is performing the gesture; and
comparing the coordinates to a sequence of coordinates that define a button press gesture.
14. The computer program product of claim 13 , wherein the instructions include instructions for:
analyzing each of the plurality of image frames for coordinates of the hand and adding the coordinates to a frame data set associated with the image frame; and
determining whether the plurality of the data frame sets, when examined in a sequence, conveys a button press gesture by the user.
15. The computer program product of claim 13 , further comprising computer instructions for using the identified button press to control the device.
16. The computer program product of claim 15 , wherein the device is a television.
17. The computer program product of claim 13 , further comprising instructions for controlling navigation of a web page upon the identification of the button press.
18. The computer program product of claim 13 , further comprising instructions for controlling vision-enabled content upon the identification of a button press.
19. The computer program product of claim 18 , wherein the vision-enabled content includes at least one of advertising content, entertainment content or education content.
20. A system, comprising:
means for receiving a number of image frames of a user performing a gesture;
means for performing a body part recognition on one or more of the image frames to recognize a hand of the user;
means for detecting a forward movement of the hand as a button press gesture by:
repeating for a plurality of the image frames:
analyzing one of the image frames to determine particular coordinates of the hand at a particular time while the user is performing the gesture;
adding the particular coordinates to a frame data set; and
examining the particular coordinates such that the particular coordinates are compared to positional data making up a plurality of recognizable gestures, wherein a recognizable gesture is made up of at least one dimension such that the positional data describes dimensions of the recognizable gesture; and
determining whether the plurality of the data frame sets, when examined in a sequence, conveys a gesture by the user that resembles a recognizable button press gesture to cause an operation based on a predetermined meaning of the recognizable button press gesture.