GENERATION OF CONSTRUCTED MODEL FOR CLIENT RUNTIME PLAYER USING MOTION POINTS SENT OVER A NETWORK

• US 20080231686A1
• Filed: 03/24/2008
• Published: 09/25/2008
• Est. Priority Date: 03/22/2007
• Status: Abandoned Application

• Current Assignee: Attune Interactive, Inc.
• Original Assignee: Attune Interactive, Inc.
• Inventors: Redlich, Sanford
• Application Number:
  US12/054,347
• Publication Number:
  US 20080231686A1
• Time in Patent Office: Days
• US Class Current: 348/14.08
• CPC Class Codes: H04N 7/15 Conference systems
• CPC Class Codes: H04N 7/157 defining a virtual conference space and using avatars or agents computer conference optimisation or adaptation H04L12/1827

Abstract

Particular embodiments generally relate to generating video of a view of a constructed model which was generated using information derived by behavior tracking analysis of video. A webcam may capture video of a human user on a first device. A constructed model based on behavioral changes detected in the video for a first user is displayed on a second device. Motion points may be determined from the video. The motion points may be sent across a network to a second device for display. A client runtime application may be used to display a video view of a constructed model based on the motion points. Instead of having the client runtime application generate the constructed model and the video view of it, a local application running in the local operating system is used to generate the constructed model and video view. The local video generator takes the motion points and generates the constructed model. Audio data may be processed, transferred, and synchronized with the video data.

Claims

1. A method for generating video, the method comprising:

receiving, over a network at a first device, motion points for video of a second user taken by a web camera from a second device, the motion points determined by a behavioral analysis in a video capture of the user using the web camera;

generating, using a local graphics processor of the first device, a constructed model for the user using the motion points;

generating a frame of video for the constructed model; and

inputting the frame of video into a client runtime application by simulating that the video frame was received from a web camera of the first device.

2. The method of claim 1, wherein receiving motion points comprises receiving the motion points from a shared folder on a server, wherein video of the user is not sent over the network.

3. The method of claim 1, wherein inputting the frame of video into the client runtime application comprises:

creating a representation of a web camera of the first device; and

sending the frame of video using the web camera representation to the client runtime application with an indication the frame is from the web camera of the first device.

4. The method of claim 1, wherein the motion points are stored in a designated trusted folder for the client runtime application, the designated trusted folder being a method to pass data to the client runtime application.

5. The method of claim 4, wherein the designated trusted folder is limited in size to an amount of storage less than the video frame for the user.

6. The method of claim 1, further comprising:

receiving, at the first device, motion points for video of a first user taken by a web camera from the first device, the motion points determined by a behavioral analysis in a video capture of a user using a webcam;

determining a constructed model associated with the first user using the motion points using a local graphics processor for the first device;

determining a frame of video for the constructed model; and

inputting the frame of video into the client runtime application by simulating that the video frame was received from a web camera of the first device.

7. The method of claim 1, further comprising:

receiving, at the first device, video of a first user taken by a web camera for the first device;

determining motion points for the video of the first user, the motion points determined by a behavioral analysis; and

storing the motion points in a designated trusted folder for the client runtime application, wherein the storing the motion points causes the client runtime application to retrieve the motion points.

8. The method of claim 7, wherein the client runtime application sends the motion points to the second device, wherein the second device is configured to generate video of a second constructed model using the motion points.

9. The method of claim 1, further comprising:

receiving audio from a microphone associated with the first device;

processing the audio from the microphone;

simulating the processed audio is received from the microphone for the first device;

inputting the audio into the client runtime application; and

sending the audio to the second device for output.

10. The method of claim 9, further comprising:

adding the motion points to the audio data before sending the audio to the second device for output.

11. The method of claim 1, further comprising:

receiving, at the first device, audio from the second device;

determining when the audio is ready to be played;

wherein generating the video frame is triggered such that the video frame is outputted in a synchronized manner with audio being played.

12. An apparatus configured to generate video, the apparatus comprising:

a local graphics processor;

a client runtime application; and

a video generator configured to;

receive, over a network, motion points for video of a user taken by a web camera from a device, the motion points determined by a behavioral analysis in a video capture of the user using the web camera;

generate, using the local graphics processor, a constructed model for the user using the motion points;

generate a frame of video for the constructed model; and

input the frame of video into the client runtime application by simulating that the video frame was received from a web camera of the apparatus.

13. The apparatus of claim 12, further comprising a designated trusted folder for the client runtime application, wherein the motion points are stored in the designated trusted folder such that the client runtime application can retrieve them.

14. Software encoded in one or more tangible media for execution by the one or more processors and when executed operable to:

receive, over a network at a first device, motion points for video of a user taken by a web camera from a second device, the motion points determined by a behavioral analysis in a video capture of the user using the web camera;

generate, using a local graphics processor of the first device, a constructed model for the user using the motion points;

generate a frame of video for the constructed model; and

input the frame of video into a client runtime application by simulating that the video frame was received from a web camera of the first device.

15. The software of claim 14, wherein the software operable to receive motion points comprises software operable to receive the motion points from a shared folder on a server, wherein video of the user is not sent over the network.

16. The software of claim 14, wherein the software operable to input the frame of video into the client runtime application comprises software operable to:

create a representation of the web camera of the second device; and

send the frame of video using a driver for the web camera to the client runtime application with an indication the frame is from the web camera of the first device.

17. The software of claim 14, wherein the motion points are stored in a designated trusted folder for the client runtime application, the designated trusted folder being a method to pass data to the client runtime application.

18. The software of claim 14, wherein the software is further operable to:

receive, at the first device, motion points for video of a second user taken by a web camera from the first device, the motion points determined by a behavioral analysis in a video capture of a user using a webcam;

determine a constructed model associated with the second user using the motion points using a local graphics processor for the first device;

determine a frame of video for the constructed model; and

input the frame of video into the client runtime application by simulating that the video frame was received from a web camera of the first device.

19. The software of claim 14, wherein the software is further operable to:

receive, at the first device, video of a second user taken by a web camera for the first device;

determine motion points for the video of the second user, the motion points determined by a behavioral analysis; and

store the motion points in a designated trusted folder for the client runtime application, wherein the storing the motion points causes the client runtime application to retrieve the motion points.

20. The software of claim 14, wherein the software is further operable to:

receive audio from a microphone associated with the first device;

process the audio from the microphone;

simulate the processed audio is received from the microphone for the first device;

input the audio into the client runtime application; and

send the audio to the second device for output.