Granted Patent B2

US 7,783,120 · App. 12/367,176 · Granted Aug 24, 2010

Abstract

Claims (61)

1. A computer-implemented method comprising:

determining, with a processor, a probability that a viewer is looking at a first view location vs. a second view location;

compressing, with a processor, a first scene of an image sequence relating to the first view location based on a first plurality of foveation zones, at least one of the first plurality of foveation zones having a corresponding resolution so that at least one object associated with the first plurality of foveation zones is viewer-recognizable; and

compressing, with a processor, a second scene of the image sequence relating to a second view location based on a second plurality of foveation zones, at least one of the second plurality of foveation zones having a corresponding resolution so that at least one object associated with the second plurality of foveation zones is viewer-recognizable;

wherein at least a portion of the first scene and the second scene of the image sequence occur in the image sequence at the same time such that at least a portion of the image sequence is compressed based on both the first scene and the second scene; and

wherein during the portion of the image sequence that is compressed based on both the first scene and the second scene, the image sequence is compressed based on the probability that a viewer is looking at the first view location vs. the second view location.

2. The method of claim 1 , wherein each of the first plurality of foveation zones is weighted based on a probability of a viewer looking at a corresponding portion of the first scene.

3. The method of claim 1 , wherein each of the second plurality of foveation zones is weighted based on a probability of a viewer looking at a corresponding portion of the second scene.

4. The method of claim 1 , wherein the first plurality of foveation zones consists of a different number of foveation zones than the second plurality of foveation zones.

5. The method of claim 1 , further comprising:

determining view locations within the first scene for a sample of viewers;

determining the first plurality of foveation zones based on the view locations;

for each foveation zone of the first plurality of foveation zones, estimating a probability of a viewer looking at a corresponding portion of the first scene based on the view locations; and

weighting each of the foveation zones of the first plurality of foveation zones based on the probabilities.

6. The method of claim 5 , further comprising:

transmitting a compressed version of the image sequence to viewers whose view locations within the image sequence are not monitored.

7. The method of claim 1 , further comprising:

determining the first plurality of foveation zones based on a scene type for the first scene;

for each foveation zone of the first plurality of foveation zones, estimating a probability of a viewing looking at a corresponding portion of the first scene based on the scene type for the first scene; and

weighting each of the foveation zones based on the probability and a minimum acceptable resolution.

8. The method of claim 1 , wherein each of the first plurality of foveation zones is definable by a continuous falloff function.

9. The method of claim 1 , wherein each of the first plurality of foveation zones has a corresponding half-resolution constant based on a probability of a viewer looking at a corresponding portion of the first scene.

10. A non-transitory computer-readable storage medium comprising a set of instructions to direct a processor to perform acts of:

determining a probability that a viewer is looking at a first view location vs. a second view location;

compressing a first scene of an image sequence relating to the first view location based on a first plurality of foveation zones; and

compressing a second scene of the image sequence relating to the second view location based on a second plurality of foveation zones;

wherein at least a portion of the first scene and the second scene of the image sequence occur in the image sequence at the same time such that at least a portion of the image sequence is compressed based on both the first scene and the second scene; and

wherein during the portion of the image sequence that is compressed based on both the first scene and the second scene, the image sequence is compressed based on the probability that a viewer is looking at the first view location vs. the second view location.

11. The computer-readable storage medium of claim 10 , wherein the first plurality of foveation zones consists of a different number of foveation zones than the second plurality of foveation zones.

12. The computer-readable storage medium of claim 10 , further comprising a set of instructions to direct a processor to perform acts of:

determining view locations within the first scene for a sample of viewers;

determining the first plurality of foveation zones based on the view locations;

for each foveation zone of the first plurality of foveation zones, estimating a probability of a viewer looking at a corresponding portion of the first scene based on the view locations; and

weighting each of the foveation zones of the first plurality of foveation zones based on the probabilities.

13. The computer-readable storage medium of claim 12 , further comprising a set of instructions to direct a processor to perform acts of:

transmitting a compressed version of the image sequence to viewers whose view locations within the image sequence are not monitored.

14. The computer-readable storage medium of claim 10 , further comprising a set of instructions to direct a processor to perform acts of:

determining the first plurality of foveation zones based on a scene type for the first scene;

for each foveation zone of the first plurality of foveation zones, estimating a probability of a viewing looking at a corresponding portion of the first scene based on the scene type for the first scene; and

weighting each of the foveation zones based on the probability and a minimum acceptable resolution.

15. An apparatus comprising:

an image compressor, comprising a processor, the image compressor determining a probability that a viewer is looking at a first view location vs. a second view location, compressing a first scene of an image sequence relating to the first view location based on a first plurality of foveation zones, and compressing a second scene of the image sequence relating to the second view location based on a second plurality of foveation zones;

wherein at least a portion of the first scene and the second scene of the image sequence occur in the image sequence at the same time such that the image compressor compresses at least a portion of the image sequence based on both the first scene and the second scene; and

wherein during the portion of the image sequence that the image compressor compresses based on both the first scene and the second scene, the image compressor compresses the image sequence based on the probability that a viewer is looking at the first view location vs. the second view location.

16. The apparatus of claim 15 , wherein the image compressor is configured to:

determine view locations within the first scene for a sample of viewers;

determine the first plurality of foveation zones based on the view locations;

for each foveation zone of the first plurality of foveation zones, estimate a probability of a viewer looking at a corresponding portion of the first scene based on the view locations; and

weigh each of the foveation zones of the first plurality of foveation zones based on the probabilities.

17. The apparatus of claim 16 , wherein the image compressor is configured to:

determine the first plurality of foveation zones based on a scene type for the first scene;

for each foveation zone of the first plurality of foveation zones, estimate a probability of a viewing looking at a corresponding portion of the first scene based on the scene type for the first scene; and

weigh each of the foveation zones based on the probability and a minimum acceptable resolution.

18. A computer implemented method comprising:

determining, with a processor, a probability that a viewer is looking at a first view location vs. a second view location;

compressing, with a processor, a first scene of an image sequence relating to the first view location based on a first plurality of foveation zones; and

compressing, with a processor, a second scene of the image sequence relating to the second view location based on a second plurality of foveation zones;

wherein at least a portion of the first scene and the second scene of the image sequence occur in the image sequence at the same time such that at least a portion of the image sequence is compressed based on both the first scene and the second scene; and

wherein during the portion of the image sequence that is compressed based on both the first scene and the second scene, the image sequence is compressed based on the probability that a viewer is looking at the first view location vs. the second view location.

19. The method of claim 18 , wherein each of the first plurality of foveation zones is weighted based on a probability of a viewer looking at a corresponding portion of the first scene and wherein each of the second plurality of foveation zones is weighted based on a probability of a viewer look at a corresponding portion of the second scene.

20. The method of claim 18 , wherein each of the first plurality of foveation zones comprises a corresponding resolution so that at least one object therein is viewer-recognizable and wherein each of the second plurality of foveation zones comprises a corresponding resolution so that at least one object there in viewer-recognizable.

Assignments (6)