Foveated video link for VR with gaze tracking
Video stream data is selectively scaled so that sections within regions of interest (ROI) maintain high resolution while areas not within the region of interest are down-scaled to reduce bandwidth cost of transmission. A low compression encoder compresses sections of a video frame corresponding to one or more ROI without motion search or prediction mode decision to generate low-compression section data. The video frame is downscaled and a high compression encoder compresses the resulting downscaled video frame with prediction mode decision to generate high-compression frame data.
1. A method comprising:
a) compressing one or more sections of a video frame corresponding to one or more regions of interest with a low compression encoder to generate low-compression section data, wherein the low compression encoder, encodes the one or more sections of the video frame corresponding to the one or more regions of interest as intra frames without motion search or prediction mode decision; and
b) downscaling the video frame and compressing a resulting downscaled video frame with a high compression encoder to generate high-compression frame data, wherein the compressing with the high compression encoder includes prediction mode decision.
2. The method of claim 1 wherein a) further comprises applying a mask to an edge of the one or more sections of the corresponding to the one or more regions of interest to generate a gradient of resolution degradation.
3. The method of claim 2 wherein applying the mask generates a linear gradient of resolution degradation.
4. The method of claim 2 wherein applying the mask generates a non-linear gradient of resolution degradation.
5. The method of claim 1 wherein compressing one or more subsections of the video frame corresponding to the one or more regions of interest includes adjusting a size of the one or more regions of interest in response to motion sickness related information.
6. The method of claim 5 wherein the motion sickness related response is a visual movement threshold.
7. The method of claim 5 wherein the motion sickness related response is detected by one or more sensors.
8. A system, comprising:
a processor;
a memory coupled to the processor containing processor executable instructions, that when executed case the processor to implement a method, the method comprising:
a) compressing one or more sections of a video frame corresponding to one or more regions of interest with a low compression encoder to generate low-compression section data, wherein the low compression encoder encodes the one or more sections of the video frame corresponding to the one or more regions of interest as intra frames without motion search or prediction mode decision; and
b) downscaling the video frame and compressing a resulting downscaled video frame with a high compression encoder to generate high-compression frame data, wherein the compressing with the high compression encoder includes prediction mode decision.
9. The system of claim 8 wherein a) further comprises applying a mask to an edge of the one or more sections of the corresponding to the one or more regions of interest to generate a gradient of resolution degradation.
10. The system of claim 9 wherein applying the mask generates a linear gradient of resolution degradation.
11. The system of claim 9 wherein applying the mask generates a non-linear gradient of resolution degradation.
12. The system of claim 8 wherein compressing one or more subsections of the video frame corresponding to the one or more regions of interest includes adjusting a size of the one or more regions of interest in response to motion sickness related information.
13. The system of claim 12 wherein the motion sickness related response is a visual movement threshold.
14. The system of claim 12 wherein the motion sickness related response is detected by one or more sensors.
15. A non-transitory computer-readable medium having computer executable instructions, that when executed case a computer to implement a method, the method comprising:
a) compressing one or more sections of a video frame corresponding to one or more regions of interest with a low compression encoder to generate low-compression section data, wherein the low compression encoder, encodes the one or more sections of the video frame corresponding to the one or more regions of interest as intra frames without motion search or prediction mode decision; and
b) downscaling the video frame and compressing a resulting downscaled video frame with a high compression encoder to generate high-compression frame data, wherein the compressing with the high compression encoder includes prediction mode decision.
16. A method comprising:
a) decompressing high-compression frame data corresponding to a downscaled video frame to generate downscaled video frame data, wherein the high-compression frame data includes prediction frames;
b) upscaling the downscaled video frame data to generate up-scaled video frame data;
c) decompressing low-compression data for one or more sections of the video frame that correspond to one or more regions of interest to generate region of interest data, wherein the one or more sections of the video frame are encoded as Intra frames without motion search or prediction mode decision; and
d) combining the up-scaled video frame data with the region of interest data to generate a combined frame.
17. The method of claim 16 wherein d) includes determining a location to place the one or more sections of the video frame that correspond to the one or more regions of interest in the combined frame.
18. The method of 16 , further comprising using gaze tracking information to determine a location to place the one or more sections of the video frame that correspond to the one or more regions of interest in the combined frame.
19. The method of claim 16 , further comprising applying a mask to the one or more sections of the video frame that correspond to the one or more regions of interest to generate a resolution degradation gradient between portions of the combined frame corresponding to the up-scaled video frame and the one or more sections of the video frame that correspond to the one or more regions of interest at an edge of the one or more regions of interest.
20. The method of claim 19 , further comprising applying a second mask to the up-scaled video frame data to dim the up-scaled video frame.
21. The method of claim 19 wherein the mask generates a linear degradation gradient.
22. The method of 19 wherein the mask generates a non-linear degradation gradient.
23. The method of claim 16 , further comprising adjusting a size of the one or more regions of interest based on a motion sickness related response.
24. The method of claim 23 wherein the motion sickness related response is a galvanic skin response.
25. The method of claim 24 wherein the motion sickness related response is a user determined threshold for a motion vector within the video frame.
26. A system, comprising:
a processor;
a memory coupled to the processor containing processor executable instructions, that when executed case the processor to implement a method, the method comprising:
a) decompressing high-compression frame data corresponding to a downscaled video frame to generate downscaled video frame data;
b) upscaling the downscaled video frame data to generate up-scaled video frame data;
c) decompressing low-compression data for one or more sections of the video frame that correspond to one or more regions of interest to generate region of interest data wherein the one or more sections of the video frame are encoded as Intra frames without motion search or prediction mode decision; and
d) combining the up-scaled video frame data with the region of interest data to generate a combined frame.
27. The system of claim 26 wherein d) includes determining a location to place the one or more sections of the video frame that correspond to the one or more regions of interest in the combined frame.
28. The system of claim 26 , wherein the method further includes using gaze tracking information to determine a location to place the one or more sections of the video frame that correspond to the one or more regions of interest in the combined frame.
29. The system of claim 26 , wherein the method further includes applying a mask to the one or more sections of the video frame that correspond to the one or more regions of interest to generate a resolution degradation gradient between portions of the combined frame corresponding to the up-scaled video frame and the one or more sections of the video frame that correspond to the one or more regions of interest at an edge of the one or more regions of interest.
30. The system of claim 29 , further comprising applying a second mask to the up-scaled video frame data to dim the up-scaled video frame.
31. The system of claim 29 wherein the mask generates a linear degradation gradient.
32. The system of claim 29 wherein the mask generates a non-linear degradation gradient.
33. The system of claim 26 , further comprising adjusting a size of the one or more regions of interest based on a motion sickness related response.
34. The system of claim 33 wherein the motion sickness related response is a galvanic skin response.
35. The system of claim 34 wherein the motion sickness related response is a user determined threshold for a motion vector within the video frame.
36. A non-transitory computer-readable medium having computer executable instructions, that when executed case a computer to implement a method, the method comprising:
a) decompressing high-compression frame data corresponding to a downscaled video frame to generate downscaled video frame data;
b) upscaling the downscaled video frame data to generate up-scaled video frame data;
c) decompressing low-compression data for one or more sections of the video frame that correspond to one or more regions of interest to generate region of interest data wherein the one or more sections of the video frame are encoded as Intra frames without motion search or prediction mode decision; and
d) combining the up-scaled video frame data with the region of interest data to generate a combined frame.