Gaze direction-based adaptive pre-filtering of video data
A multi-layer low-pass filter is used to filter a first frame of video data representing at least a portion of an environment of an individual. A first layer of the filter has a first filtering resolution setting for a first subset of the first frame, while a second layer of the filter has a second filtering resolution setting for a second subset. The first subset includes a data element positioned along a direction of a gaze of the individual, and the second subset of the frame surrounds the first subset. A result of the filtering is compressed and transmitted via a network to a video processing engine configured to generate a modified visual representation of the environment.
1. A method, comprising:
obtaining, at a first device using a first set of sensors, an environment data set comprising a first video frame corresponding to a scene visible to an individual;
obtaining, at the first device using a second set of sensors, a behavior data set comprising representations of one or more behaviors of the individual;
filtering at least a portion of the environment data set using a multi-layer filter at the first device, wherein the filtering comprises (a) applying a first layer of the multi-layer filter to a first subset of the first video frame and (b) applying a second layer of the multi-layer filter to a second subset of the first video frame, wherein a filtering resolution of the first layer differs from a filtering resolution of the second layer; and
obtaining, at the first device, content to be displayed to the individual, wherein at least a portion of the content is generated at a second device based at least in part on (a) a result of the filtering and (b) the behavior data set.
2. The method as recited in claim 1 , wherein the one or more behaviors includes a hand gesture of the individual.
3. The method as recited in claim 1 , wherein the one or more behaviors includes a face gesture of the individual.
4. The method as recited in claim 1 , wherein the one or more behaviors includes a head movement of the individual.
5. The method as recited in claim 1 , wherein the behavior data set includes an indication of an expression of the individual.
6. The method as recited in claim 1 , wherein the first device comprises one or more of: (a) a wearable device or (b) a head-mounted display.
7. The method as recited in claim 1 , wherein the second device comprises a processing engine of one or more of: (a) a mixed reality application, (b) a virtual reality application or (c) an augmented reality application.
8. A system, comprising:
one or more processors; and
one or more memories;
wherein the one or more memories store program instructions that when executed on or across the one or more processors perform a method comprising:
obtaining, at a first device using a first set of sensors, an environment data set comprising a first video frame corresponding to a scene visible to an individual;
obtaining, at the first device using a second set of sensors, a behavior data set comprising representations of one or more behaviors of the individual;
filtering at least a portion of the environment data set using a multi-layer filter at the first device, wherein the filtering comprises (a) applying a first layer of the multi-layer filter to a first subset of the first video frame and (b) applying a second layer of the multi-layer filter to a second subset of the first video frame, wherein a filtering resolution of the first layer differs from a filtering resolution of the second layer; and
obtaining, at the first device, content to be displayed to the individual, wherein at least a portion of the content is generated at a second device based at least in part on (a) a result of the filtering and (b) the behavior data set.
9. The system as recited in claim 8 , wherein the one or more behaviors includes a hand gesture of the individual.
10. The system as recited in claim 8 , wherein the one or more behaviors includes a face gesture of the individual.
11. The system as recited in claim 8 , wherein the one or more behaviors includes a head movement of the individual.
12. The system as recited in claim 8 , wherein the behavior data set includes an indication of an expression of the individual.
13. The system as recited in claim 8 , wherein the first device comprises one or more of: (a) a wearable device or (b) a head-mounted display.
14. The system as recited in claim 8 , wherein the second device comprises a processing engine of one or more of: (a) a mixed reality application, (b) a virtual reality application or (c) an augmented reality application.
15. One or more non-transitory computer-accessible storage media storing program instructions that when executed on or across one or more processors cause the one or more processors to perform a method comprising:
obtaining, at a first device using a first set of sensors, an environment data set comprising a first video frame corresponding to a scene visible to an individual;
obtaining, at the first device using a second set of sensors, a behavior data set comprising representations of one or more behaviors of the individual;
filtering at least a portion of the environment data set using a multi-layer filter at the first device, wherein the filtering comprises (a) applying a first layer of the multi-layer filter to a first subset of the first video frame and (b) applying a second layer of the multi-layer filter to a second subset of the first video frame, wherein a filtering resolution of the first layer differs from a filtering resolution of the second layer; and
obtaining, at the first device, content to be displayed to the individual, wherein at least a portion of the content is generated at a second device based at least in part on (a) a result of the filtering and (b) the behavior data set.
16. The one or more non-transitory computer-accessible storage media as recited in claim 15 , wherein the one or more behaviors includes a hand gesture of the individual.
17. The one or more non-transitory computer-accessible storage media as recited in claim 15 , wherein the one or more behaviors includes a face gesture of the individual.
18. The one or more non-transitory computer-accessible storage media as recited in claim 15 , wherein the one or more behaviors includes a head movement of the individual.
19. The one or more non-transitory computer-accessible storage media as recited in claim 15 , wherein the behavior data set includes an indication of an expression of the individual.
20. The one or more non-transitory computer-accessible storage media as recited in claim 15 , wherein the second device comprises a processing engine of one or more of: (a) a mixed reality application, (b) a virtual reality application or (c) an augmented reality application.