IP Library Granted Patent US 9,852,506
Granted Patent B1
US 9,852,506 · App. 15/262,847 · Granted Dec 26, 2017

Zoom and image capture based on features of interest

Inventors: Thad Eugene Starner (Mountain View, CA); Joshua Weaver (San Jose, CA)
Assignee: Google LLC
G06T7/0042G02B27/017G06F3/013G06F17/30256G06F17/30268H04N5/2253H04N5/23293H04N5/23296H04N5/2628G02B2027/0178
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Quick Facts
Patent No.
US 9,852,506
App. No.
15/262,847
Granted
Dec 26, 2017
Kind
B1
Abstract

Methods and systems for intelligently zooming to and capturing a first image of a feature of interest are provided. The feature of interest may be determined based on a first interest criteria. The captured image may be provided to a user, who may indicate a level of interest in the feature of interest. The level of interest may be based upon to store the captured image and capture another image. The level of interest may be a gradient value, or a binary value. The level of interest may be based upon to determine whether to store the captured image, and if so, a resolution at which the captured image is to be stored. The level of interest may also be based upon to determine whether to zoom to and capture a second image of a second feature of interest based on the first interest criteria or a second interest criteria.

Claims (76)

1. A system comprising:

at least one processor;

a non-transitory computer readable medium; and

program instructions stored on the non-transitory computer readable medium and executable by the at least one processor to perform functions comprising:

receiving image data corresponding to a field of view of an environment;

receiving input data indicative of a user input corresponding to a first interest criteria;

determining a first feature of interest within the first field of view based on the first interest criteria;

causing a camera to zoom and capture a first image of a portion of the field of view;

determining that there are no features of interest within the first image;

causing a camera to pan out and determine the first feature of interest within the field of view based on the first interest criteria;

causing a camera to zoom and capture a second image of a portion of the field of view;

determining one or more attributes indicating a context of the second image;

causing the second image of the first feature of interest to be stored in an image-attribute database.

2. The system of claim 1 , wherein the camera is attached to a head-mountable device (HMD), and wherein the image data is extracted from a point-of-view video captured by the camera.

3. The system of claim 1 , further comprising program instructions stored on the non-transitory computer readable medium and executable by the at least one processor to perform functions comprising storing the image of the determined first feature of interest in an image-attribute database, wherein the level of interest is above a predetermined interest threshold.

4. The system of claim 3 , wherein storing the image of the determined first feature of interest comprises:

based on a gradient value, determining an image resolution at which to store the second image;

causing the second image to be stored in the image-attribute database at the determined image resolution.

5. The system of claim 1 , wherein the program instructions further comprise instructions that cause the at least one processor to perform functions comprising capturing a third image based on the level of interest.

6. The system of claim 5 , wherein capturing a third image based on the level of interest further comprises:

determining a second feature of interest within a second field of view of the environment based on the first interest criteria; and

causing the camera to zoom to and capture a third image of the second feature of interest.

7. The system of claim 1 , wherein the level of interest is below a predetermined interest threshold, and wherein capturing a second image based on the level of interest further comprises:

determining a second feature of interest within the field of view of the environment based on a second interest criteria; and

causing the camera to zoom to and capture a third image of the second feature of interest.

8. The system of claim 1 , further comprising program instructions stored on the non-transitory computer readable medium and executable by the at least one processor to perform functions comprising:

receiving eye-tracking data indicating a gaze direction, wherein the eye-tracking data is received from an eye-tracking device; and

determining the first feature of interest within the first field of view based also on the obtained gaze direction.

9. The system of claim 1 , further comprising program instructions stored on the non-transitory computer readable medium and executable by the at least one processor to perform functions comprising:

receiving eye-tracking data indicating pupil dilation, wherein the eye-tracking data is received from an eye-tracking device; and

determining the first feature of interest within the first field of view based also on a degree of pupil dilation.

10. The system of claim 1 , further comprising program instructions stored on the non-transitory computer readable medium and executable by the at least one processor to perform functions comprising:

receiving physiological data indicating a physiological state, wherein the physiological data is received from one or more physiological sensors; and

determining the first feature of interest within the first field of view based also on the physiological state.

11. The system of claim 1 , wherein causing a camera to zoom to and capture the second image of a portion of the field of view that comprises the first feature of interest further comprises:

determining characteristics of the first feature of interest; and

determining an extent of the zoom based on the characteristics of the first feature of interest.

12. The system of claim 1 , wherein causing a camera to zoom to and capture the second image of a portion of the field of view that comprises the first feature of interest further comprises:

determining characteristics of the first feature of interest; and

determining a type of the zoom based on the characteristics of the first feature of interest.

13. A method comprising:

receiving image data corresponding to a field of view of an environment;

receiving input data indicative of a user input corresponding to a first interest criteria;

determining a first feature of interest within the first field of view based on the first interest criteria;

causing a camera to zoom and capture a first image of a portion of the field of view;

determining that there are no features of interest within the first image;

causing a camera to pan out and determine the first feature of interest within the field of view based on the first interest criteria;

causing a camera to zoom and capture a second image of a portion of the field of view;

determining one or more attributes indicating a context of the second image;

causing the second image of the first feature of interest to be stored in an image-attribute database.

14. The method of claim 13 , further comprising:

providing the image of the first feature of interest on a display; and

capturing a third image based on the level of interest.

15. The method of claim 13 , wherein the level of interest is above a predetermined interest threshold, and wherein causing the second image of the first feature of interest to be stored comprises:

based on the gradient value, determining an image resolution at which to store the second image; and

storing the first image in the image-attribute database at the determined image resolution.

16. The method of claim 15 , wherein the level of interest is below a predetermined interest threshold, and wherein capturing a third image based on the level of interest comprises:

determining a second feature of interest within the field of view of the environment based on a second interest criteria; and

causing the camera to zoom to and capture the third image of the second feature of interest.

17. The method of claim 13 , wherein causing a camera to zoom to and capture the second image of a portion of the field of view that comprises the first feature of interest further comprises:

determining characteristics of the first feature of interest; and

determining a type of the zoom based on the characteristics of the first feature of interest.

18. A non-transitory computer-readable medium having stored thereon instructions executable by a computing device to cause the computing device to perform functions comprising:

receiving image data corresponding to a field of view of an environment;

receiving input data indicative of a user input corresponding to a first interest criteria;

determining a first feature of interest within the first field of view based on the first interest criteria;

causing a camera to zoom and capture a first image of a portion of the field of view;

determining that there are no features of interest within the first image;

causing a camera to pan out and determine the first feature of interest within the field of view based on the first interest criteria;

causing a camera to zoom and capture a second image of a portion of the field of view;

determining one or more attributes indicating a context of the second image;

causing the second image of the first feature of interest to be stored in an image-attribute database.

19. The non-transitory computer-readable medium of claim 18 , wherein the functions further comprise capturing a third image based on the level of interest.

20. The non-transitory computer-readable medium of claim 18 , wherein causing a camera to zoom to and capture the second image of a portion of the field of view that comprises the first feature of interest further comprises:

determining characteristics of the first feature of interest; and

determining a type of the zoom based on the characteristics of the first feature of interest.

Assignments (2)
CHANGE OF NAME Recorded Dec 5, 2017
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 044695/0115 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 27, 2017
From: STARNER, THAD EUGENE; WEAVER, JOSHUA
To: GOOGLE INC.
Reel/Frame 043718/0895 →
Continuity (3)
Continuation 14885763 · Oct 16, 2015
Continuation 13617608 · Sep 14, 2012
Provisional Application 61584100 · Jan 6, 2012