METHOD AND APPARATUS FOR IMAGE OR VIDEO STABILIZATION

• US 20090066800A1
• Filed: 09/05/2008
• Published: 03/12/2009
• Est. Priority Date: 09/06/2007
• Status: Abandoned Application

• Current Assignee: Texas Instruments, Inc.
• Original Assignee: Texas Instruments, Inc.
• Inventors: Wei, Dennis
• Application Number:
  US12/205,583
• Publication Number:
  US 20090066800A1
• Time in Patent Office: Days
• US Class Current: 348/208.990
• CPC Class Codes: H04N 23/68 for stable pick-up of the scene, e.g. compensating for camera body vibrations
• CPC Class Codes: H04N 23/6811 based on the image signal

Abstract

A stabilization method and apparatus for at least one of an image or a video. The stabilization method comprising estimating inter-frame translation, inter-frame rotation and intentional motion, utilizing the estimation for determining motion compensation, and performing the motion compensation utilizing the determined motion compensation.

Claims

1. A stabilization method for at least one of an image or a video, comprising:

estimating inter-frame translation, inter-frame rotation and intentional motion;

utilizing the estimation for determining motion compensation; and

performing the motion compensation utilizing the determined motion compensation.

2. The stabilization method of claim 1, wherein the stabilization method utilizes at least one of a tiered motion estimation or a tiered motion compensation comprising at least one of multi-dimensional translation and rotation, multi-dimensional translation or single dimensional translation.

3. The stabilization method of claim 1, wherein the stabilization method is utilized in real-time video stabilization, and wherein the real-time video stabilization utilizes digital processing.

4. The stabilization method of claim 1, wherein the estimation step comprises:

identifying features from at least one block suitable for refining the motion estimates;

estimating inter-frame translation of the identified features; and

fitting the feature motion vectors to an affine model describing motion of at least one of the image or the video.

5. The stabilization method of claim 4, wherein at least one boundary signal is utilized for at least one of estimating the motion of at least one block or evaluating sum of absolute differences profiles of a feature.

6. The stabilization method of claim 4, wherein the fitting step rejects outlying feature motion vectors and estimates parameters, depending on data quality of the at least one of image or video.

7. The stabilization method of claim 1, wherein the estimation of intentional motion avoids compensating for deliberate camera movement.

8. The stabilization method of claim 1, wherein the estimation of intentional motion comprises incorporating measurements of at least one of first differences or cumulative motion parameters of a current frame of at least one of the image or the video.

9. The stabilization method of claim 1, wherein the step of determining motion compensation comprises ensuring that an output grid does not extend beyond frame boundaries of at least one of the image or the video.

10. The stabilization method of claim 9, wherein the ensuring step comprising:

disabling motion compensation when at least one of the corresponding motion estimates is unavailable or when the magnitude of intentional motion is determined to be too large for reliable stabilization; and

gradually re-enabled motion compensation over a period of a number of frames to reduce abrupt changes in compensation.

11. The stabilization method of claim 1, wherein the disabling and the gradual re-enabling of motion compensation are performed due to low reliability.

12. An apparatus utilized for stabilizing at least one of an image or a video, comprising:

means for estimating inter-frame translation, inter-frame rotation and intentional motion;

means for utilizing the estimation for determining motion compensation; and

means for performing the motion compensation utilizing the determined motion compensation.

13. The apparatus of claim 12, wherein at least one boundary signal is utilized for at least one of estimating the motion of at least one block or evaluating sum of absolute differences profiles of features.

14. The apparatus of claim 12, wherein the means for estimating comprises:

means for identifying features from at least one block suitable for refining the motion estimates;

means for estimating inter-frame translation of the identified features; and

means for fitting the feature motion vectors to an affine model describing the motion of at least one of the image or the video.

15. The apparatus of claim 14, wherein the means for fitting rejects outlying features and estimates parameters, depending on data quality of the at least one of image or video.

16. The apparatus of claim 12, wherein the estimation of intentional motion avoids compensating for deliberate camera movements.

17. The apparatus of claim 12, wherein the estimation of intentional motion comprises a means for incorporating measurements of at least one of first differences or cumulative motion parameters of the current frame of at least one of the image or the video.

18. The apparatus of claim 12, wherein the estimation for determining motion compensation comprises ensuring that the output grid does not extend beyond frame boundaries of at least one of the image or the video.

19. The apparatus of claim 18, wherein the ensuring that the output grid does not extend beyond the frame boundaries, comprising:

means for disabling motion compensation when at least one of the corresponding motion estimates is unavailable or when magnitude of intentional motion or acceleration is determined to be too large for reliable stabilization; and

means for gradually re-enabled motion compensation over a period of a number of frames to reduce abrupt changes in compensation.

20. A computer readable medium comprising instruction when executed by a computer performs a stabilization method, the stabilization method comprising:

estimating inter-frame translation, inter-frame rotation and intentional motion;

utilizing the estimation for determining motion compensation; and

performing the motion compensation utilizing the determined motion compensation.