Picture selection method and related device

Patent metadata

Field	Value
Publication number	US-11758285-B2
Application number	US-202117330133-A
Country	US
Kind code	B2
Filing date	May 25, 2021
Priority date	Nov 30, 2018
Publication date	Sep 12, 2023
Grant date	Sep 12, 2023

Abstract

In a method for selecting pictures from a sequence of pictures of an object in motion, a computerized user device determines, for each picture in the sequence of pictures, a value of a motion feature of the object. Based on analyzing the values of the motion feature of the pictures in the sequence, the device identifies a first subset of pictures from the pictures in the sequence. The device then selects, based on a second selection criterion, a second subset of pictures from the first subset of pictures. The pictures in the second subset are displayed to a user for further selection.

First claim

What is claimed is:

1. A method performed by a computerized user device for selecting pictures from a sequence of pictures of an object in motion, comprising:
determining, for each picture in the sequence of pictures, a value of a motion feature of the object,
analyzing the values of the motion feature of the object by calculating inflection points in a curve of the values of the motion feature of the pictures in the sequence;
identifying, based on the inflection points in the curve, a first subset of pictures from the pictures in the sequence, wherein the first subset of pictures comprises pictures corresponding to the inflection points;
selecting, based on a second selection criterion, a second subset of pictures from the first subset of pictures; and
displaying the pictures in the second subset to a user for further selection.

2. A method as in claim 1 , wherein the motion feature of the object is a rate of change of a height of the object in the sequence of pictures.

3. A method as in claim 1 , wherein the motion feature of the object is a speed of the object.

4. A method as in claim 1 , wherein the motion feature of the object is a pace of the object.

5. A method as in claim 1 , wherein the motion feature of the object is an intra-frame gray level change.

6. A method as in claim 1 , wherein the step of identifying identifies pictures corresponding to the inflection points and pictures within a preset range before and after the inflection points as the first subset of pictures.

7. A method as in claim 1 , wherein the step of selecting comprises:
determining a quality metric value of each of the pictures in the first subset; and
selecting pictures from the first subset of pictures based on the quality metric values of the first subset of pictures as the second subset of pictures, wherein the second subset of pictures comprises pictures with quality metric values ranked top among the quality metric values of the pictures in the first subset.

8. A computerized user device for selecting pictures from a sequence of pictures of an object in motion, comprising:
a receiving interface;
a memory storing executable instructions; and
a processor configured to execute the executable instructions to:
determine, for each picture in the sequence of pictures, a value of a motion feature of the object;
analyze the values of the motion feature of the object by calculating inflection points in a curve of the values of the motion feature of the pictures in the sequence;
identify, based on the inflection points in the curve, a first subset of pictures from the pictures in the sequence, wherein the first subset of pictures comprises pictures corresponding to the inflection points;
select, based on a second selection criterion, a second subset of pictures from the first subset of pictures; and
display the pictures in the second subset to a user for further selection.

9. A device as in claim 8 , wherein the motion feature of the object is a rate of change of a height of the object in the sequence of pictures.

10. A device as in claim 8 , wherein the motion feature of the object is a speed of the object.

11. A device as in claim 8 , wherein the motion feature of the object is a pace of the object.

12. A device as in claim 8 , wherein the motion feature of the object is an intra-frame gray level change.

13. A device as in claim 8 , wherein the processor is configured to identify the first subset of pictures by:
identifying pictures corresponding to the inflection points and pictures within a preset range before and after the inflection points as the first subset of pictures.

14. A device as in claim 8 , wherein the processor is configured to select the second subset of pictures by performing operations of:
determining a quality metric value for each picture in the first subset of pictures; and
selecting pictures from the first subset of pictures based on the quality metric values of the pictures in the first subset as the second subset of pictures, wherein the second subset of pictures comprises pictures with quality metric values ranked top among the quality metric values of the pictures in the first subset.

15. A non-transitory computer-readable storage medium having stored thereon executable instructions that when executed by a processor of a computerized user device cause the computerized user device to perform operations of:
determining, for each picture in a sequence of pictures of an object in motion, a value of a motion feature of the object,
analyzing the values of the motion feature of the object by calculating inflection points in a curve of the values of the motion feature of the pictures in the sequence;
identifying, based on the inflection points in the curve, a first subset of pictures from the pictures in the sequence, wherein the first subset of pictures comprises pictures corresponding to the inflection points;
selecting, based on a second selection criterion, a second subset of pictures from the first subset of pictures; and
displaying the pictures in the second subset to a user for further selection.

Assignees

• Huawei Tech Co Ltd

Inventors

• Luo Daxin
• Song Fenglong
• Xu Songcen
• Liu Yi
• Yan Youliang
• Liu Jianzhuang
• Qian Li

Classifications

• G06T7/246 Primary

  using feature-based methods, e.g. the tracking of corners or segments · CPC title

• G06F16/53

  Querying · CPC title

• G06F16/51

  Indexing; Data structures therefor; Storage structures · CPC title

• G06T7/254

  involving subtraction of images · CPC title

• G06T2207/10016

  Video; Image sequence · CPC title