CODING SCHEME FOR IDENTIFYING SPATIAL LOCATIONS OF EVENTS WITHIN VIDEO IMAGE DATA

• US 20100239016A1
• Filed: 03/19/2009
• Published: 09/23/2010
• Est. Priority Date: 03/19/2009
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated (Kyndryl Holdings, Inc.)
• Original Assignee: International Business Machines Corporation
• Inventors: Hampapur, Arun, Lu, Zuoxuan, Shu, Chiao-Fe, Russo, Stephen R., Tan, Chek K., Desimone, Michael J., Milite, Christopher S.
• Granted Patent: US 8,553,778 B2
• Time in Patent Office: Days
• US Class Current: 375/240.160
• CPC Class Codes: G06V 10/469 Contour-based spatial representations, e.g. vector-coding
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: H04N 19/167 Position within a video image, e.g. region of interest [ROI]
• CPC Class Codes: H04N 19/182 the unit being a pixel
• CPC Class Codes: H04N 19/25 with scene description coding, e.g. binary format for scenes [BIFS] compression
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

An invention for generating a coding schema for identifying a spatial location of an event within video image data is provided. In one embodiment, there is a spatial representation tool, including a compression component configured to receive trajectory data of an event within video image data, generate a lossless compressed contour-coded blob to encode the trajectory data of the event within video image data, and generate a lossy searchable code to enable searching of a relational database based on the trajectory data of the event within the video image data.

Claims

1. A method for generating a coding scheme for identifying a spatial location of an event within video image data comprising:

receiving trajectory data of an event within video image data;

generating a lossless compressed contour-coded blob to encode the trajectory data of the event within video image data; and

generating a lossy searchable code to enable searching of a relational database based on the trajectory data of the event within the video image data.

2. The method according to claim 1, the generating the lossless compressed contour-coded blob comprising:

dividing the video image data into a plurality of pixel regions; and

determining whether each of the plurality of pixel regions contains trajectory data of the event within the video image data.

3. The method according to claim 2, the generating the lossy searchable code comprising:

dividing the video image data into a second plurality of pixel regions, the second plurality of pixel regions comprising less pixel regions than the plurality of pixel regions for the lossless compressed contour-coded blob; and

determining whether each of the second plurality of pixel regions contains trajectory data of the event within the video image data.

4. The method according to claim 1, further comprising inputting the lossless compressed contour-coded blob, the lossy searchable code, and a trajectory identifier into the relational database.

5. The method according to claim 4, further comprising:

specifying a region of interest within the video image data;

converting the region of interest within the video image data to a lossy query code; and

comparing the lossy query code to the lossy searchable code within the relational database.

6. A system for generating a coding scheme for identifying a spatial location of an event within video image data comprising:

at least one processing unit;

memory operably associated with the at least one processing unit; and

a spatial representation tool storable in memory and executable by the at least one processing unit, the spatial representation tool comprising a compression component configured to;

receive trajectory data of an event within video image data; and

generate a lossless compressed contour-coded blob to encode the trajectory data of the event within video image data; and

generate a lossy searchable code to enable searching of a relational database based on the trajectory data of the event within the video image data.

7. The spatial representation tool according to claim 6, the compression component further configured to:

divide the video image data into a plurality of pixel regions; and

determine whether each of the plurality of pixel regions contains trajectory data of the event within the video image data.

8. The spatial representation tool according to claim 7, the compression component further configured to:

divide the video image data into a second plurality of pixel regions, the second plurality of pixel regions comprising less pixel regions than the plurality of pixel regions for the lossless compressed contour-coded blob; and

determine whether each of the second plurality of pixel regions contains trajectory data of the event within the video image data.

9. The spatial representation tool according to claim 6, further comprising an input component configured to input the lossless compressed contour-coded blob, the lossy searchable code, and a trajectory identifier into the relational database.

10. The spatial representation tool according to claim 9, further comprising a search component configured to:

specify a region of interest within the video image data;

convert the region of interest within the video image data to a lossy query code; and

compare the lossy query code to the lossy searchable code within the relational database.

11. A computer-readable medium storing computer instructions, which when executed, enables a computer system to generate a coding scheme for identifying a spatial location of an event within video image data, the computer instructions comprising:

receiving trajectory data of an event within video image data;

generating a lossless compressed contour-coded blob to encode the trajectory data of the event within video image data; and

generating a lossy searchable code to enable searching of a relational database based on the trajectory data of the event within the video image data.

12. The computer-readable medium according to claim 11, the computer instructions for generating the lossless compressed contour-coded blob further comprising:

dividing the video image data into a plurality of pixel regions; and

determining whether each of the plurality of pixel regions contains trajectory data of the event within the video image data.

13. The computer-readable medium according to claim 12, the computer instructions for generating the lossy searchable code further comprising:

dividing the video image data into a second plurality of pixel regions, the second plurality of pixel regions comprising less pixel regions than the plurality of pixel regions for the lossless compressed contour-coded blob; and

determining whether each of the second plurality of pixel regions contains trajectory data of the event within the video image data.

14. The computer-readable medium according to claim 11 further computer instructions for inputting the lossless compressed contour-coded blob, the lossy searchable code, and a trajectory identifier into the relational database.

15. The computer-readable medium according to claim 14, the computer instructions further comprising:

specifying a region of interest within the video image data;

converting the region of interest within the video image data to a lossy query code; and

comparing the lossy query code to the lossy searchable code within the relational database.

16. A method for deploying a spatial representation tool for use in a computer system that generates a coding scheme for identifying a spatial location of an event within video image data, the method comprising:

providing a computer infrastructure operable to;

receive trajectory data of an event within video image data; and

generate a lossless compressed contour-coded blob to encode the trajectory data of the event within video image data; and

generate a lossy searchable code to enable searching of a relational database based on the trajectory data of the event within the video image data.

17. The method according to claim 16, the computer infrastructure operable to generate the lossless compressed contour-coded blob further operable to:

divide the video image data into a plurality of pixel regions; and

determine whether each of the plurality of pixel regions contains trajectory data of the event within the video image data.

18. The method according to claim 17, the computer infrastructure operable to generate the lossy searchable code further operable to:

divide the video image data into a second plurality of pixel regions, the second plurality of pixel regions comprising less pixel regions than the plurality of pixel regions for the lossless compressed contour-coded blob; and

determine whether each of the second plurality of pixel regions contains trajectory data of the event within the video image data.

19. The method according to claim 16, the computer infrastructure further operable to input the lossless compressed contour-coded blob, the lossy searchable code, and a trajectory identifier into the relational database.

20. The method according to claim 19, the computer infrastructure further operable to:

specify a region of interest within the video image data;

convert the region of interest within the video image data to a lossy query code; and

compare the lossy query code to the lossy searchable code within the relational database.