System and method for customizing images

• US 10,698,939 B2
• Filed: 06/05/2017
• Issued: 06/30/2020
• Est. Priority Date: 10/26/2005
• Status: Active Grant

• Current Assignee: Cortica Ltd.
• Original Assignee: Cortica Ltd.
• Inventors: Raichelgauz, Igal, Odinaev, Karina, Zeevi, Yehoshua Y
• Primary Examiner(s): Torgrimson, Tyler J
• Application Number:
  US15/613,819
• Publication Number:
  US 20170270109A1
• Time in Patent Office: 1,121 Days
• CPC Class Codes: G06F 16/14 Details of searching files based on file metadata
• CPC Class Codes: G06F 16/152 using file content signatures, e.g. hash values
• CPC Class Codes: G06F 16/41 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

A method for customizing an image. The method includes causing generation of at least one signature for an input image, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata representing the concept; comparing the generated at least one signature to at least one signature representing at least one common visual attribute among a plurality of reference images; determining, based on the comparison, whether to customize the input image; and customizing the input image with respect to at least one of the at least one common visual attribute, when it is determined to customize the input image.

Claims

1. A method for customizing an image, comprising:

causing generation of at least one signature for an input image, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata representing the concept;

comparing the generated at least one signature to at least one signature representing at least one common visual attribute among a plurality of reference images;

determining, based on the comparison, whether to customize the input image; and

customizing the input image with respect to at least one of the at least one common visual attribute, when it is determined to customize the input image;

wherein the at least one common visual attribute includes at least one of;

a lighting condition, a proportion, an orientation, a color gradient, a facial expression, and a background characteristic.

2. The method of claim 1, wherein at least one of the generated at least one signature represents a visual attribute of the input image, wherein customizing the input image further comprises:

determining, based on the at least one visual attribute of the input image and the at least one common visual attribute, at least one customization rule to be applied to the input image; and

applying the determined at least one customization rule to the input image, each customization rule defining a manipulation of at least a portion of an image.

3. The method of claim 1, Wherein the at least one common visual attribute includes a plurality of sets of common visual attributes, wherein each set is related to a different type of visual attribute, further comprising:

comparing the generated at least one signature to a plurality of signatures representing common visual attributes of each set to determine at least one non-matching set, wherein the input image is customized with respect to each type of visual attribute related to one of the at least one non-matching set.

4. The method of claim 1, further comprising:

analyzing the plurality of reference images to determine the at least one common visual attribute.

5. The method of claim 4, wherein analyzing the plurality of reference images further comprises:

for each reference image, determining, based on at least one signature generated for the reference image, a plurality of visual attribute concepts, each visual attribute concept representing a visual attribute of the reference image, wherein the determined at least one common visual attribute includes each visual attribute represented by at least two of the determined visual attribute concepts.

6. The method of claim 1, wherein determining whether to customize the input image further comprises:

determining whether the input image is a self-portrait image, wherein it is determined to customize the input image when the input image is a self-portrait image.

7. The method of claim 6, wherein determining whether the input image is a self-portrait image further comprises:

identifying a capturing device that captured the input image, wherein the determination of whether the input image is a self-portrait image is based on the identified capturing device.

8. The method of claim 6, wherein determining whether the input image is a self-portrait image further comprises:

determining, based on the generated at least one signature, whether at least one face is shown in the input image, wherein it is determined to that the input image is a self-portrait image when it is determined that at least one face is shown in the input image.

9. The method of claim 1, wherein each signature is generated by a signature generator system, wherein the signature generator system includes a plurality of at least partially statistically independent computational cores, wherein the properties of each core are set independently of the properties of each other core.

10. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

causing generation of at least one signature for an input image, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata representing the concept;

comparing the generated at least one signature to at least one signature representing at least one common visual attribute among a plurality of reference images;

determining, based on the comparison, whether to customize the input image; and

customizing the input image with respect to at least one of the at least one common visual attribute, when it is determined to customize the input image;

wherein the at least one common visual attribute includes at least one of;

a lighting condition, a proportion, an orientation, a color gradient, a facial expression, and a background characteristic.

11. A system for determining driving decisions based on multimedia content elements, comprising:

a processing circuitry; and

a memory connected to the processing circuitry, the memory containing instructions that, when executed by the processing circuitry, configure the system to;

cause generation of at least one signature for an input image, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata representing the concept;

compare the generated at least one signature to at least one signature representing at least one common visual attribute among a plurality of reference images;

determine, based on the comparison, whether to customize the input image; and

customize the input image with respect to at least one of the at least one common visual attribute, when it is determined to customize the input image;

wherein the at least one common visual attribute includes at least one of;

a lighting condition, a proportion, an orientation, a color gradient, a facial expression, and a background characteristic.

12. The system of claim 11, wherein at least one of the generated at least one signature represents a visual attribute of the input image, wherein the system is further configured to:

determine, based on the at least one visual attribute of the input image and the at least one common visual attribute, at least one customization rule to be applied to the input image; and

apply the determined at least one customization rule to the input image, each customization rule defining a manipulation of at least a portion of an image.

13. The system of claim 11, wherein the at least one common visual attribute includes a plurality of sets of common visual attributes, wherein each set is related to a different type of visual attribute, wherein the system is further configured to:

compare the generated at least one signature to a plurality of signatures representing common visual attributes of each set to determine at least one non-matching set, wherein the input image is customized with respect to each type of visual attribute related to one of the at least one non-matching set.

14. The system of claim 11, wherein the system is further configured to:

analyze the plurality of reference images to determine the at least one common visual attribute.

15. The system of claim 14, wherein the system is further configured to:

for each reference image, determine, based on at least one signature generated for the reference image, a plurality of visual attribute concepts, each visual attribute concept representing a visual attribute of the reference image, wherein the determined at least one common visual attribute includes each visual attribute represented by at least two of the determined visual attribute concepts.

16. The system of claim 11, wherein the system is further configured to:

determining whether the input image is a self-portrait image, wherein it is determined to customize the input image when the input image is a self-portrait image.

17. The system of claim 16, wherein the system is further configured to:

identify a capturing device that captured the input image, wherein the determination of whether the input image is a self-portrait image is based on the identified capturing device.

18. The system of claim 16, wherein the system is further configured to:

determine, based on the generated at least one signature, Whether at least one face is shown in the input image, wherein it is determined to that the input image is a self-portrait image when it is determined that at least one face is shown in the input image.

19. The system of claim 11, wherein each signature is generated by a signature generator system, wherein the signature generator system includes a plurality of at least partially statistically independent computational cores, wherein the properties of each core are set independently of the properties of each other core.