Information processing apparatus, method and computer program product

• US 10,528,852 B2
• Filed: 09/01/2017
• Issued: 01/07/2020
• Est. Priority Date: 03/22/2017
• Status: Active Grant

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: Tonouchi, Yojiro, Ouchi, Kazushige, Umeki, Hideo
• Primary Examiner(s): Couso, Yon J
• Application Number:
  US15/694,594
• Publication Number:
  US 20180276506A1
• Time in Patent Office: 858 Days
• CPC Class Codes: G06F 3/14 Digital output to display device ; Cooperation and interconnection of the display device with other functional units
• CPC Class Codes: G06V 20/582 of traffic signs
• CPC Class Codes: G06V 30/10 Character recognition
• CPC Class Codes: G06V 30/142 using hand-held instruments; Constructional details of the instruments
• CPC Class Codes: G06V 30/222 of characters separated by spaces
• CPC Class Codes: G06V 30/412 Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables

Abstract

According to one embodiment, an information processing device includes a memory and a processor. The processor is configured to acquire an image, determine a likelihood of presence of an objected within the image, display information on a position of the object within the image based on the likelihood, identify the object within the image, and generate a recognition result based on the identified object.

Claims

1. An information processing device comprising:

a memory; and

a processor configured to;

acquire an image;

determine a likelihood of presence of an object within the image;

display information on a position of the object within the image based on the likelihood;

identify the object within the image; and

generate a recognition result based on the identified object,

wherein the processor is further configured to;

identify a first object within a first image and a second object within a second image;

generate a first recognition result based on the identified first object;

generate a second recognition result based on the identified second object;

perform a display process for the first image when the first recognition result of the first object is selected; and

perform a display process for the second image when the second recognition result of the second object is selected.

2. The device of claim 1, wherein the position of the object is displayed before the object is identified.

3. The device of claim 1, wherein the processor is further configured to:

display the recognition result after the object is identified.

4. The device of claim 1, wherein the information on the position of the object in the image includes a visual indicator of the position within at least one part of the image.

5. The device of claim 1, wherein the information on the position of the object in the image includes a frame border that encompasses at least one part of the image.

6. The device of claim 1, wherein the information on the position of the object in the image includes color information based on the likelihood of presence of the object.

7. The device of claim 1, wherein the information on the position of the object in the image includes character string information that indicates the identification of the object is in progress.

8. The device of claim 1, wherein the information on the position of the object in the image includes information on the likelihood of presence of the object.

9. The device of claim 1, further comprising:

a display that displays the image.

10. An information processing device comprising:

a memory; and

a processor configured to;

acquire an image;

determine a likelihood of presence of an object within the image;

display information on a position of the object within the image based on the likelihood;

identify the object within the image; and

generate a recognition result based on the identified object,

wherein the processor is further configured to;

identify a first object included in a first image and a second object included in a second image;

generate a recognition result based on the identified first object and the identified second object; and

perform a display process of the recognition result of the first object when the first object and the second object are a same object.

11. An information processing method comprising:

acquiring an image;

determining a likelihood of presence of an object within the image;

displaying information on a position of the object within the image based on the likelihood of presence of the object;

identifying the object within the image; and

generating a recognition result based on the identified object, wherein

identifying the object comprises identifying a first object within a first image and a second object within a second image,

generating the recognition result comprises generating a first recognition result based on the identified first object and generating a second recognition result based on the identified second object,

a display process for the first image is performed when the first recognition result of the first object is selected, and

a display process for the second image is performed when the second recognition result of the second object is selected.

12. The method of claim 11, wherein the position of the object is displayed before the object is identified.

13. The method of claim 11, comprising:

displaying the recognition result after the object is identified.

14. The method of claim 11, wherein the information on the position of the object in the image includes a visual indicator of the position within at least one part of the image.

15. The method of claim 11, wherein the information on the position of the object in the image includes a frame border that encompasses at least one part of the image.

16. The method of claim 11, wherein the information on the position of the object in the image includes color information based on the likelihood of presence of the object.

17. The method of claim 11, wherein the information on the position of the object in the image includes character string information that indicates the identification of the object is in progress.

18. The method of claim 11, wherein the information on the position of the object in the image includes information on the likelihood of presence of the object.