Information processing device and information processing method
A purpose of the present invention is to easily select an appropriate processing format, an appropriate parameter, or the like by predicting a process result that varies according to content of data before executing the process. According to the present invention, provided is an information processing device including: a feature amount extraction unit configured to extract a feature amount of data serving as a target of a process; a feature amount matching unit configured to match the feature amount with one or more reference feature amounts associated with a prediction result of the process in a database; and a result prediction unit configured to predict a result obtained in a case where the process is executed for the data, on the basis of a result of the matching.
1. An information processing device comprising:
processing circuitry configured to
receive image data from an image sensor,
extract a feature amount of the image data,
match the feature amount of the image data with one or more reference feature amounts in a database based on a calculated distance between the extracted feature amount and the one or more reference feature amounts, wherein the database is constructed by using machine learning, and
in response to a matching result,
predict a result of a process for the image data, and
determine the process to be executed based on the predicted result.
2. The information processing device according to claim 1 , wherein the processing circuitry is further configured to
determine a setting of the process to be executed.
3. The information processing device according to claim 1 , wherein the setting includes a format of the process or a parameter of the process.
4. The information processing device according to claim 1 , wherein the processing circuitry is further configured to
determine whether or not to execute the process.
5. The information processing device according to claim 1 , wherein the predicted result is quantitative information or qualitative information.
6. The information processing device according to claim 1 , wherein the predicted result is information indicating that the process is not suitable for the extracted feature amount.
7. The information processing device according to claim 1 , wherein the processing circuitry is further configured to
update the database based on the matching result.
8. The information processing device according to claim 7 , wherein the processing circuitry is further configured to
update the database on the basis of a relation between the extracted the feature amount and the one or more reference feature amounts.
9. The information processing device according to claim 1 , wherein the processing circuitry is further configured to
update, if the matching result is a failure, the database by registering the extracted feature amount as a new reference feature amount.
10. The information processing device according to claim 1 , wherein the processing circuitry is further configured to
execute the determined process regardless of the extracted feature amount if the matching result is a failure.
11. A method comprising:
receiving image data from an image sensor;
extracting a feature amount of the image data;
matching the feature amount of the image data with one or more reference feature amounts in a database based on a calculated distance between the extracted feature amount and the one or more reference feature amounts, wherein the database is constructed by using machine learning; and
in response to a matching result,
predict a result of a process for the image data, and
determine the process to be executed based on the predicted result.
12. A non-transitory computer-readable storage medium storing executable instructions, which when executed by processing circuitry cause the processing circuitry to execute a method, the method comprising:
receiving image data from an image sensor;
extracting a feature amount of the image data;
matching the feature amount of the image data with one or more reference feature amounts in a database based on a calculated distance between the extracted feature amount and the one or more reference feature amounts, wherein the database is constructed by using machine learning; and
in response to a matching result,
predict a result of a process for the image data, and
determine the process to be executed based on the predicted result.
13. The non-transitory computer-readable storage medium of claim 12 , wherein the method further comprises:
determining a setting of the process to be executed.
14. The non-transitory computer-readable storage medium of claim 12 , wherein the setting includes a format of the process or a parameter of the process.
15. The non-transitory computer-readable storage medium of claim 12 , wherein the method further comprises:
determining whether or not to execute the process.
16. The non-transitory computer-readable storage medium of claim 12 , wherein the predicted result is quantitative information or qualitative information.
17. The non-transitory computer-readable storage medium of claim 12 , wherein the predicted result is information indicating that the process is not suitable for the extracted feature amount.
18. The non-transitory computer-readable storage medium of claim 12 , wherein the method further comprises:
updating the database based on the matching result.
19. The non-transitory computer-readable storage medium of claim 18 , wherein the method further comprises:
updating the database on the basis of a relation between the extracted the feature amount and the one or more reference feature amounts.
20. The non-transitory computer-readable storage medium of claim 12 , wherein the method further comprises:
updating, if the matching result is a failure, the database by registering the extracted feature amount as a new reference feature amount.
21. The non-transitory computer-readable storage medium of claim 12 , wherein the method further comprises:
executing the determined process regardless of the extracted feature amount if the matching result is a failure.