Learning device, data processing device, parameter generation device, learning method, data processing method, and parameter generation method

A data processing device comprising:

• a generation unit that generates a third parameter by using a learned model generated by a learning device, the third parameter being used for processing of multimedia data of a processing target, the learned model being configured to output the third parameter;
• and
• a processing unit that uses the generated third parameter to process the multimedia data of a processing target,
• the learning device including:
• an evaluation unit that performs quantitative evaluation on a plurality of pieces of multimedia data and thereby acquires a plurality of evaluation results for each of the plurality of pieces of multimedia data;
• a generation unit that selects a second parameter from among a plurality of first parameters having values different from each other on the basis of the plurality of evaluation results and generates a set of teacher data including the selected second parameter;
• and
• a learning unit that performs machine learning using sets of teacher data and thereby generates the learned model.

A parameter generation device comprising:

• an acquisition unit that acquires, from a learning device, a learned model generated by the learning device, the learned model being configure to output a third parameter used for processing of multimedia data of a processing target;
• and
• a generation unit that uses the acquired learned model to generate the third parameter,
• the learning device including:
• an evaluation unit that performs quantitative evaluation on a plurality of pieces of multimedia data and thereby acquires a plurality of evaluation results for each of the plurality of pieces of multimedia data;
• a generation unit that selects a second parameter from among a plurality of first parameters having values different from each other on the basis of the plurality of evaluation results and generates a set of teacher data including the selected second parameter;
• and
• a learning unit that performs machine learning using sets of teacher data and thereby generates the learned model.

A learning method comprising:

• performing quantitative evaluation on a plurality of pieces of multimedia data and thereby acquiring a plurality of evaluation results for each of the plurality of pieces of multimedia data;
• selecting a second parameter from among a plurality of first parameters having values different from each other on the basis of the plurality of evaluation results;
• generating a set of teacher data including the selected second parameter;
• and
• performing machine learning using sets of teacher data and thereby generating a learned model that outputs a third parameter used for processing of multimedia data of a processing target.

A data processing method comprising:

• generating a third parameter by using a learned model generated by a learning device, the third parameter being used for processing of multimedia data of a processing target, the learned model being configured to output the third parameter;
• and
• using the generated third parameter to process the multimedia data of a processing target,
• the learning device including:
• an evaluation unit that performs quantitative evaluation on a plurality of pieces of multimedia data and thereby acquires a plurality of evaluation results for each of the plurality of pieces of multimedia data;
• a generation unit that selects a second parameter from among a plurality of first parameters having values different from each other on the basis of the plurality of evaluation results and generates a set of teacher data including the selected second parameter;
• and
• a learning unit that performs machine learning using sets of teacher data and thereby generates the learned model.

A parameter generation method comprising:

• acquiring, from a learning device, a learned model generated by the learning device, the learned model being configured to output a third parameter used for processing of multimedia data of a processing target;
• and
• using the acquired learned model to generate the third parameter,
• the learning device including:
• an evaluation unit that performs quantitative evaluation on a plurality of pieces of multimedia data and thereby acquires a plurality of evaluation results for each of the plurality of pieces of multimedia data;
• a generation unit that selects a second parameter from among a plurality of first parameters having values different from each other on the basis of the plurality of evaluation results and generates a set of teacher data including the selected second parameter;
• and
• a learning unit that performs machine learning using sets of teacher data and thereby generates the learned model.