JP2022075326A5 - - Google Patents
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- JP2022075326A5 JP2022075326A5 JP2020186044A JP2020186044A JP2022075326A5 JP 2022075326 A5 JP2022075326 A5 JP 2022075326A5 JP 2020186044 A JP2020186044 A JP 2020186044A JP 2020186044 A JP2020186044 A JP 2020186044A JP 2022075326 A5 JP2022075326 A5 JP 2022075326A5
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- key image
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- additional element
- image
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Claims (10)
前記プログラムは、前記コンピュータに、
第1コンテンツに関連するキー画像、前記キー画像に付加する付加要素、及び前記キー画像の加工に関する加工条件のうちの少なくとも1以上を取得するステップと、
機械学習モデルを用いて、前記キー画像に前記付加要素を付加すること及び前記キー画像を前記加工条件に従って加工することのうちの少なくとも一方を実行することで得られるサムネイル画像を出力するステップと、
を実行させるプログラム。 A program executed on a computer ,
The program causes the computer to
acquiring at least one of a key image related to the first content, an additional element to be added to the key image, and processing conditions for processing the key image;
outputting a thumbnail image obtained by performing at least one of adding the additional element to the key image and processing the key image according to the processing conditions using a machine learning model; and,
A program to run.
前記出力するステップは、複数のサムネイル画像を出力するステップであり、
前記プログラムは、前記コンピュータに、さらに、
ユーザの選択操作に応じて、前記複数のサムネイル画像のうち1以上のサムネイル画像を選択するステップと、
前記取得するステップにおいて取得された前記キー画像ならびに前記付加要素及び/又は前記加工条件と、前記選択するステップにおいて選択された前記サムネイル画像とに基づいて、前記機械学習モデルのパラメータを更新するステップと、を実行させる、
請求項1に記載のプログラム。 The machine learning model inputs a key image related to a predetermined content, a predetermined additional element, and a predetermined processing condition, or the key image, the predetermined additional element, and the predetermined processing condition, and processes the key image. Learning is performed using training data whose output is a predetermined thumbnail image obtained by performing at least one of adding the additional element and processing the key image according to the processing conditions. can be,
The step of outputting is a step of outputting a plurality of thumbnail images,
The program further comprises:
selecting one or more thumbnail images from the plurality of thumbnail images in accordance with a user's selection operation;
updating the parameters of the machine learning model based on the key image, the additional element and/or the processing condition acquired in the acquiring step, and the thumbnail image selected in the selecting step; , cause
The program according to claim 1.
請求項1又は請求項2に記載のプログラム。 The additional elements acquired in the acquiring step include one or more of a logo image and text data related to the first content.
The program according to claim 1 or claim 2.
前記取得するステップにおいて取得される前記加工条件として、前記キー画像における前記付加要素の付加位置に関する条件、及び前記付加要素の配色に関する条件のうちの1以上が含まれる、
請求項1から請求項3のいずれか一項に記載のプログラム。 The acquiring step is a step of acquiring the key image, the additional element, and the processing condition,
The processing conditions acquired in the acquiring step include one or more of conditions regarding the addition position of the additional element in the key image and conditions regarding the color scheme of the additional element.
The program according to any one of claims 1 to 3.
前記付加要素の配色が、前記キー画像における前記付加要素の付加位置の周囲の色と、前記第1配色条件とに基づいて決定される、
請求項4に記載のプログラム。 The conditions regarding the color scheme include a first color scheme condition that specifies whether or not a combination of colors is possible;
The color scheme of the additional element is determined based on the color around the addition position of the additional element in the key image and the first color scheme condition.
The program according to claim 4.
前記付加要素の配色が、前記第1コンテンツの種類に応じた1以上の前記候補色の中から決定される、
請求項4又は請求項5に記載のプログラム。 The conditions regarding the color scheme include a second color scheme condition that defines one or more candidate colors according to the type of the first content,
the color scheme of the additional element is determined from among the one or more candidate colors according to the type of the first content;
The program according to claim 4 or claim 5.
請求項1から請求項6のいずれか一項に記載のプログラム。 The processing conditions obtained in the obtaining step include conditions regarding the image size after processing.
The program according to any one of claims 1 to 6.
請求項7に記載のプログラム。 The outputting step includes performing any one or more of resizing and trimming the key image, and pasting the key image onto a predetermined image having a size that satisfies the image size condition so as to satisfy the image size condition. including doing;
The program according to claim 7.
前記情報処理方法は、前記コンピュータに、
第1コンテンツに関連するキー画像と、前記キー画像に付加する付加要素及び/又は前記キー画像の加工に関する加工条件とを取得するステップと、
機械学習モデルを用いて、前記キー画像に前記付加要素を付加する及び/又は前記キー画像を前記加工条件に従って加工することで得られるサムネイル画像を出力するステップと、
を実行させることを含む、情報処理方法。 An information processing method executed on a computer , the method comprising:
The information processing method includes :
acquiring a key image related to the first content, additional elements to be added to the key image, and/or processing conditions regarding processing of the key image;
outputting a thumbnail image obtained by adding the additional element to the key image and/or processing the key image according to the processing conditions using a machine learning model;
An information processing method that includes executing.
前記機会学習モデル生成方法は、前記コンピュータに、
所定のコンテンツに関連するキー画像と所定の付加要素及び/又は所定の加工条件とを入力とし、該キー画像に該付加要素を付加する及び/又は該キー画像を該加工条件に従って加工することで得られた所定のサムネイル画像を出力とした教師データを用いて機械学習モデルを生成するステップ
を実行させることを含む、機会学習モデル生成方法。 A machine learning model generation method executed on a computer , the method comprising:
The machine learning model generation method includes :
By inputting a key image related to a predetermined content, a predetermined additional element, and/or a predetermined processing condition, and adding the additional element to the key image and/or processing the key image according to the processing condition. A method for generating a machine learning model, the method comprising: generating a machine learning model using training data outputted from the obtained predetermined thumbnail image.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2020186044A JP2022075326A (en) | 2020-11-06 | 2020-11-06 | Program, information processing method, information processing device, and opportunity learning model generation method |
Applications Claiming Priority (1)
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JP2020186044A JP2022075326A (en) | 2020-11-06 | 2020-11-06 | Program, information processing method, information processing device, and opportunity learning model generation method |
Publications (2)
Publication Number | Publication Date |
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JP2022075326A JP2022075326A (en) | 2022-05-18 |
JP2022075326A5 true JP2022075326A5 (en) | 2023-11-14 |
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Family Applications (1)
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JP2020186044A Pending JP2022075326A (en) | 2020-11-06 | 2020-11-06 | Program, information processing method, information processing device, and opportunity learning model generation method |
Country Status (1)
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JP (1) | JP2022075326A (en) |
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2020
- 2020-11-06 JP JP2020186044A patent/JP2022075326A/en active Pending
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