Terminal and system for learning artist's style
AssigneePabloarts Company Inc.
InventorJin-a Kim
Life of this patent
Estimating the term…
Abstract
A system for learning an artist's style includes an artist database unit, a pupil gallery unit, an artist image providing unit to display an artist's content selected from the artist database unit, a pupil learning unit in which at least one smart layer and at least one user layer are overlaid and displayed, the at least one smart layer generated based on the elements of art that make up the selected artist's content and the at least one user layer providing an interface for recognizing a user input and supporting the writing or drawing, and a storage unit to store some or all of the at least one user layer as a pupil artwork in a portfolio.
Claims9
A terminal for learning an artist's style, comprising:
- an artist image providing unit to display an artist's content selected from an artist database unit in which at least one content created for each artist is stored;
- a pupil learning unit in which a plurality of smart layers and a plurality of user layers are overlaid and displayed, the plurality of smart layers generated based on different types of elements of art that collectively make up the selected artist's content, the plurality of user layers providing an interface for recognizing a user input and supporting writing or drawing, wherein a first user layer from the plurality of user layers is overlaid on a first smart layer from the plurality of smart layers, and a second smart layer from the plurality of smart layers or a second user layer from the plurality of user layers is overlaid and displayed on the first user layer;
- and
- a display unit to display the selected artist's content in the artist image providing unit on a first split screen, and the pupil learning unit on a second split screen;
- wherein when the pupil learning unit uses the plurality of smart layers including the first smart layer and the second smart layer, each of the first smart layer and the second smart layer among the plurality of smart layers displays a different type of element of art from the plurality of different types of elements of art that make up the selected artist's content, and a first type of element of art from the different types of elements displayed in the first smart layer and a second type of element of art displayed in the second smart layer that is different from the first type of element of art, and the first type of element of art and the second type of element of art each corresponding to one of a point type element, a line type element, a shape type element, a form type element, a color type element, a light type element, a texture type element, or a volume type element, and
- the pupil learning unit is configured to activate the first smart layer and the first user layer and deactivate the second smart layer and the second user layer responsive to a first user request such that the first user layer recognizes a first user input corresponding to the first type of element of art displayed in the first smart layer, and is configured to activate the second smart layer and the second user layer and deactivate the first smart layer and the first user layer responsive to a second user request such that the second user layer recognizes a second user input corresponding to the second type of element of art displayed in the second smart layer.
A method for learning an artist's style, comprising:
- displaying, by an artist image providing unit, an artist's content selected from an artist database unit in which at least one content created for each artist is stored;
- overlaying and displaying, by a pupil learning unit, a plurality of smart layers and a plurality of user layers, the plurality of smart layers generated based on different types of elements of art that collectively make up the selected artist's content, the plurality of user layers providing an interface for recognizing a user input and supporting writing or drawing, wherein a first user layer from the plurality of user layers is overlaid on a first smart layer from the plurality of smart layers, and a second smart layer from the plurality of smart layers or a second user layer from the plurality of user layers is overlaid and displayed on the first user layer;
- displaying, by a display unit, the selected artist's content in the artist image providing unit on a first split screen, and the pupil learning unit on a second split screen, wherein when the pupil learning unit uses the plurality of smart layers including the first smart layer and the second smart layer, each of the first smart layer and the second smart layer among the plurality of smart layers displays a different type of element of art that make up the selected artist's content, and a first type of element of art from the different types of elements displayed in the first smart layer and a second type of element of art displayed in the second smart layer that is different from the first type of element of art, and the first type of element of art and the second type of element of art each corresponding to one of a point type element, a line type element, a shape type element, a form type element, a color type element, a light type element, a texture type element or a volume type element, and the pupil learning unit controls a write or draw interface to be inactivated in part or in whole for the plurality of smart layers, and to be only activated for the user layer,
- activating the first smart layer and the first user layer and deactivating the second smart layer and the second user layer responsive to a first user request such that the first user layer recognizes a first user input corresponding to the first type of element of art displayed in the first smart layer;
- and
- activating the second smart layer and the second user layer and deactivating the first smart layer and first user layer responsive to a second user request such that the second user layer recognizes a second user input corresponding to the second type of element of art displayed in the second smart layer.
Dependencies are inferred from the claim text.