Method executed by electronic device, electronic device, storage medium and program product
AssigneeSamsung Electronics Co., Ltd.
InventorsHanchao JIA, Yingying JIANG, Xiaobing WANG, Peng HAO
Life of this patent
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Abstract
A method executed by an electronic device includes, extracting a first text feature from a first text input by a user, extracting, from a first image input by the user, a first semantic feature of a first region related to the first text; generating a second semantic feature based on the first text feature and the first semantic feature; and obtaining an image from a candidate image set based on the second semantic feature and a first texture feature of the first region.
Claims20
A method executed by an electronic device, comprising:
- extracting a first text feature from a first text input by a user;
- extracting, from a first image input by the user, a first semantic feature of a first region related to the first text;
- generating a second semantic feature based on the first text feature and the first semantic feature;
- and
- obtaining an image from a candidate image set based on the second semantic feature and a first texture feature of the first region.
An electronic device, comprising:
- memory storing instructions;
- and,
- at least one processor,
- wherein the instructions, when executed by the at least one processor, cause the electronic device to:
- extract a first text feature from a first text input by a user;
- extract, from a first image input by the user, a first semantic feature of a first region related to the first text;
- generate a second semantic feature based on the first text feature and the first semantic feature;
- and
- obtaining an image from a candidate image set based on the second semantic feature and a first texture feature of the first region.
A non-transitory computer-readable recording medium having instructions recorded thereon, that, when executed by one or more processors, cause the one or more processors to:
- extract a first text feature from a first text input by a user;
- extract, from a first image input by the user, a first semantic feature of a first region related to the first text;
- generate a second semantic feature based on the first text feature and the first semantic feature;
- and
- obtaining an image from a candidate image set based on the second semantic feature and a first texture feature of the first region.
Dependencies are inferred from the claim text.