Image extraction device, image extraction method, program, and recording medium
AssigneeFUJIFILM Corporation
InventorsKei Yamaji, Junichi Asada
Life of this patent
Estimating the term…
Abstract
In the image extraction device, an instruction acquisition unit acquires an instruction input by a user, and an image group selection unit selects a second image group, which has a smaller number of images than a first image group, from the first image group in response to the instruction. Then, an extraction reference determination unit determines an image extraction reference when extracting an image from the second image group based on images included in the first image group, and an image extraction unit extracts one or more images, the number of which is smaller than the number of images in the second image group, from the second image group according to the image extraction reference.
Claims23
An image extraction device, comprising:
- an instruction acquisition unit that acquires an instruction input by a user;
- an image group selection unit that selects a second image group, which has a smaller number of images than a first image group, from the first image group in response to the instruction;
- an extraction reference determination unit that determines an image extraction reference when extracting an image from the second image group based on images included in the first image group;
- an image extraction unit that extracts one or more images, the number of which is smaller than the number of images in the second image group, from the second image group according to the image extraction reference;
- and
- an image analysis unit that analyzes images included in the first image group and calculates a relationship between persons present in the images included in the first image group based on the analysis result;
- the image analysis unit comprising:
- an image information acquisition section that acquires image information regarding images included in the first image group;
- an image feature analysis section that analyzes features of the images included in the first image group based on the image information;
- and
- a relationship calculation section that calculates a relationship between persons present in the images included in the first image group based on the image information and the image feature, wherein
- the extraction reference determination unit determines the image extraction reference according to the relationship between persons,
- the relationship calculation section determines a degree of importance of each person from the relationship between persons,
- the extraction reference determination unit determines the image extraction reference according to the degree of importance of each person,
- the relationship calculation section determines one or more persons whose number of times of appearance is equal to or greater than a threshold value in the first image group, among persons present in the images included in the first image group, as main persons, and determines one or more persons who are present in the images included in the first image group and whose distances from the main persons are equal to or less than a threshold value, among persons other than the main persons who are present in the images included in the first image group, as important persons, and
- the extraction reference determination unit determines the image extraction reference according to the main persons and the important persons.
An image extraction method, comprising:
- a step in which an instruction acquisition unit acquires an instruction input by a user;
- a step in which an image group selection unit selects a second image group, which has a smaller number of images than a first image group, from the first image group in response to the instruction;
- a step in which an extraction reference determination unit determines an image extraction reference when extracting an image from the second image group based on images included in the first image group;
- a step in which an image extraction unit extracts one or more images, the number of which is smaller than the number of images in the second image group, from the second image group according to the image extraction reference;
- and
- a step in which an image analysis unit analyzes images included in the first image group and calculates a relationship between persons present in the images included in the first image group based on the analysis result;
- the step in which the image analysis unit calculates the relationship between persons including:
- a step in which an image information acquisition section acquires image information regarding images included in the first image group;
- a step in which an image feature analysis section analyzes features of the images included in the first image group based on the image information;
- and
- a step in which a relationship calculation section calculates a relationship between persons present in the images included in the first image group based on the image information and the image features, wherein
- the extraction reference determination unit determines the image extraction reference according to the relationship between persons,
- the relationship calculation section determines a degree of importance of each person from the relationship between persons,
- the extraction reference determination unit determines the image extraction reference according to the degree of importance of each person,
- the relationship calculation section determines one or more persons whose number of times of appearance is equal to or greater than a threshold value in the first image group, among persons present in the images included in the first image group, as main persons, and determines one or more persons who are present in the images included in the first image group and whose distances from the main persons are equal to or less than a threshold value, among persons other than the main persons who are present in the images included in the first image group, as important persons, and
- the extraction reference determination unit determines the image extraction reference according to the main persons and the important persons.
An image extraction device, comprising:
- a processor configured to:
- acquire an instruction input by a user,
- select a second image group, which has a smaller number of images than a first image group, from the first image group in response to the instruction,
- determine an image extraction reference when extracting an image from the second image group based on images included in the first image group,
- extract one or more images, the number of which is smaller than the number of images in the second image group, from the second image group according to the image extraction reference,
- analyze images included in the first image group and calculates a relationship between persons present in the images included in the first image group based on the analysis result,
- wherein the processor:
- determines the image extraction reference according to the relationship between persons,
- acquires image information regarding images included in the first image group;
- analyzes features of the images included in the first image group based on the image information, and
- calculates a relationship between persons present in the images included in the first image group based on the image information and the image features,
- wherein the processor further determines a degree of importance of each person from the relationship between persons, and determines the image extraction reference according to the degree of importance of each person, and
- wherein the processor even further determines one or more persons whose number of times of appearance is equal to or greater than a threshold value in the first image group, among persons present in the images included in the first image group, as main persons, and determines one or more persons who are present in the images included in the first image group and whose distances from the main persons are equal to or less than a threshold value, among persons other than the main persons who are present in the images included in the first image group, as important persons, and the processor determines the image extraction reference according to the main persons and the important persons.
Dependencies are inferred from the claim text.