Rakuten, Inc.

Naoki Chiba

Xinhao Liu

Ryota Hinami

Xingji Zeng

Shin'ichi Satoh

An image processing device is configured to: acquire a first image photographed from a first position; acquire a second image photographed from a second position; identify an edit target area where a first shadow or a first shielding object is shown in the first image; decrease a resolution of the second image so as to match with a photographed object shown in the first image, and identifying a photographed part area where a second shadowed part or a second shielded part is shown in a low-resolution second image; identify a similar area in at least one of the first image and the second image, the similar area being similar to the photographed part area; and edit the edit target area in the first image, based on the similar area.

Image processing device, image processing method, and program

An image provision device () displays on a field-of-vision covering display () an image obtained by trimming all-surroundings image data (). A detector () detects an orientation or a change in the orientation of a user's head or sight line by means of a sensor (). A direction setter () sets an eye direction to the all-surroundings image data () in accordance with the detected orientation or change in the orientation. An extractor () obtains a zoomed image by trimming and zooming part of the all-surroundings image with a zoom factor that depends on an angle formed between the set eye direction and a predetermined direction in the all-surroundings image data (). A displayer () displays the obtained zoomed image on a display ().

Image provision device, method and program that adjusts eye settings based on user orientation

A character recognition device includes an acquisition means configured to acquire an image containing a character region, a first recognition means configured to recognize a character from the character region by a first recognition method, a setting means configured to set reference lines along an alignment direction of the characters and passing through a specified position in each character, a second recognition means configured to recognize a character by a second recognition method, the second recognition method being a method that recognizes a character from an image within a recognition window by scanning in a recognition target region in an image while changing a size of the recognition window, and configured to set a position or a height in a vertical direction of the recognition window based on the reference lines, and an output means configured to output a word composed of characters recognized by the second recognition means.

Character recognition device, character recognition method, and character recognition program

A determination unit determines, based on a character string contained in an image and a determination condition stored in a storage unit, whether or not it is appropriate to have a viewer to view the image according to a setting in which the information indicated by the character string is not changed or deleted. When the determination unit determines that it is not appropriate to have the viewer to view the image according to the setting in which the information indicated by the character string is not changed or deleted, a processing executing unit executes processing necessary for having the viewer to view the image according to a setting in which the information indicated by the character string is changed or deleted.

Information processing system, method for controlling information processing system, information processing device, program, and information storage medium

A reference line setting device includes an image acquisition means to acquire an image containing a character region, a recognition means to recognize characters from the character region of the image by a specified recognition method, a line position information acquisition means to acquire line position information of a plurality of characters out of the characters recognized by the recognition means with reference to a storage means storing, for each character, line position information concerning a position which at least two reference lines pass through in a vertical direction of characters, the reference lines being lines drawn in an alignment direction of characters, along which a certain part of each character is to be placed, and a setting means to set each of the reference lines to the image based on a plurality of line position information for each reference line acquired by the line position information acquisition means.

Reference line setting device, reference line setting method and reference line setting program

An image processing device according to one embodiment includes a calculation unit and a setting unit. The calculation unit calculates a degree of complexity indicating a degree of positional dispersion of edges in a target region where a text region is to be extracted. The setting unit sets an edge threshold for detecting the text region to low as the degree of complexity is low.

Image processing device, image processing method, and image processing program

An image processing device according to one embodiment includes an acquisition unit, a first specifying unit, and a second specifying unit. The acquisition unit acquires an edge between a text region where the translucent text is superimposed and a background region where the translucent text is not superimposed. The first specifying unit acquires a plurality of pairs of a representative color in the text region and a representative color in the background region adjacent to each other with the edge placed therebetween, and specifies a text color and transparency of the translucent text from the plurality of pairs. The second specifying unit specifies a pixel color before the translucent text is superimposed for each pixel in the text region from a pixel color after the translucent text is superimposed, the text color and the transparency.

An image processing system according to one embodiment includes a feature quantity calculation unit, a classification unit, a score calculation unit, and an output unit. The feature quantity calculation unit calculates a feature quantity for each of a plurality of candidate regions extracted as a candidate for a text region from a plurality of original sample images. The plurality of original sample images include one or more text images containing a text region and one or more non-text images not containing a text region. The classification unit classifies the plurality of candidate regions into a plurality of categories based on the feature quantity. The score calculation unit calculates, for each category, a score indicating a frequency of appearance of the candidate region to which an annotation indicating extraction from the text image is added. The output unit outputs the score of each category as category information.

Image processing system, image processing method, and image processing program

An image processing apparatus according to one embodiment includes a first extraction unit, a second extraction unit, and a specifying unit. The first extraction unit performs stroke width transform on an image and thereby extracts a SWT region from the image. The second extraction unit performs clustering based on pixel values on the image and thereby extracts a single-color region from the image. The specifying unit specifies a pixel group included in a candidate text region based at least on the single-color region when a ratio of the number of pixels in an overlap part between the SWT region and the single-color region to the number of pixels in the single-color region is equal to or more than a first reference value, or more than the first reference value.

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Tokyo, Japan

Naoki Chiba