JP5127554B2 - Keyword setting method, program and apparatus - Google Patents

Description

  The present invention relates to the setting of various keywords such as messages, comments, and titles corresponding to image printing.

  Patent Document 1 discloses an image analysis apparatus that analyzes an image and automatically determines words related to the image.

In Patent Document 2, a standard message suitable for a template is displayed, and character synthesis of the selected message is performed.
JP 2007-94679 A JP 2001-78011 A

  Generally, a software keyboard displayed on a display is used for character input in a print order receiving machine installed at a photo shop. Character input on the software keyboard is inefficient, so-called “index finger touch”, where you press the key corresponding to the character one by one with your index finger or move the mouse pointer for each character and click This is inconvenient for inputting a large number of characters and Japanese characters that require kanji conversion.

  In order to eliminate such inconvenience, it is conceivable to provide a key corresponding to the fixed phrase on the software keyboard. In this case, however, only a pre-registered message can be input. You have to enter each one.

  An object of the present invention is to set an optimum keyword according to the contents of an image so that characters or character strings can be input quickly and easily.

  The keyword setting method according to the present invention includes a step of acquiring a keyword related to one or more first images, a shooting date and time of one or more second images excluding the first image and the first image, and The step of acquiring the shooting position, the step of comparing the shooting date and / or shooting position of the first image and the second image, and the keyword extracted from the first image according to the comparison result And setting a keyword when inputting information corresponding to the second image.

  According to the present invention, even when a keyword cannot be acquired from the image itself, a keyword acquired from another related image can be used as the keyword of the image.

  The keyword setting method according to the present invention includes a step of setting a trimming range of an image, a step of acquiring a first keyword corresponding to a subject within the trimming range and a second keyword corresponding to a subject outside the trimming range, Setting the first keyword as a keyword when inputting information corresponding to the image with priority over the second keyword.

  According to the present invention, it is possible to set an appropriate keyword according to the trimming range of the image.

  The keyword setting method according to the present invention includes a step of acquiring a keyword related to a plurality of images, a step of specifying a common keyword in keywords related to a plurality of images, and a unit for arranging a plurality of images with a common keyword And a step of setting a keyword when inputting information corresponding to.

  According to the present invention, a frequently used keyword common to each image can be set as a keyword when inputting information corresponding to a unit for arranging each image.

  The keyword setting method according to the present invention includes a step of acquiring a keyword related to the first image and the second image, a step of comparing the sizes of the first image and the second image, and a result of the comparison Setting a keyword related to the first image or a keyword related to the second image as a keyword when inputting information corresponding to a unit in which the first image and the second image are arranged.

  According to the present invention, it is possible to set an appropriate keyword corresponding to an image arrangement unit (single page, spread page, album) according to the size of the image.

  The keyword setting method according to the present invention includes a step of acquiring a first keyword related to one or more first images and a second keyword related to one or more second images excluding the first image. If the second keyword is the same as the first keyword that is information input corresponding to the first image, the second keyword is the highest priority when inputting information corresponding to the second image. And setting to keywords other than.

  According to the present invention, a keyword that has already been used for another image is set as a low-priority keyword corresponding to another image, so that it is possible to prevent waste of prioritizing a keyword that is unlikely to be used.

  The keyword setting method according to the present invention includes a step of acquiring a keyword related to one or a plurality of images, a step of receiving input of information corresponding to a unit in which the image is arranged, and a keyword related to the image arranges the image. And setting the keyword related to the image to a keyword other than the highest rank when inputting the information corresponding to the image when the information is the same as the information input corresponding to the unit.

  According to the present invention, a keyword that has already been used for an image arrangement unit (such as a page) is set as a priority keyword, so that it is possible to prevent waste of prioritizing a keyword that is unlikely to be used.

  Preferably, the method further includes a step of defining a unit as an information input target.

  Preferably, the unit for which information is input includes at least one of an image, a single page, a spread page, and an album.

  A program for causing a computer to execute the keyword setting method is also included in the present invention.

  The keyword setting device according to the present invention includes a means for acquiring a keyword related to one or more first images, the shooting date and time of one or more second images excluding the first image and the first image, and And / or a means for acquiring a photographing position, a means for comparing photographing dates and times and / or photographing positions of the first image and the second image, and a keyword extracted from the first image according to the comparison result. Means for setting a keyword when inputting information corresponding to the second image.

  The keyword setting device according to the present invention includes a means for setting a trimming range of an image, a first keyword corresponding to a subject within the trimming range, and a second keyword corresponding to a subject outside the trimming range; Means for setting the first keyword as a keyword when inputting information corresponding to an image with priority over the second keyword.

  The keyword setting device according to the present invention includes a means for acquiring a keyword related to a plurality of images, a means for specifying a common keyword in keywords related to a plurality of images, and a unit for arranging a plurality of images with a common keyword And means for setting a keyword when inputting information corresponding to.

  The keyword setting device according to the present invention includes a means for acquiring a keyword related to the first image and the second image, a means for comparing the sizes of the first image and the second image, and depending on the comparison result Means for setting a keyword related to the first image or a keyword related to the second image as a keyword when inputting information corresponding to a unit for arranging the first image and the second image.

  The keyword setting device according to the present invention acquires a first keyword related to one or more first images and a second keyword related to one or more second images excluding the first image. If the second keyword is the same as the first keyword that is information input corresponding to the first image, the second keyword is the highest priority when inputting information corresponding to the second image. Means for setting a keyword other than.

  The keyword setting device according to the present invention includes a means for acquiring a keyword related to one or a plurality of images, a means for receiving input of information corresponding to a unit for arranging the images, and a keyword related to the images arranges the images. And means for setting a keyword related to the image to a keyword other than the highest rank when inputting information corresponding to the unit in which the image is arranged when the information is the same as the information input corresponding to the unit.

  According to the present invention, even when a keyword cannot be acquired from the image itself, a keyword acquired from another related image can be used as the keyword of the image.

  Further, according to the present invention, it is possible to set an appropriate keyword according to the image trimming range.

  In addition, according to the present invention, a frequently used keyword common to each image can be set as a keyword when inputting information corresponding to a unit for arranging each image.

  Further, according to the present invention, it is possible to set an appropriate keyword corresponding to an image arrangement unit (single page, spread page, album) according to the size of the image.

  In addition, according to the present invention, it is possible to prevent use of a keyword that is unlikely to be used by prioritizing a keyword that is already used for another image as a low-priority keyword corresponding to another image.

  In addition, according to the present invention, it is possible to prevent a keyword having a low possibility of being used from being given priority by setting a keyword already used in an image arrangement unit (such as a page) as a low priority keyword.

  FIG. 1 is a block diagram showing a schematic configuration of an image print creation apparatus 10 to which the present invention is applied. The image print creating apparatus 10 reads, for example, moving image data and still image data (including still images obtained by capturing moving images) stored in various recording media 40 such as a CD and a DVD, a memory card 42, and the like. As an image print (data for displaying an image on a display device with a predetermined layout and design, or a print medium such as paper on which an image is printed with a predetermined layout and design). The image print creation apparatus 10 is operated by an operation unit 26 including a pointing device capable of instructing movement of a pointer (cursor) such as a mouse, a touch pad, and a trackball, and various operation devices such as a touch panel. The touch panel is stacked on the display 50, and by pressing a button display part of the display 50, it is possible to input characters corresponding to the part or activate various functions.

  The image print creating apparatus 10 includes a CPU 12 that controls the entire image print creating apparatus 10, a drive 11 that reads / writes data from / to the recording medium 40, a card slot 16 that reads / writes data from / to the memory card 42, and the image print creating apparatus 10. A hard disk drive (storage medium) 18 (hereinafter referred to as HDD 18) in which programs to be controlled, moving images and still images are stored, a RAM 20 that functions as a working memory when the CPU 12 performs various processes, a RAM 20 and the like A list of stored images and other graphical user interfaces related to image editing, and a video signal of a pointer moving on the window in accordance with an input operation including an instruction of a moving direction and a moving speed from the operation unit 26 are output to the display 50. Video display It comprises a coder 22, a communication I / F 28 for connecting to various electronic devices such as the Internet and other networks and the digital camera 15, and a data recording unit (operation history recording means) 30 each responsible for specialized processing. Yes. These units are connected to each other via a bus 36, and the CPU 12 controls the respective units of the apparatus according to an operation program stored in the HDD 18.

  The image print creating apparatus 10 is connected to a printer 44 that prints a designated still image on a mount made of a paper medium such as plain paper or photographic paper in a predetermined arrangement via a printer driver 38. Yes. Alternatively, still images arranged in a predetermined arrangement can be output as electronic media such as “PDF” of Adobe Systems Inc. to a display 50, a recording medium 40, a personal computer connected via the Internet, and the like. In short, the output destination of the created image print is not limited to a specific one such as the display 50, the recording medium 40, the printer 44, and the Internet. In the following, for the sake of simplicity, the output destination of the image print is the display 50, but it is assumed that other output is possible. Further, in this specification, an electronic medium creation form in which a desired image can be arranged at a desired position is also called a mount.

  The card slot 16 detachably holds, for example, a memory card 42 such as a compact flash (registered trademark), an SD card, and smart media, and reads or writes still image data recorded on the memory card 42. Thereby, still image data captured by a digital still camera or the like can be read. In addition to the multi-drive 11 and the card slot 16, for example, a communication port such as USB or IEEE1394 may be provided so that direct communication with an electronic device such as a digital still camera or a PDA can be performed.

  In addition to one or a plurality of still image data as image print materials, the HDD 18 stores decoration image data combined with these still image data when an image print is generated. The decorative image includes character data that constitutes characters (kanji, katakana, hiragana, alphabets, symbols, pictograms, and other meaningful readable codes or combinations thereof, and the like), and text that includes the characters. These are graphic data of objects suitable for placing boxes, balloons, bills, bulletin boards and other characters, mask images covering unnecessary portions of the target image, and illustrations. These decorative images add color to the image print, such as decorating the background of the still image as the material or adding a one-point decoration. In the following, for simplicity of explanation, the graphic data is assumed to be a character or a text box, but may naturally be other than that.

  Each still image data is stored in the HDD 18 in the form of an image file such as JPEG, TIFF, or EXIF standardized for a digital still camera. These image files are provided with a data area for storing still image data and a tag area for storing metadata (typically EXIF tag information) indicating the contents of the data. Hereinafter, still image data is simply referred to as “image”.

  The moving image data corresponds to a compression recording standard such as motion JPEG or MPEG4.

  The communication I / F 28 connects the image print creation apparatus 10 to the Internet, displays a home page on the Internet on the display 50, and transmits and receives image data via electronic mail (hereinafter referred to as mail). The communication I / F 28 is a broadband compatible modem or the like. The communication I / F 28 may be connected to the Internet via an optical communication network or a cable network. Note that the data for outputting the image print generated by the image print generation unit 34 can be distributed to a specific terminal via the Internet. The distribution-side terminal can output the image print to a monitor or printer and use it freely. The communication I / F 28 can be used not only as a network adapter but also as a general-purpose interface for connecting peripheral devices such as USB.

  The data recording unit 30 and the image print generating unit 34 are so-called coprocessors, and each assists the processing operation of the CPU 12 by taking charge of specialized processing. The data recording unit 30 records history information of operation input to the operation unit 26 such as a staying area, staying position coordinates, staying time of a pointer, time and number of input operations, and the like.

  When the image print creation apparatus 10 is a storefront print terminal, the image print created by the image print generation unit 34 is output to the display 50 and displayed as a preview. If the content is confirmed, the printer 44 is set according to a user instruction. Can be output to a print medium, or the image print such as a DVD can be transferred to a recording medium 40 that can be recorded as video data. Alternatively, the completed image print may be displayed as one of the image print display functions of various electronic devices such as a mobile phone and a digital camera without being premised on outputting to a recording medium or a print medium.

  Note that the system configuration in FIG. 1 is an example, and the present invention can be implemented as long as it is another electronic device (for example, a PDA) having the same configuration. Further, the individual blocks shown in the figure are not necessarily configured integrally with one electronic device, and each block is a part of the configuration of another electronic device, and they are connected by some communication means such as a network. As long as information transmission / reception between the electronic devices is ensured, the present invention can be implemented and is not performed depending on a specific device configuration.

  Hereinafter, an input operation necessary for creating an image print and a transition of a screen displayed during the input operation will be described with reference to FIG. This screen is displayed on the display 50, and the display control is performed by the image print generation unit 34 (or the CPU 12).

  In S1, a service type selection screen (not shown) is displayed, and among the images acquired from the outside, the type of service (shuffle print, calendar, photo book, etc.) to be received and the image to be used for creating the image print are displayed from the operation unit 26. Let them choose. A “next” button is provided on the service type selection screen, and when this is touch-selected, the process proceeds to S2.

  In S2, a template selection screen (not shown) is displayed, and a template for arranging images is selected. For example, if shuffle print is selected as the service type, the template is a postcard, A4, a four-cut wide size, or the like. If a photo book is selected for the service type, the template is a cover design (white, black, ivory, check, etc.), an image composition (vertical and horizontal), and the like. Alternatively, if a calendar is selected as the service type, the template is a wall hanging, a desktop, an A4 sheet, or the like. In the following, for the sake of simplicity, it is assumed that a shuffle print template is selected. However, the software keyboard displayed on the input screen for characters to be placed on the print is the same regardless of the service type selected. It shall be. A “next” button is provided on the template selection screen, and when this is touch-selected, the process proceeds to S3.

  In S3, an image to be enlarged is selected from the images selected in S1.

  In S4, an unnecessary image is selected. An image selected as an unnecessary image is excluded from the material of the image print. However, an image selected as an unnecessary image can be selected again as a material image later.

  In S5, a layout check screen is displayed, and an image print is previewed therein. The layout check screen is provided with a “red-eye manual correction” button, a “color manual correction” button, and a “next” button. When the “red-eye manual correction” button is selected, S6, “color manual correction” is selected. If the button is selected, the process proceeds to S7, and if the “next” button is selected, the process proceeds to S8.

  In S6, a red-eye correction screen is displayed, and red-eye reduction processing is performed on the image selected in response to selection of the “correction” button.

  In S7, a color correction screen is displayed, and color feature quantities such as contrast, brightness, and intensity of each RGB color are moved according to the operation of the operation unit 26 and the level gauge knob is moved according to the operation. Change the color feature of the image.

  In S8, a title edit screen is displayed. This screen is provided with a “character input” button, a “font selection” button, and a “character adjustment” button. When the “character input” button is selected, S9, the “font selection” button is selected. If the “character adjustment” button is selected, the process proceeds to S14. If the “next” button is selected, the process proceeds to S15.

  In S9, the hiragana input screen which is the top screen of the character input screen is displayed. This screen has 50 sound buttons, hiragana buttons, symbol buttons, conversion buttons, input buttons, input candidate buttons, text boxes, katakana input tabs and alphanumeric symbol input tabs corresponding to hiragana. By pressing the sound button or the stuttering button, characters can be input into the text box using hiragana. In addition, by pressing the symbol button, punctuation marks, dakuten and semi-dakuten can be input. A fixed character string is assigned to the input candidate button, and when this is pressed, the assigned character string is directly input to the text box. A plurality of input candidate buttons can be provided, and when there are a plurality of input candidate buttons, each is assigned a priority. Here, priorities are given in the order of input candidate 1, input candidate 2,. By pressing the left and right cursor keys, the input candidates can be selected in descending order of priority, and the input candidates selected by pressing the “input button” enter the text box. That is, input candidates with high priority can be selected quickly. Here, the input candidates are arranged side by side, but may be arranged vertically. Further, all the input candidates may not be arranged on one screen at a time, and may be sequentially displayed one by one from an input candidate with a higher priority to an input candidate with a lower priority in response to pressing of the cursor key.

  If the katakana input tab is selected, the process proceeds to S10. If the alphanumeric symbol input tab is selected, the process proceeds to S11. When the conversion button is pressed, the process proceeds to S12. When the input button is pressed, the character string input in the text box is determined as the title for the image. Then, the process returns to S8.

  In S10, a katakana input screen is displayed. This screen is provided with 50-sound buttons corresponding to Katakana, stuttering buttons, symbol buttons, conversion buttons, input buttons, input candidate buttons, text boxes, hiragana input tabs, alphanumeric symbol input tabs, 50 for each. By pressing the sound button or the roar button, you can enter characters in the text box using katakana. In addition, by pressing the symbol button, punctuation marks, dakuten and semi-dakuten can be input. A fixed character string is assigned to the input candidate button, and when this is pressed, the assigned character string is directly input to the text box. The function of the input candidate button is the same as described above. However, what kind of character string is assigned is arbitrary, and the assigned character string may be different from the case of hiragana.

  If the alphanumeric symbol input tab is selected, the process proceeds to S11. If the hiragana input tab is selected, the process returns to S9. When the conversion button is pressed, the process proceeds to S12. When the input button is pressed, the character string input in the text box is determined as the title for the image. Then, the process returns to S8.

  In S11, an alphanumeric symbol input screen is displayed. This screen has alphabet buttons, symbol buttons, conversion buttons, input buttons, input candidate buttons, text boxes, hiragana input tabs, and katakana input tabs. By pressing each alphabet button, the text box is displayed. It is possible to input characters using the alphabet. Moreover, a period, a comma, an at sign, etc. can be input by pressing the symbol button. A fixed character string is assigned to the input candidate button, and when this is pressed, the assigned character string is directly input to the text box.

  If the hiragana input tab is selected, the process returns to S9. If the katakana input tab is selected, the process returns to S11. Then, the process returns to S8. When the conversion button is pressed, the process proceeds to S12. When the input button is pressed, the character string input in the text box is determined as the title for the image.

 In S12, a conversion candidate selection screen is displayed, and kanji, hiragana, katakana, and alphanumeric character conversion candidates corresponding to the character string input in the text box on the hiragana input screen, katakana input screen, or alphanumeric input screen are displayed. . For example, if the conversion button is pressed while the character string “Tokyo” is entered on the hiragana input screen or “Tokyo” on the katakana input screen, “Tokyo”, “Tokyo”, “Today”, etc. Display conversion candidates. Alternatively, if “Tokyo Metropolitan” is entered on the alphanumeric input screen, conversion candidates such as “Tokyo” are displayed. When a desired one of the conversion candidates is selected, the selected conversion candidate is input to a text box on the hiragana input screen, katakana input screen, or alphanumeric input screen.

  In S13, font candidates indicating the determined titles in different fonts are displayed, and a title of a desired font is selected from them. If the “select” button is pressed on this screen, the selected font candidate is confirmed as the final title font, and the process returns to S8.

  In S14, the character adjustment screen is displayed, and the title character color, italic / bold, size, and other properties are selected. When the “select” button is pressed on this screen, the title property is determined based on the selected contents, and the process returns to S8.

  In S15, a print number designation screen is displayed and the number of prints is designated. When the “Next” button is pressed, all the contents of the print order are confirmed. After that, a print of the content determined by the service provider is created and provided to the user.

  On the Hiragana input screen at S9, the Katakana input screen at S10, the alphanumeric input screen at S11, and other character input screens, the user is burdened by pressing the buttons corresponding to the characters one by one to input the document. Therefore, the conversion candidate character string obtained by the input candidate creation process described below is assigned to the input candidate buttons on the hiragana input screen, katakana input screen, or alphanumeric input screen. The input candidates obtained by this processing are contents that are highly likely to be used or set as titles with texts related to images. In addition, it is up to the user to use the input candidates as they are, to change part or all of them, or to input a character string from scratch without using any input candidates.

  Hereinafter, the contents of the input candidate creation process by the image print generation unit 34 (or the CPU 12 may be used. The same applies hereinafter) will be described. The meaning content indicated by the characters and the shape of the speech balloon are arbitrary, and the content of the sentence and the speech balloon shape may be designated by an input operation to the operation unit 26.

  First, keywords corresponding to an image are extracted based on the analysis result of the image or the metadata of the image. For example, as disclosed in Japanese Patent Application Laid-Open No. 2004-133620, constituent elements of an image (subject shape, color, size, etc.) are extracted, and a keyword defined in advance is searched based on the constituent elements. Alternatively, person extraction is performed, and personal information (face, name, contact information, etc.) previously registered in the database corresponding to the extracted person feature amount is searched and extracted. Alternatively, photographing position information (GPS information) of metadata is acquired, and a place name corresponding to the position information is searched and extracted from the database. Alternatively, a character string existing in the image is extracted, and a term related to the character string is searched and extracted from the database. The extracted personal information, place name, and related terms can all be used as keywords. In short, the keyword may be anything as long as it is a character string having contents related to the image.

  Further, it is sufficient that the number of images from which keywords are extracted is at least one. When keywords are extracted from a plurality of images, keywords that are duplicated among the keywords extracted from each image are removed, and they are used again as image keywords.

  Next, the retrieved keyword is assigned to an input candidate button (hereinafter simply referred to as an input candidate) provided on the software keyboard.

  At this time, if a keyword can be extracted from a specific image, the same keyword is used as an input candidate on the character input screen for another image whose position information is the same as or close to the position information included in the metadata of the image. Assign.

  For example, it is assumed that the keyword “sea” is extracted from the image A as shown in FIG. In this case, the shooting date and / or position information is acquired from the metadata of the image A and images other than the image A, for example, the metadata of the images B, C, D, E, and F, and the degree of approximation is determined. The shooting date and / or position information acquired from the images B, C, D, E, and F is the same as or close to the shooting date and / or position information acquired from the image A (for example, the position information of the image A indicates From the position, the positions indicated by the position information acquired from the images B, C, D, E, and F are all within a radius of 500 m and / or the shooting date and time of the image A and the images B, C, D, and E In the case of image A, the input candidates on the character string input screen corresponding to images B, C, D, E, and F are as shown in FIG. Assign the same “sea” as In this way, even if the keyword “sea” is not extracted from the images B, C, D, E, and F, the keyword “sea” related to these images can be assigned to the input candidates. Of course, it is not necessary to use “sea” as it is, and other characters may be added to “sea” to form “sea 1”, “sea 2”, etc. Be free.

  The comparison of the shooting date and time information and the position information is not necessarily performed in combination. For example, as a result of comparing only the shooting date and time, it is possible to assign the same keyword to images taken at a completely different place but close date and time. Alternatively, the same keyword extraction can be assigned to an image having a comparison of only position information, and a close place but a completely different shooting date and time.

  Alternatively, a new keyword may be created based on keywords extracted from a plurality of images and assigned to keywords of other images. For example, it is assumed that keywords “sea 1” and “sea 2” are extracted from images U and V in which shooting date and time and position information are close to each other. In this case, a portion “sea” common to “sea 1” and “sea 2” is extracted, and “sea 3”, “sea 4”, “sea 5”, “sea 6” are combined with a serial number that does not overlap with this. "Is newly created. Then, these are sequentially assigned to input candidates of other images W, X, Y, and Z in which the images U and V and the shooting date and time and position information are close to each other. In this way, input candidates for other images can be made continuous and common.

  Alternatively, as shown in FIG. 4, a desired image to be given a title is displayed on the display 50, and a desired trimming area is set on the image through a range selection operation to the operation unit 26. Then, it is determined whether or not a cutout region including only a person subject is set in the set trimming region. When only a person subject is cut out, a keyword related to the person (for example, for example, Name of person recorded in metadata or database “Mr. A”). On the other hand, keywords related to objects that are not included in the trimming area (for example, “empty” that is the name of the object) are input candidates that are lower in priority than input candidates related to a person (the order of input candidates and the output order). The input candidates are assigned to input candidates lower than the highest order. In this case, for example, the input candidate 1 becomes the person name “Mr. A” and the input candidate 2 becomes “empty”.

  Whether or not only a human subject is cut out is determined by comparing the human subject identified by known face detection or other human detection and object detection with a non-human subject and the trimming region. Is determined based on whether or not the subject includes only a human subject and does not include a subject other than the human subject.

  Further, the keyword assignment methods shown in FIGS. 3 and 4 may be combined. For example, when a trimming area is set in the image A and the trimming area includes only the object subject “Mt. Fuji”, keywords such as the images B and C in which the shooting date and position information are close to the image A include the image The keyword “Mt. Fuji” related to the object subject included in the trimming area of A is assigned.

Second Embodiment
A plurality of images are arranged on one mount. When a title is given to each mount instead of giving a title to each image, a common keyword among each image or each Of the keywords in the image, those with the highest number of appearances are given priority as input candidates for the character string input screen corresponding to the title of the mount.

  For example, it is assumed that images A to H as shown in FIG. 5A are arranged on one mount and keywords as shown in FIG. 5B are extracted from the images A to H. In this case, since the keyword “Tera” appears most frequently, “Tera” is assigned to the input candidate 1. After “Tera”, the keyword “Mr. B” appears most frequently, so “Mr. B” is assigned to the input candidate 2. For input candidates 3 and below, keywords having the highest number of appearances are sequentially assigned to the input candidates.

  If there is a keyword whose appearance count is not superior or inferior, the keywords with the longest number of character strings are preferentially assigned to input candidates. This is because longer sentences take more time to input. Alternatively, keywords that have a higher occurrence rate of kanji than hiragana are preferentially assigned to input candidates. This is because a sentence with kanji conversion takes more time to input.

  Alternatively, when there are a plurality of images arranged on one mount, the sizes of the images are compared, and a keyword corresponding to the large size image is preferentially assigned to a title input candidate for the mount. For example, as shown in FIG. 6, when images A and B are arranged on a single mount and the size of image A is larger than that of image B (for example, image A is selected as an image to be enlarged to a predetermined size in S3). The keyword “Umi” of image A is input candidate 1 of the character string input screen corresponding to the title TX of the mount, and the keyword “mountain” of image B is input candidate 2 of the same screen. “Sea” is assigned to the input candidate with priority over “Mountain”. Although not shown, if there are three or more images, the keyword of the largest image to the keyword of the smallest image are sequentially assigned to the input candidates.

  Alternatively, when there are a plurality of images arranged on one mount, the positions of the images are compared, and a keyword corresponding to an image at a predetermined position, for example, the position closest to the center of the mount, Assign priority to input candidates. If the image size comparison is not superior or inferior, this position may be compared. If the size and the position are not superior or inferior, the keyword that comes first in a predetermined order such as the alphabetical order or alphabetical order is preferentially assigned to the input candidate of the title for the mount.

  Note that the common keyword extraction range need not be limited to one mount, but may be a range arbitrarily designated by the user, for example, all images from the first page to the second page.

<Third Embodiment>
When inputting a title for the mount or inputting a title for each image differs depending on the mount of each page, when inputting a title for each image, the first embodiment is used. When inputting, the second embodiment can be applied, and the method of creating input candidates can be changed in accordance with the configuration of the page.

  FIG. 7 illustrates a photo album mount in which a title setting target is defined for each page. The title setting target of the text box TX1 in FIG. 7A is a mount, and the text box in FIG. 7B. The title setting targets of TX2 and TX3 are the images I and J on the mount.

  In the character string input screen corresponding to the text box TX1, the common keywords of the images A to H are preferentially assigned to input candidates as in the second embodiment.

  On the character string input screen corresponding to the text boxes TX2 and TX3, keywords corresponding to the image I or the image J are assigned to input candidates as in the first embodiment.

  In this way, by defining a character string setting target for each text box, input candidates corresponding to those are assigned.

<Fourth embodiment>
When a title is assigned to each of a plurality of images in the same page or spread, even if a title already used for one image is used for another image, the same title continues, which is not preferable. To avoid this, do the following:

  For example, as shown in FIG. 8, images A to H are arranged on one spread page (consisting of the first page mount and the second page mount), and image B is extracted by keyword extraction or the like in the first embodiment. Is given the title “1/23”. Furthermore, it is assumed that the keywords of the images C to F are “1/23”. In this case, in the first embodiment, the input candidates of the titles TX-C to TX-F corresponding to the images C to F are “1/23”, but in this way, the same input candidates as the title of the image B are consecutive. Resulting in. Therefore, the keyword “1/23” is assigned to an input candidate having a lower rank than other input candidates (such as “Tera”) corresponding to the images C to F, or excluded from the input candidates corresponding to the images C to F.

  In this way, images having the same keyword are arranged in advance continuously on the same page or spread as one group, and a keyword common to the group is assigned as a title, comment, or message of one image of the group. Then, when the necessity of assigning the same keyword to other images in the same group is low, another more appropriate title or the like can be quickly given by lowering the priority of such a keyword.

<Fifth Embodiment>
When a title can be assigned to each image arranged on one mount and a title can also be assigned to the mount, it is preferable to avoid duplication of both, so the title assigned to one of the inputs is the other input Either remove it from the candidates, or make the priority lower than other input candidates.

  For example, as shown in FIG. 9, it is assumed that the images A to D are arranged on one mount and the title text boxes TX1 to TX4 corresponding to the images A to D are also arranged in the vicinity of the images. In addition, it is assumed that the text box TX5 of the title of the mount is also arranged at the bottom of the mount.

  If the title input in the box TX5 is “Kyoto” and the keyword extracted from the images A to D is also “Kyoto”, “Kyoto” is assigned to the input candidates corresponding to each of the images A to D. Less important. Therefore, the title “Kyoto” input in the box TX5 has a lower priority than other input candidates corresponding to the images A to D, or is excluded from the input candidates corresponding to the images A to D.

  By doing so, it is possible to eliminate the waste of inputting keywords that are already used in the same mount and are unlikely to be selected twice or not at all.

  Conversely, if the title input in any of the text boxes TX1 to TX4 is “Kyoto”, the importance of assigning “Kyoto” to the input candidate of the text box TX5 is low. Therefore, “Kyoto” may have a lower priority than other input candidates of the text box TX5 or may be excluded from the input candidates.

<Other embodiments>
In the first to fifth embodiments described above, the titles correspond to images, mounts (pages), and spreads. In addition, input candidates for titles corresponding to albums can be created in the same manner. For example, common keywords may be extracted from all the images arranged in the album, and assigned to title input candidates corresponding to the album in descending order of appearance frequency. Alternatively, a keyword extracted from an image having the largest size among images arranged in the album may be assigned to an input candidate for the album title.

  Alternatively, the keyword set as the title of the album may be excluded from input candidates for titles corresponding to images, mounts, and spreads, or may be input candidates with a lower priority than other input candidates corresponding to them.

  Conversely, keywords set for images, mounts, and spread titles may be excluded from album title input candidates or may be input candidates with a lower priority than other input candidates for album titles.

  In addition, the definition of the text box target on the mount, the text box layout, and the image layout may be arbitrarily specified by the user via the operation unit 26, or the text box and the image are arranged in a predetermined area. You may make it do.

  Further, the keyword assignment target is not limited to the software keyboard, but may be a normal button type keyboard or other operation means.

  Furthermore, the target to which the input candidate is assigned is not necessarily limited to the title or text box of the image print. For example, the present invention may be applied to an input candidate display function for a comment entry field attached to an image of a web diary (web log). In short, the present invention can be applied in various scenes where information accompanying an image is input.

Configuration diagram of image print creation device Diagram showing transition of screen for specifying print contents The figure which shows an example in which the input candidate corresponding to an image was allocated according to position information Diagram showing an example of the trimming range The figure which shows an example of the text box corresponding to one page The figure which shows an example of the image of the different size arrange | positioned on 1 page The figure which shows an example of the mount which defines the title setting object for every page The figure which shows an example of the text box corresponding to the several image arrange | positioned on 1 page The figure which shows an example of the text box corresponding to several images and the text box corresponding to 1 page

Explanation of symbols

10: Image print creation device, 18: HDD, 34: Image print generation unit

Claims (9)

Obtaining a plurality of keywords related to a plurality of first images;
Extracting a common part of a plurality of keywords related to the first image;
Acquiring a shooting date and / or shooting position of the first image and the first second image number multiple excluding the image,
Comparing the shooting date and / or shooting position of the first image and the second image;
Setting a common part of keywords extracted from the first image as a common part of keyword candidates when inputting information corresponding to the second image according to the comparison result;
Keyword setting method including.   The keyword setting method according to claim 1, further comprising a step of defining a unit as an input target of the information.   The keyword setting method according to claim 2, wherein the unit to which the information is input includes at least one of an image, a single page, a spread page, and an album.   Setting a desired trimming region on a desired image in the second image;
  Determining whether or not a cutout region including only a specific object is set in the set trimming region;
  In the case where it is determined that a cutout region including only a specific object is set in the set trimming region, a keyword related to the specific object among the keywords related to the acquired first image A keyword candidate when inputting information corresponding to the desired image,
The keyword setting method according to claim 1, comprising:   Among the keywords related to the acquired first image, keywords related to the object not included in the trimming area are keywords related to the specific object when inputting information corresponding to the desired image. The keyword setting method according to claim 4, further comprising a step of setting a keyword candidate having a lower priority order. Program for executing a keyword setting process according to a computer in any one of claims 1-5. Means for acquiring a plurality of keywords related to the plurality of first images;
Means for extracting a common part of a plurality of keywords related to the first image;
Means for obtaining a shooting date and / or shooting position of the first image and the first number of the multi-image excluding the second image,
Means for comparing the shooting date and / or shooting position of the first image and the second image;
Means for setting a common part of keywords extracted from the first image as a common part of keyword candidates when inputting information corresponding to the second image according to the comparison result;
Keyword setting device including   Means for setting a desired trimming region on a desired image in the second image;
  Means for determining whether or not a cutout region including only a specific object is set in the set trimming region;
  In the case where it is determined that a cutout region including only a specific object is set in the set trimming region, a keyword related to the specific object among the keywords related to the acquired first image A keyword candidate when inputting information corresponding to the desired image,
  The keyword setting device according to claim 7, comprising:   Among the keywords related to the acquired first image, keywords related to the object not included in the trimming area are keywords related to the specific object when inputting information corresponding to the desired image. The keyword setting device according to claim 8, further comprising means for setting a keyword candidate having a lower priority order.

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