KR20170098113A - Method for creating image group of electronic device and electronic device thereof - Google Patents
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Abstract
A method of generating an image group of an electronic device according to various embodiments, the method comprising: generating a group including at least one image; generating a group of at least one of the at least one image group stored in the electronic device, Including the at least one image included in the generated group in a first image group having a first image group and an image information of the at least one image included in the generated group, And changing the first title to the second title. Other embodiments are possible.
Description
Various embodiments relate to a method of generating an image group of an electronic device and an electronic device thereof.
As the use of portable electronic devices such as smart phones and tablet PCs with camera functions become common, users using electronic devices can shoot pictures (or movies) anytime and anywhere. Accordingly, in recent years, a user using an electronic device has taken many pictures in order to leave his / her daily life as a photograph. As many pictures are stored in the memory of the electronic device, it has been demanded to develop a technique to easily organize and manage stored pictures. Accordingly, conventionally, a technique has been developed for organizing and / or managing photographs by creating image groups based on date and position information of photographs stored in electronic devices.
Conventional techniques for creating groups of images to organize and / or manage images, such as photographs, provide automatic classification by analyzing images on a server basis. In addition, the conventional technique detects an image based on a specific keyword, so that the electronic device creates an image group after determining the classification range to a specific period and / or a specific place. Further, the conventional technique displays the title of the generated image group as positional information.
Conventional image group generation technology generates an image group by dividing images without distinguishing images similar to duplicated images because an image group is generated based on a simple rule. Also, conventionally, a technique has been developed to update the generated image group when an image related to an image group generated in an electronic device is added or when an image included in the generated image group is edited not.
Accordingly, various embodiments are directed to a method of generating an image group of an electronic device capable of providing an electronic device-based image automatic classification and an electronic apparatus thereof. For example, an electronic device can automatically classify and group many photographs, which are difficult for a user to directly classify, by using tag information such as time, place, and person based on image analysis. Also, a meaningful title can be automatically generated through the tag information of the grouped pictures. This allows the electronic device to present a meaningful display of many pictures to the user and to facilitate sharing and / or consumption.
In addition, various embodiments are provided to provide an image group generation method of an electronic device and an electronic apparatus thereof that can provide an afterimage using tag information of an image.
In addition, various embodiments provide a method of generating an image group of an electronic device capable of automatically updating the group of images when an image related to the group of images created in the electronic device is added, and an electronic apparatus thereof .
In addition, various embodiments are provided to provide an image group generation method and an electronic apparatus thereof for an electronic device capable of adjusting a range of image clustering according to a photographing pattern of a user with a dynamic classification standard.
A method of generating an image group of an electronic device according to an embodiment, the method comprising: generating a group including at least one image; generating an image group corresponding to the generated group of at least one image group stored in the electronic device, Including at least one image included in the generated group in a first image group having a first image group and using image information of the at least one image included in the generated group, 1 < / RTI > title to the second title.
The electronic device according to an embodiment, comprising: a memory; a memory for storing a first image group corresponding to the generated group of at least one image group stored in the memory and having a first title, Wherein the first image group includes at least one image included in the generated group, and the image information of the at least one image included in the generated group is used to convert a first title of the first image group into a second title And a control unit for changing the operation mode.
CLAIMS What is claimed is: 1. A recording medium for generating a group of images of an electronic device, the group comprising at least one image, Comprising: adding the at least one image included in the generated group to a first image group having a first title; and using the image information of the at least one image included in the generated group, A program for operating the operation of changing the first title of the image group to the second title can be recorded.
A method and an electronic device for generating an image group of an electronic device according to various embodiments can provide an electronic device based image automatic classification. In addition, it is possible to provide a follow-up view using tag information of an image. Further, when an image related to an image group generated in the electronic device is added, the image group can be automatically updated. In addition, the range of image clustering can be adjusted according to the photographing pattern of the user as a dynamic classification standard.
1 illustrates a network environment including an electronic device according to various embodiments.
Figure 2 shows a block diagram of an electronic device according to various embodiments.
3 shows a block diagram of a program module according to various embodiments.
4 illustrates a system including an electronic device for generating a group of images according to various embodiments.
5 shows a configuration of an electronic device for generating a group of images according to various embodiments.
6 is a flow diagram of an image group creation operation of an electronic device (e.g., electronic device 101) according to various embodiments.
7 is a flowchart of an image group creation operation of an electronic device (e.g., electronic device 101) according to various embodiments.
8 is a flow diagram of a time information-based image group creation operation of an electronic device (e.g., electronic device 101) according to various embodiments.
9 and 10 are views for explaining generation of an image group based on time information according to various embodiments.
11 is an exemplary view of a screen for inducing a user to perform a name tag for images.
12 is a flow diagram of an image group update operation in response to image acquisition of an electronic device (e.g., electronic device 101) according to various embodiments.
Figure 13 is a flow diagram of operations for merging groups of images according to creating a new image group of an electronic device according to various embodiments.
14 is an exemplary view of an image search screen using tag information according to various embodiments.
15 is an illustration of an image containing a plurality of tag information according to various embodiments.
16 is an exemplary view of a screen displaying image groups according to various embodiments.
Hereinafter, various embodiments of the present document will be described with reference to the accompanying drawings. It is to be understood that the embodiments and terminologies used herein are not intended to limit the invention to the particular embodiments described, but to include various modifications, equivalents, and / or alternatives of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar components. The singular expressions may include plural expressions unless the context clearly dictates otherwise. In this document, the expressions "A or B" or "at least one of A and / or B" and the like may include all possible combinations of the items listed together. Expressions such as " first, "" second," " first, "or" second, " But is not limited to those components. When it is mentioned that some (e.g., first) component is "(functionally or communicatively) connected" or "connected" to another (second) component, May be connected directly to the component, or may be connected through another component (e.g., a third component).
In this document, the term " configured to (or configured) to "as used herein is intended to encompass all types of hardware, software, Quot ;, "made to do "," made to do ", or "designed to" In some situations, the expression "a device configured to" may mean that the device can "do " with other devices or components. For example, a processor configured (or configured) to perform the phrases "A, B, and C" may be implemented by executing one or more software programs stored in a memory device or a dedicated processor (e.g., an embedded processor) , And a general purpose processor (e.g., a CPU or an application processor) capable of performing the corresponding operations.
Electronic devices in accordance with various embodiments of the present document may be used in various applications such as, for example, smart phones, tablet PCs, mobile phones, videophones, electronic book readers, desktop PCs, laptop PCs, netbook computers, workstations, servers, PDAs, a portable multimedia player, an MP3 player, a medical device, a camera, or a wearable device. Wearable devices may be of the type of accessories (eg, watches, rings, bracelets, braces, necklaces, glasses, contact lenses or head-mounted-devices (HMD) (E.g., a skin-pads or tattoo), or a bio-implantable circuit. In some embodiments, the electronic device may be, for example, a television, a digital video disk (Such as Samsung HomeSync ™ , Apple TV ™ , or Google TV ™ ), a refrigerator, air conditioner, vacuum cleaner, oven, microwave oven, washing machine, air purifier, set top box, home automation control panel, A game console (e.g., Xbox TM , PlayStation TM ), an electronic dictionary, an electronic key, a camcorder, or an electronic frame.
In an alternative embodiment, the electronic device may be any of a variety of medical devices (e.g., various portable medical measurement devices such as a blood glucose meter, a heart rate meter, a blood pressure meter, or a body temperature meter), magnetic resonance angiography (MRA) A navigation system, a global navigation satellite system (GNSS), an event data recorder (EDR), a flight data recorder (FDR), an automobile infotainment device, a marine electronic equipment (For example, marine navigation systems, gyro compasses, etc.), avionics, security devices, head units for vehicles, industrial or domestic robots, drones, ATMs at financial institutions, of at least one of the following types of devices: a light bulb, a fire detector, a fire alarm, a thermostat, a streetlight, a toaster, a fitness device, a hot water tank, a heater, a boiler, . According to some embodiments, the electronic device may be a piece of furniture, a building / structure or part of an automobile, an electronic board, an electronic signature receiving device, a projector, or various measuring devices (e.g., Gas, or radio wave measuring instruments, etc.). In various embodiments, the electronic device is flexible or may be a combination of two or more of the various devices described above. The electronic device according to the embodiment of the present document is not limited to the above-described devices. In this document, the term user may refer to a person using an electronic device or a device using an electronic device (e.g., an artificial intelligence electronic device).
Referring to Figure 1, in various embodiments, an
The
The
The wireless communication may include, for example, LTE, LTE-A (LTE Advance), code division multiple access (CDMA), wideband CDMA (WCDMA), universal mobile telecommunications system (UMTS), wireless broadband (WiBro) System for Mobile Communications), and the like. According to one embodiment, the wireless communication may be wireless communication, such as wireless fidelity (WiFi), Bluetooth, Bluetooth low power (BLE), Zigbee, NFC, Magnetic Secure Transmission, Frequency (RF), or body area network (BAN). According to one example, wireless communication may include GNSS. GNSS may be, for example, Global Positioning System (GPS), Global Navigation Satellite System (Glonass), Beidou Navigation Satellite System (Beidou) or Galileo, the European global satellite-based navigation system. Hereinafter, in this document, "GPS" can be used interchangeably with "GNSS ". The wired communication may include, for example, at least one of a universal serial bus (USB), a high definition multimedia interface (HDMI), a recommended standard 232 (RS-232), a power line communication or a plain old telephone service have.
Each of the first and second external
2 is a block diagram of an electronic device 201 according to various embodiments. The electronic device 201 may include all or part of the
May have the same or similar configuration as communication module 220 (e.g., communication interface 170). The
Memory 230 (e.g., memory 130) may include, for example,
The
The
Display 260 (e.g., display 160) may include
The
The
3 is a block diagram of a program module according to various embodiments. According to one embodiment, program module 310 (e.g., program 140) includes an operating system that controls resources associated with an electronic device (e.g., electronic device 101) and / E.g., an application program 147). The operating system may include, for example, Android TM , iOS TM , Windows TM , Symbian TM , Tizen TM , or Bada TM . 3,
The
The
The
The
4 illustrates a system including an electronic device for generating a group of images according to various embodiments. Referring to Figure 4, a first electronic device 410 (e.g., electronic device 101) may send an image and / or a group of generated images to a second electronic To the device 450 (e. G., The electronic device 104) to share the image and / or group of images with the second
The
The first
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For example, the
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5 shows a configuration of an electronic device for generating a group of images according to various embodiments.
The
The
The
The Gallery 513 can provide contents such as pictures and moving pictures taken by the user directly using the
The S-
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Story Generator (5336) can automatically create event groups. The event group creation will be described in detail later.
The
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For example, when creating an image group, the AGIF file of an image group composed of optimal images may be generated after selecting at least one optimal image according to a predetermined condition for a plurality of similar images.
The
(E.g., memory 130) and a group comprising at least one image, and wherein at least one of the plurality of images stored in the memory The at least one image included in the generated group is included in a first image group corresponding to the generated group and having a first title among the image groups, and the image of the at least one image included in the generated group (E.g., processor 120) that uses the information to change the first title of the first group of images to the second title.
According to various embodiments, the controller (e.g., processor 120) may analyze the at least one image, and if the at least one image is a plurality of images, Lt; / RTI >
According to various embodiments, the control unit (e.g., processor 120) further comprises determining the first image group corresponding to the generated group according to the information of the generated group, The group information may include at least one of location information, time information, image type information, or user input information.
According to various embodiments, the controller (e.g., processor 120) may use at least one image included in the first group of images and the at least one image included in the generated group And if it is determined that there are similar images, selects one of the similar images according to a specified condition, and if an image other than the selected one of the similar images is stored It can be prevented from being included in the image group.
According to various embodiments, the image information of the at least one image included in the generated group may include at least one of position information, time information, image type information, or user input information.
According to various embodiments, when the first title of the first image group is changed to the second title, the controller (e.g., processor 120) may correspond to the at least one information included in the image information May be included in the second title.
According to various embodiments, the controller (e.g., processor 120) may generate at least one new image group using the at least one image included in the generated group, And generating a title of the generated new image group using at least one piece of image information included in the generated new image group.
According to various embodiments, when the at least one image included in the generated group is a plurality of images, the control unit (e.g., processor 120) may use the time information of each of the plurality of images, Classifying the plurality of images in a corresponding time interval of the designated time intervals, checking at least one peak time interval having a number of images equal to or larger than the average value of the time intervals of the corresponding time periods, Determining a first time interval from a nearest previous time interval in which the number of images is a specified number of previous time intervals to a nearest subsequent time interval in which the number of images is the predetermined number, And creating the group including the images included in the first time period as the group There.
According to various embodiments, when the generated group is a plurality of groups, the control unit (e.g., processor 120) calculates time intervals with the preceding and succeeding groups for each of the plurality of groups, The time intervals with respect to the preceding and following groups are divided into a short time interval and a long time interval, and representative values of time intervals (for example, an average value, a minimum value, a maximum value, ) And a second time interval, which is a representative value of time intervals divided by the long time interval, and includes adjacent groups having a time interval shorter than the first time interval among the plurality of groups And creating at least one new image group.
According to various embodiments, the controller (e.g., processor 120) may further include generating at least one new image group that includes adjacent groups at time intervals less than the second time interval among the plurality of groups .
According to various embodiments, when the at least one image included in the generated group is a plurality of images, the control unit (e.g., processor 120) may determine that the plurality of images are identical to each other And generating at least one group for each of the images including the same person by using the images included in the at least one group if the number of images included in the at least one group is equal to or greater than a specified number, And creating a new group of images.
According to various embodiments, the controller (e.g., processor 120) may include using the at least one of face recognition technology or name tag information to classify the plurality of images by images that include the same person have.
According to various embodiments, the electronic device further includes a display (e.g., display 160), wherein the controller (e.g., processor 120) determines whether the number of images included in the at least one group And displaying a screen for setting a name tag for a person corresponding to the group on the display if the number is more than a predetermined number.
According to various embodiments, when the at least one image included in the generated group is a plurality of images, the controller (e.g., processor 120) may convert the plurality of images into images And if the number of images included in the at least one group is equal to or greater than a designated number of images, the image processing unit And creating at least one new image group.
According to various embodiments, when the at least one image included in the generated group is a plurality of images, the control unit (e.g., processor 120) may convert the plurality of images into an image And generating at least one group for each of the images including the corresponding position information, wherein the number of images included in the first group generated according to the first position information, which is the corresponding position information, , Creating at least one new image group using the images included in the first group.
According to various embodiments, when the number of images included in the second group generated according to the second position information is equal to or greater than the designated number of images, the controller (e.g., the processor 120) And using the images contained in the second group to create the at least one new image group.
According to various embodiments, the controller (e.g., processor 120) may generate (e.g., generate) in accordance with the first position information corresponding to a time after the time corresponding to the first group and a time before the time corresponding to the second group The second group, and the third group, if there is a third group of images in the first group, the images in the first group, the second group, and the third group.
According to various embodiments, the controller (e.g., processor 120) may convert images included in the first image group including the at least one image into an animation graphic interchange format (AGIF) file And < / RTI >
According to various embodiments, the controller (e.g., processor 120) may use at least one image information included in the first group of images, including the at least one image, And sorting the first group of images into at least two image groups.
According to various embodiments, the controller (e.g., processor 120) may be configured to use one or more of the plurality of image groups, May be generated.
According to various embodiments, in an electronic device (electronic device 101), a first image and a second image forming a first group of images, and a third image and a fourth image forming a second group of images are stored (E.g., memory 130) and a processor (e.g., processor 120), the processor is configured to: identify first attribute information corresponding to the first image group; Identify second attribute information corresponding to the second image group; A third image including at least one of the first image and the second image, and at least one of the third image and the fourth image, based on at least the first attribute information and the second attribute information, Create an image group; And a display functionally associated with the processor (e.g., processor 120) to associate and display the pictures forming the third group of images.
According to various embodiments, when the third group of images includes the first image and the second image, the third image, and the fourth image, if the third group of images is created, : The processor 120) may generate the title of the third group of images using the related information of each of the first image, the second image, the third image, and the fourth image.
According to various embodiments, when the third group of images includes the first image or the second image, the third image, and the fourth image, the processor (e.g., processor 120) Generates a title of the third group of images using information related to the first image or the second image included in the group of three images and information associated with each of the third image and the fourth image, If the group of images includes the first image and the second image, the third image, or the fourth image, the processor (e.g., processor 120) The title of the third image group can be generated using the image information and the image information of the third image or the fourth image included in the third image group.
According to various embodiments, the first property information includes first location information associated with the first image or the second image, and the second property information includes a second location information associated with the third image or the second image The processor (e.g., processor 120) comprises: a processor configured to compare the first location information with the second location information; And to perform generation of the third image group if the result of the comparison satisfies a specified condition.
According to various embodiments, the first property information includes first time information related to the first image or the second image, and the second property information includes a second time information associated with the third image or the second image And the processor (e.g., processor 120) comprises: comparing the first time information with the second time information; And to perform generation of the third image group if the result of the comparison satisfies a specified condition.
According to various embodiments, the first attribute information includes first tag information associated with the first image or the second image, and the second attribute information includes a second tag information associated with the third image or the second image And the processor (e.g., processor 120) includes tag information for comparing the first tag information with the second tag information; And to perform generation of the third image group if the result of the comparison satisfies a specified condition.
According to various embodiments, the first property information includes first object information related to the first image or the second image, and the second property information includes a second object information related to the second image or the second image Wherein the processor (e.g., processor 120) comprises: comparing the first object information with the second object information; And to perform generation of the third image group if the result of the comparison satisfies a specified condition.
According to various embodiments, the first attribute information may include at least one of first location information, first time information, first tag information, and first object information related to the first image or the second image, The second attribute information may include at least one of first location information, first time information, first tag information, and first object information related to the third image or the fourth image.
According to various embodiments, the processor (e.g., processor 120) may be configured such that the electronic device acquires a fifth image, and the acquired fifth image corresponds to third attribute information corresponding to the third image group , The fifth image may be included in the third image group.
According to various embodiments, the processor (e.g., processor 120) further includes altering the title of the third image group using associated information of each of the images included in the third image group can do.
According to various embodiments, the processor (e.g., processor 120) may include at least two pieces of information associated with the first image included in the third group of images, and at least two pieces of information associated with the third image If the at least two pieces of information associated with the first image and the second image correspond to the first image and the third image, the generation of the fourth image group including the first image and the third image.
According to various embodiments, the processor (e.g., processor 120) may be configured to determine whether at least one of the first image and the second image included in the third image group and the third image Or an animation graphic interchange format (AGIF) file.
According to various embodiments, the processor (e.g., processor 120) may associate the images forming the third group of images with a metro user interface type, a card type overlaying at least some of the images, And may be set to be displayed in an album form or a list form.
An album form, or a list form in which at least a part of the images are superimposed and displayed. The album type may be configured to display various images of the arrangement and size of the images forming the third image group. For example, the size of each of the images forming the third image group may be set differently. The album form may include text corresponding to images forming the third image group. The list form may be to display images arranged in a line in a specified direction.
The operations of associating and displaying the images forming the third image group with each other may be displayed in various ways, which may indicate that the images forming the third image group are one image group, in addition to the examples described above.
6 is a flow diagram of an image group creation operation of an electronic device (e.g., electronic device 101) according to various embodiments.
In
In
In
In
In
In
In
7 is a flowchart of an image group creation operation of an electronic device (e.g., electronic device 101) according to various embodiments.
In
In
For example, the electronic device may classify the plurality of images according to position information of each of the plurality of images. For example, the electronic device may generate at least one group by classifying a plurality of images by images including the same and / or similar position information.
The positional information may be information obtained by the electronic device with respect to the photographing position when the GPS function of the electronic device is activated, for example, when taking a photograph using the electronic device. Alternatively, the location information may be information obtained according to, for example, image analysis. For example, if the image includes a specific building such as a palace, the electronic device can analyze that the image includes Gyeongbokgung according to the image analysis operation of the 705 operation, and can determine the location information of Gyeongbokgung. Alternatively, the location information may be stored in the electronic device if, for example, the GPS function of the electronic device is off, or for some other reason, the electronic device can not acquire the location information, If photographing has been performed, the position information previously obtained using the previously obtained position information or the position information (position information similar to the previously obtained position information) may be determined as the position information of the photographed photograph. Alternatively, the location information may be used when the electronic device is storing a user profile (e.g., schedule information) of the electronic device, for example, when a user arrives at an analogous time on average, The location information of the user can be determined based on the schedule. Alternatively, when the electronic device accesses a specific access point (AP), the location information may be confirmed based on a signal of the specific AP (e.g., location information included in a beacon signal).
In
In
In
In
For example, the electronic device confirms the time information of each of the plurality of images, and classifies each of the plurality of images by a predetermined time zone according to a date, thereby generating at least one group (hereinafter referred to as moment )) Can be generated. A detailed description of the at least one group generating operation will be described in detail in the description of FIG. 8 below.
For example, the time information may include a photographing time (or a time when a photograph is captured and stored), and a time when the photographing time (or a photographing time and a photographing time) May be time information.
In
In
In
In
For example, the image type information may be information indicating what is included in the image (indicating what the image is), for example, information indicating that the image includes a specific person, food, Lt; / RTI > For example, the image type information may be information capable of identifying minutiae of an object included in the image and identifying an object included in the image.
For example, the image type information may be information capable of identifying a person included in the image using a face recognition technique.
The electronic device may generate at least one group by classifying the images including the same and / or similar image type information according to the image type information of each of the plurality of images. For example, if the image type information of some of the plurality of images includes information such as food, the plurality of images may be generated as one group for food.
In operation 755, the electronic device may determine whether a group generated according to the image type information-based clustering satisfies a third condition (also referred to as a third image group generation condition). For example, according to the image type information, the lowest image number for generating an image group may be preset. Accordingly, the third condition may be that the number of images included in the generated group should be equal to or greater than a specified number (a predetermined minimum number of images of the image type information corresponding to the generated group). For example, the third condition may be a condition that a specific object or a person should be photographed. For example, the third condition may be a condition that the user should be located at a specified specific place. If the user is located at a specified location, the third condition can be satisfied even when the number of images is equal to or smaller than the specified number. For example, the third condition may be a condition for confirming the schedule information of the user and matching the schedule. For example, at 2:00 on Saturday, when an office meeting is stored in the electronic device as a schedule, the actual photographing location may correspond to the location of the schedule.
In operation 755, if the electronic device determines that the group generated according to the image analysis information-based clustering satisfies the third condition, it can execute
In
In
8 is a flow diagram of a time information-based image group creation operation of an electronic device (e.g., electronic device 101) according to various embodiments.
Referring to FIG. 8, an example of an operation of generating an image group based on time information will be described by taking an image as an example of a picture, but the present invention can also be applied to various contents such as moving images other than images.
The electronic device can confirm the daily image acquisition time. In addition, the electronic device may divide a time interval of a plurality of images in a time zone near the image acquisition time into unit moments. For example, if an average of more than three pictures per hour of the day is taken or a picture is stored, more than one unit moment may be generated. The electronic device can generate images of one unit group (hereinafter, referred to as a moment) including the unit moments by connecting unit moments closer in time with respect to the generated unit moments.
In
The plurality of images may be obtained in various manners such as photographing, image copying, image capturing or downloading, image reception through file transfer, etc., and photographs shared with the cloud.
The unit moment is for sorting images based on time information, and may be a time interval classified according to a specified condition.
The electronic device may generate moments according to the following operations.
The electronic device can check the time period during which the photographs are photographed or photographed / copied / downloaded on an average of more than a day's daily basis, and can classify a set of photographs in a close time zone into a significant moment. An image group can be generated by connecting moments close in time around the important moment. For example, when taking or storing more than three pictures per hour on average per day, the important moments can be divided into one or more.
The electronic device can confirm the number of images acquired for each predetermined time interval on a daily basis. According to various embodiments, the electronic device can identify a time interval (referred to as a peak time interval) having an image number greater than the average number of images per unit moment in the time intervals of the same date. The peak time interval may be one or a plurality of peak time intervals, and a plurality of peak time intervals will be described below as an example. The electronic device can confirm the nearest previous time period and the following time period in which the number of images acquired for each of the plurality of peak time intervals is a designated number (e.g., 0). Wherein the electronic apparatus is configured to calculate, for each of the peak time intervals, from the closest previous time interval in which the number of acquired images is the predetermined number to the most recent subsequent time interval in which the number of acquired images is the specified number, Can be determined by the moment.
In
For example, as shown in FIG. 9, when the moments are arranged in a line in time sequence over several days, the time intervals of the moments with respect to each moment can be calculated.
9, the electronic device can calculate the time interval with the
At this time, the short time interval may be T1, and the long time interval may be T2, and 1 hour < T1 < T2 < For example, a value obtained by subtracting the last time of the (n-1) -th moment from the first time of the n-th moment (the time of the preceding picture) The minimum value among the values obtained by subtracting the last time can be set to T1. Also, the maximum value obtained by subtracting the last time of the (n-1) -th moment from the first time of the n-th moment minus the last time of the n-th moment from the first time of the (n + 1) -th moment may be T2.
T1 and T2 can be calculated by the following equation (1).
[Equation 1]
T1 = Min {Ns- (N-1), (N + 1) -Ne}
T2 = Max {Ns- (N-1), (N + 1) -Ne}
(N + 1) is the end time of the (n-1) th moment, and (N + 1) 1) th moment)
In
For example, the electronic device can generate a time interval table for a short time interval and a long time interval with front and rear moments calculated and calculated for each moment as shown in FIG. For example, the electronic device can specify that the maximum value of T1 does not exceed 24 hours, and the range can be specified to limit the maximum value of T2 to one week. For example, the electronic device may be configured such that the short time interval of the
In
For example, the designated travel information may be when the location information included in the image information is overseas. For example, when the location information included in the image information of the plurality of images is overseas, it can be determined that the image information of the plurality of images corresponds to the designated travel information. When the location information included in the image information of the plurality of images is domestic, it can be determined that the image information of the plurality of images does not correspond to the designated travel information.
For example, the specified travel information may be a distance greater than or equal to a specified distance from the user's home location stored in the electronic device. For example, when the location information included in the image information of the plurality of images is information corresponding to a distance not less than a specified distance from the home location of the user, the image information of the plurality of images corresponds to the designated travel information . When it is determined that the image information of the plurality of images does not correspond to the designated travel information when the position information included in the image information of the plurality of images corresponds to a distance smaller than a specified distance from the home position of the user can do.
For example, the designated travel information may be a case where event information of a schedule management application that registers and manages a schedule of a user installed in the electronic device is travel information. For example, when event information of a schedule management application that registers and manages a schedule of a user installed in the electronic device is recorded as a trip for a specified period, and time information of the plurality of images is included in a specified period recorded as the trip , It can be determined that the image information of the plurality of images corresponds to the designated travel information, or otherwise it can be determined that the image information of the plurality of images does not correspond to the designated travel information.
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In
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According to various embodiments, in order to minimize the amount of computation of an electronic device (e.g., electronic device 101) during the time information based image group generation operation, the electronic device may be operated on the following criteria.
The generation time of the moment can be set in advance for a specified time (for example, 5 o'clock every day, 5 o'clock every two days, 5 o'clock at an interval of one week, etc.). For example, for photographed images other than images added by download and MTP (multicast transport protocol) copy, it is possible to preset the moment to be generated only at a designated time.
The short time intervals and long time intervals of the moments depend on the images that are the user data, but the generation of the image group can be made according to the calculation time of the average time interval of short time intervals of moments and the average time interval of long time intervals . Accordingly, it is possible to store a mean time interval in which the calculation is completed without storing the short time interval and the long time interval from the beginning again according to the moments, The average time interval of time intervals and the average time interval of new long time intervals can be calculated.
&Quot; (2) "
Average time interval of new short time intervals = (Average time interval of existing short time intervals * Number of existing moments + New short time interval 1 + New short time interval 2 + ... + + New short time interval N) / Number of moments + number of new moments)
&Quot; (3) "
Average time interval of new long time intervals = (Average time interval of existing long time intervals * Number of existing moments + New long time interval 1 + New long time interval 2 + ... + New long time interval N) / Number of moments + number of new moments)
The electronic device does not take into account dynamic parameters (peak time interval, short time interval, long time interval, etc.) at the time of image group update such as including at least one image in addition to the generated image group after image group creation . For example, when the electronic device acquires at least one image, if the acquired image is included in an image group generation condition of a specific image group generated in advance, the acquired image is added to the specific image group, The sorting rule can be applied to update the group of images by excluding similar images. For example, when the electronic device deletes one or more images, in accordance with the deletion of the image, if the image of the group of images in which the image was included does not meet the specified minimum number of images (e.g., 7) You can delete the group of images that contained the image.
The electronic device can perform an operation for generating an image group in a state in which at least one image is clustered, a service flag for checking that the images have been analyzed and processed, and excluding the once processed image . However, if the condition of the minimum number of images is not satisfied, the deleted image group may be newly created if an image is added by MTP insert or the like and the criterion is satisfied.
According to various embodiments, an electronic device (e.g., electronic device 101) may analyze a plurality of images to generate a group of images based on image analysis results and / or image tag information. When the image result information type information is a person, the electronic device, when there are more than a specified number of some images estimated to contain the same person among a plurality of images, Group can be created. In addition, the electronic device may generate one image group including pictures of a person tagged with the same name, if there are more than a specified number (e.g., 10) of pictures of the person tagged with the same name.
If the number of images estimated to be the same person is equal to or greater than a designated number (e.g., 15), the electronic device can display a screen for prompting the user to perform name tags for images as shown in FIG. Referring to FIG. 11, the electronic device may display a
According to various embodiments, an electronic device (e.g., electronic device 101) may use the tag information of each of the images to generate a group of images. For example, the electronic device can automatically generate an image group when the number of pictures designated by the tag information is satisfied, according to the priority of the tag information, as shown in Table 1 below.
Name, Documents, Food, Fashion
In consideration of the importance of the image group, the electronic device can designate the tag information as a first priority, a second priority, and a third priority in advance, as shown in Table 1, The number of images to be included can be specified in advance. The tag information included in the first priority is higher in priority than the tag information included in the second priority, and the tag information included in the second priority has a higher priority than the tag information included in the third priority.
For example, as shown in Table 1, when the first priority includes a name and the lowest image number of the first priority is designated as 15, if the electronic device confirms that there are 15 images having the same name tag , And 15 images having the same name tag may be generated as one image group.
In addition, when a plurality of pieces of tag information are included in one image, the electronic device checks whether the image group can be generated according to the image group generation condition using the tag information having a high priority, Can be generated. If it is not possible to generate an image group according to the image group creation condition using the tag information having the high priority, it can be checked whether image group creation is possible according to the image group creation condition using the tag information with low priority .
According to various embodiments, an electronic device (e.g., electronic device 101) may analyze a plurality of images to generate a group of images based on the location information of the plurality of images.
For example, when the number of photographs taken at the same place is equal to or greater than a specified number, the electronic device can generate a photograph group of the photographs taken at the same place.
For example, the electronic device has photographs taken for a predetermined number of days or more at the same place, and at the same time, when the photographs taken per day satisfy the specified condition, the photographs taken at the same place can be generated as one image group. The specified number of days may include a date immediately following, such as May 1, May 2, and / or a date not immediately followed by an interval for some period such as May 1 and June 3.
For example, the designated days are referred to as two days, and the specified condition may be a case where the number of photographs at the same place is the designated number, for example, 15 or more. Under such a condition, for example, when a user takes 20 pictures at night in Apgujeongjung using the electronic device on May 15, the electronic device displays the pictures photographed according to automatic and / or user input Can be stored on May 15th as night in Apgujeong-dong. In this case, the electronic device satisfies the specified condition, but does not generate the image group for the affirmative action by confirming that the specified days are not satisfied.
Thereafter, when the user takes three photographs in Apkujung-dong using the electronic device on June 8, the electronic device displays the tag information of each of the photographs photographed according to automatic and / or user input on June 8, It can be saved as Apgujeong-dong. In this case, the electronic device satisfies the specified number of days, but does not satisfy the specified condition, and does not generate the image group for the affirmative action.
Then, when the user takes 17 photographs in the afternoon in Apkujungjeong using the electronic device on June 22, the electronic device displays tag information of each of the photographs photographed according to automatic and / or user input on June 22, It can be saved as afternoon in Apgujeong-dong. In this case, the electronic device confirms that it meets the specified days and the specified conditions, that is, confirms that the specified condition is satisfied on June 22, which is the second date after May 15, You can create an image group that includes all the photos taken at Apgujeong-dong on the 15th and 22nd of June.
On the other hand, in addition, the electronic device has photographs taken for a predetermined number of days or more at the same place, and at the same time,
If there is a picture photographed on at least one date that does not satisfy the specified condition between the days of the several days that satisfy the specified condition at the same place, All of the photographs photographed on at least one date can be created as one image group. For example, an image group including all the photographs taken on May 15, June 8, and June 22, Apgujeong-dong may be created.
According to various embodiments, an image group for a plurality of images can be generated by combining two or more pieces of time information, image analysis result, tag information, or position information.
According to various embodiments, an electronic device (e. G., Electronic device 101) may automatically generate a title of a created or updated group of images. For example, a title of an image group can be dynamically generated by the electronic device using tag information of images included in an image group. For example, the electronic device can use various kinds of combinations of location + time, POI + time, time + image analysis information (situation information), person + place, travel, weather, holiday, Can be generated automatically.
Tables 2 and 3 show an example of a title generation rule of an image group.
The generated expressions can be arranged in the order of date + (formula C) + time zone + (formula A) or (formula B) using the title generation rules of Tables 2 and 3, and the formulas A, B, C May apply only one of them according to the designated priority, or may not apply Equations A to C at all.
Wherein the electronic device is configured such that the date is "second Monday of March", the formula C is "romantic", the time zone is "night", the formula A is "with the formula" For example, if B is determined to be "at the beach ", at least one of the following image group titles may be generated.
1) Applying Equation A: With the evening formation on the second Monday of March (created by "2 nd week of March Sunday Evening with Jinhyung" when the electronic device is set to support English)
2) Applying formula B: On the evening of the second Monday in March at the beach (when the electronic device is set to support English, it is created as "2 nd week of March Sunday Evening at the beach"
3) Apply to Formula C: Romantic Evening on the second Monday of March (created when the electronic device is set to support English, "2 nd week of March Sunday Romantic Night")
4) No formulas: Monday night of the second week of March (if the electronic device is set to support English, it is created as "2 nd week of March Sunday Night")
Wherein the electronic device is a digital camera having a date of "Christmas", a formula C of "special", a time of day of "evening", a formula A of "with a formula" and a formula B of " Quot ;, it is possible to generate at least one of the titles of the following image group.
1) Applying formula A: With Christmas evening formation (if the electronic device is set to support English, it will be created as "Christmas Evening with Jinhyung")
2) Applying Formula B: On Christmas Evening Beach (if the electronic device is set to support English, it will be created as "Christmas Evening at the beach")
3) Applying formula C: Christmas special evening (created as "Christmas Special Evening" if the electronic device is set to support English)
4) No formula: Christmas evening (if the electronic device is set to support English, it will be created as "Christmas Evening")
If the electronic device determines that the date is "Christmas ", the formula C is absent, there is no time zone, the formula A is" with the formation ", and the formula B is & , It is possible to generate at least one of the titles of the following image groups.
1) Applying Formula A: With Christmas Formation (if the electronic device is set to support English, it will be created as "Christmas with Jinhyung")
2) Applying Formula B: On Christmas Beach (if the electronic device is set to support English, it will be created as "Christmas at the beach")
3) No formula: Christmas evening (created by "Christmas Evening" if the electronic device is set to support English)
According to various embodiments, an electronic device (e.g., electronic device 101) may update the group of images stored in the electronic device upon acquisition of a new image.
For example, when the electronic device acquires a new image, the electronic device can automatically extract and / or analyze and store tag information of the image. For example, the electronic device can acquire a new image through a camera, an MTP, a cloud, a download, and the like.
The electronic device may include the image in the stored image group if the tag information of the image is compared with the tag information such as the time, location, and the like of the image group previously stored in the electronic device. At this time, the electronic device can automatically update the title of the image group as well as the tag information of the added image. In addition, the electronic device may check the similarity with images not included in the stored image group, and generate a new image group if the image group creation condition is satisfied.
For example, in a case where an image group having the title "in Han River Park" is stored in the electronic device, a newly stored image received through the messenger is a photograph including a face tagged person, If one image corresponds to the time and location information of the photos in the image group, the newly stored image is added to the stored image group, and the title of the stored image group is automatically updated to "in Han River Park with Mike" .
When the electronic device removes the image stored in the electronic device according to a user input, the image group including the image is searched for and the corresponding image is automatically deleted, and the title of the image group including the corresponding image is also currently It can be automatically updated using images of the included image group.
12 is a flowchart of image group creation and update operations in accordance with image acquisition of an electronic device (e.g., electronic device 101) according to various embodiments. Referring to FIG. 12, according to various embodiments, the electronic device may analyze a usage pattern of a user to generate a group of images, and dynamically change the group according to the user pattern. For example, the time interval of taking a picture for each user of the electronic device is different, and the pattern for taking a picture in daily life and traveling abroad may be different. In consideration of this, the electronic device generates a group of images from photographs and updates the generated group of images, so that even if the same or similar photographs are acquired for each of the electronic devices, Lt; / RTI >
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The image group generation condition may be the time information, the image analysis result, the tag information, the condition at the time of generating the image group based on the position information, or the condition combining the two or more conditions at the time of generating the image group.
If at 1270 operation the electronic device determines that it can create the new image group, it can execute 1280 operations, otherwise the operation of the present invention can be terminated.
In 1280 operation, the electronic device may generate a new image group with the images stored in the electronic device along with the acquired image.
In
According to various embodiments, when an electronic device (e.g., electronic device 101) confirms the information of a new image group generated by the addition of the acquired image, the electronic device determines that the information of the identified image group If it is confirmed that the classification condition is satisfied, the new image group can be classified into at least two groups. Alternatively, for example, when the electronic device confirms the information of the new image group generated by the addition of the obtained image, if the electronic device confirms that it corresponds to the designated image group classification condition, , It is possible to generate image groups classified into at least two images in the new image group. The image classification condition may be a case where the number of images corresponding to specific information is equal to or greater than a specified number.
For example, although photos included in a new image group are generated based on place information, at least some of the photos included in the new image group may have first time information and others may have second time information . If the number of the at least some photographs is equal to or greater than a specified number and the number of remaining pictures is equal to or greater than a specified number, the electronic device classifies the photographs included in the new image group into two image groups of place information + time information .
13 is a flowchart of operations for merging groups of images according to the creation of a new image group of an electronic device (e.g., electronic device 101) according to various embodiments. In the existing image group generation method, the image group generation range is determined through image analysis, or, when the image group generation condition is satisfied within the predetermined range, the image group is generated by classifying the images according to the conditions. After that, when the user takes a picture, the photographing and stored photographs in the determined image group creation range are analyzed to again determine the range and create a new image group. On the other hand, in the image group creation method according to the embodiment of FIG. 13, when the user newly photographs a photograph after the image group creation is completed, the electronic device analyzes the photographed photographs and if it meets the generation condition of the existing created image group The photographed photographs can be included in the existing image group. For example, when an image group for a specific place is created and stored, when the electronic device photographed and stored at the specific place, the position information of the photographed photograph corresponds to the position information of the image information, The photographed photograph can be included in the image group for the specific place. Accordingly, the user can experience the effect that the user's lifestyle is logged, and can easily find the user's continuous experience from the past to the present, and important moments, important positions, important persons, and important experiences in each experience have.
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For example, the electronic device may include the images included in the generated image group in the at least one image group, thereby updating the at least one image group.
For example, the electronic device may be configured to include, in addition to the generated image group and the at least one image group, a new image group including images included in the generated image group and images included in the at least one image group. You can create a group of images.
In 1350 operation, the electronic device may generate a new title of the merged image group.
According to the above-described embodiments, when a user of the electronic device travels for four days in Jeju Island in 2013, takes a picture at several places using the electronic device, The user can create an image group related to the travel of Jeju Island with the photographed photographs. Then, when the user travels to Jeju Island in 2015, photographing is performed at various places using the electronic device, and when photographing is performed by meeting Kim again, an existing image group is updated according to the embodiment of FIG. 12, The existing image group can be updated according to the embodiment of FIG. For example, the electronic device updates the image group of the trip to Jeju Island created in 2013 according to a similar experience (trip to Jeju Island) of 2013 and 2015, and the image about the trip to Jeju Island from 2013 to 2015 Groups, and image groups of memories with Kim Yu-na in Jeju-do from 2013 to 2015. In addition, you can continue to maintain the existing image group on the trip to Jeju Island created in 2013, and create a new image group on the trip to Jeju Island in 2015. As described above, according to the continuity of the similarity of categories such as the time at which the photograph was taken, the place where the photograph was taken, and the person included in the photograph, the image group confirms the similarity with the previously stored image group, .
According to various embodiments, the group of images may be grouped into a single condition such as place information, time information, person information, tag information, etc. However, the group of images may be grouped into a single condition such as place + time, place + person, time + person, place + time + Image clustering can be automatically performed based on various complex conditions such as + tag + category, and each condition can be changed dynamically based on image pattern (tag information detected according to image analysis).
For example, if the electronic device stores a group of images related to traveling to Jeju Island in 2013, and photographs are taken using the electronic device while traveling to Jeju Island in 2015, the electronic device is divided into an image group called " The group of images created in 2013 will continue to include images taken in 2015 to update the group of images on the trip to Jeju.
Further, the electronic device can automatically or manually generate another image group with some images in the image group, using the designated image group generation condition, according to the image group information of the stored image group. The designated image group creation condition may be to cause another image group to be created with the specified number or more of images if, for example, the images including at least two identical image information of the image group are the specified number or more.
For example, if an image group for the trip to Jeju Island in 2013 is created in the electronic device, and photographs are taken using electronic devices with Kim Yeon-ah in Jeju Island in 2015, Based image group can be continuously updated and a group of person-based images can be generated in the image group in a dependent manner to create an image group called 'Kim Yeon-ah in Jeju Island'. Thus, the image group can continuously update meaningful (user desired) photographs according to the user's photographic pattern, and can again search for important moments in the updated photographs to create new image groups.
14 is an exemplary view of an image search screen using tag information according to various embodiments. Referring to FIG. 14, a user can search for a meaningful photograph through tag information, which is an image analysis value for creating an image group, and an electronic device (e.g., electronic device 101) You can also create an image group.
The image search screen of FIG. 14 includes tags (My own tags) 1401, person information (with whom) 1403, and time information (when ) 1405,
Items displayed on the image search screen may be dynamically changed and displayed. For example, if the user selects Feb (1413) in the
In addition, the image search screen may include a
Meanwhile, the tag information, which is an image analysis value for generating an image group, is generated by automatically analyzing an image in the electronic device, and can be directly input by a user. In addition, the electronic device can extract various pieces of analysis information from one image, thereby generating a plurality of pieces of image information (tag information). According to the image information, the user can easily confirm the images with similar kinds of images.
15 is an illustration of an image containing a plurality of tag information according to various embodiments. 15, an electronic device (e.g., electronic device 101) may display an image including tag information such as 2014 (1501), Australia (1503), Food (1505) If the user selects tag information labeled
According to various embodiments, the electronic device (electronic device 101) may exclude low-quality images and the like, using image analysis results, when creating an image group, according to a specified sorting rule. For example, the electronic device may exclude overexposed, under-exposed, and / or blurred images (e.g., images with motion blur> = 0.5, under exposure> 0.03).
For example, the electronic device can detect similar similar images (duplicated images) among a plurality of images, and can select an optimal image among the similar images under the following three conditions.
1) Duplicate images include only the best image
The following numerical values are calculated for each of the duplicated images, so that the image with the highest numerical value can be determined as the optimum image.
brightness + contrast + feature point distribution - motion blur - under exposure - over exposure - blur + feature number + out focus blur
For example, the quality of the image can be determined using the first condition and / or the second condition described below, and images of good quality among the plurality of photographs can be confirmed.
For example, using the following first, second, and third conditions, an optimal image among the duplicated images can be determined.
[First Condition] Overall brightness, contrast, and feature point distribution: summed
[Second Condition] A motion blur of a motion picture, a blur of a basic picture, an out focus blur, an under exposure, and an over exposure ): Subtraction
[Third condition] Similarity feature number: sum (total brightness, subject edge detection, sharpness of the part excluding the out focus)
2) If you have more than 5 images of person / animal related images, remove duplicate pictures
3) Determine whether or not to display the image group based on the minimum number of images (not displayed to the user when less than 7)
According to various embodiments, images of an image group generated by applying the above-described sorting rule can be generated as an AGIF file.
According to various embodiments described above, an electronic device (e.g., electronic device 101) may image analyze the pictures stored in the electronic device to determine the meaningful moments, such as snapshots, Photographs can be grouped into one image group, and titles can be generated using image information (tag information) of images included in the image group and displayed together with the photographs. Also, the created image group can be shared and updated in real time.
Referring to FIG. 16A, the electronic device may display a
Referring to FIG. 16B, the electronic device may display a
According to various embodiments, there is provided a method of generating an image group of an electronic device (e.g., electronic device 101), the method comprising: generating a group comprising at least one image; Including the at least one image included in the generated group in a first image group corresponding to the generated group and having a first title; and generating image information of the at least one image included in the generated group , Changing the first title of the first group of images to the second title.
According to various embodiments, the act of creating the group comprising the at least one image comprises: analyzing the at least one image; and if the at least one image is a plurality of images, , And clustering the plurality of images.
According to various embodiments, the method further comprises determining the first image group corresponding to the generated group according to the generated group information, wherein the generated group information includes position information, time information, Image type information, or user input information.
According to various embodiments, the act of including the at least one image included in the generated group in the first group of images may include using at least one of the at least one image included in the first group of images, Determining if there are similar images among the at least one image included in the generated group; and if it is determined that there are similar images, selecting an image of one of the similar images according to a specified condition And an image other than the selected one of the similar images may not be included in the stored image group.
According to various embodiments, the image information of the at least one image included in the generated group may include at least one of position information, time information, image type information, or user input information.
According to various embodiments, the act of changing the first title of the first group of images to the second title may include, in the second title, a designated term corresponding to the at least one piece of information contained in the image information .
According to various embodiments, there is provided an image processing method comprising: generating at least one new image group using the at least one image included in the generated group; and using at least one image information included in the generated new image group And generating a title of the generated new image group.
According to various embodiments, when the at least one image contained in the generated group is a plurality of images, the act of creating the group comprises: using the time information of each of the plurality of images, Identifying at least one peak time interval having a larger number of images than the number of images in the time intervals before and after the time intervals; Determining a first time interval from the closest previous time interval in which the number of images is the designated number of previous time intervals to the nearest subsequent time interval in which the number of images is the predetermined number, And the group including the images included in the first time period It may include a property that motion.
According to various embodiments, when the generated group is a plurality of groups, the act of creating the at least one new image group may include calculating time intervals with forward and backward groups for each of the plurality of groups, A first time interval, which is an average value of the time intervals divided by the short time interval, and a second time interval, which is an average value of the time intervals divided by the long time interval, Calculating a second time interval that is an average value and generating at least one new image group including adjacent ones of the plurality of groups having a time interval shorter than the first time interval.
According to various embodiments, the method may further include generating at least one new image group that includes adjacent groups at a time interval that is less than the second time interval among the plurality of groups.
According to various embodiments, when the at least one image included in the generated group is a plurality of images, the act of creating a group comprising the at least one image may include grouping the plurality of images with the same person Generating at least one group of images for each of the images including the same person by sorting by images, wherein the generating of the at least one new group of images comprises: calculating the number of images included in the at least one group Using the images contained in the at least one group, if the number of images in the at least one group is greater than or equal to the specified number.
According to various embodiments, classifying the plurality of images by images containing the same person may include using at least one of face recognition technology or name tag information.
According to various embodiments, when the number of images included in the at least one group is equal to or greater than a designated number, the display may further include displaying a screen for setting a name tag for a person corresponding to the group.
According to various embodiments, when the at least one image included in the generated group is a plurality of images, the act of creating a group comprising the plurality of images comprises: Generating at least one group of images for each of the images including the same type information by classifying the plurality of images into images, wherein the generating of the at least one new image group comprises: And if the number is greater than or equal to a specified number of images, using the images contained in the at least one group to create at least one new image group.
According to various embodiments, when the at least one image included in the generated group is a plurality of images, the act of creating a group comprising the at least one image may include: And generating at least one group for each of the images including the corresponding position information by classifying the plurality of images by the included images, wherein the operation of generating the at least one new image group comprises: And generating at least one new image group using the images included in the first group if the number of images included in the first group generated according to the first location information is greater than or equal to the designated number of images .
According to various embodiments, the operation of generating the at least one new image group may include: if the number of images included in the second group generated according to the second position information is equal to or greater than the designated number of images, And using the images included in the second group to create the at least one new image group.
According to various embodiments, the operation of generating the at least one new image group may be performed according to the first position information corresponding to a time after the time corresponding to the first group and a time before the time corresponding to the second group And generating the at least one new image group using the images included in the first group, the second group, and the third group if the generated third group is present.
According to various embodiments, the method may further include generating images included in the first image group including the at least one image into an animation graphic interchange format (AGIF) file.
According to various embodiments, using the at least one image information included in the first image group including the at least one image, the first image group including the at least one image is divided into at least two image groups As shown in FIG.
According to various embodiments, the method may further comprise creating a new group of images using images comprising at least two identical image information in the first group of images including the at least one image.
According to various embodiments, there is provided a method of generating an image group of an electronic device (e.g., electronic device 101), said first group of images comprising a first image and a second image, Identifying a first attribute information corresponding to the first image group, the first attribute information including an image and a fourth image; Wherein the first attribute information includes at least one of a first image and a second image, the second attribute information corresponding to the second image group, Generating a third group of images comprising at least one image of at least one of the three images and the fourth image; And displaying images associated with the third image group through a display of the electronic device in association with each other.
According to various embodiments, when the third group of images includes the first image and the second image, the third image, and the fourth image, the first image, the second image, the third image, And generating the title of the third image group using the image and related information of each of the fourth images.
According to various embodiments, if the third image group includes the first image or the second image, the third image, and the fourth image, the first image or the second image included in the third image group 2. The method of claim 1, further comprising generating a title of the third image group using information associated with the second image and information associated with each of the third image and the fourth image, And a third image or a fourth image included in the third image group and the third image or the fourth image included in the third image group if the second image and the third image or the fourth image are included, 4 image using the image information of the first image group and the fourth image group.
According to various embodiments, the first property information includes first location information associated with the first image or the second image, and the second property information includes a second location information associated with the third image or the second image Wherein the act of generating the third group of images comprises: comparing the first place information with the second place information; And performing the generation of the third image group if the result of the comparison satisfies a specified condition.
According to various embodiments, the first property information includes first time information related to the first image or the second image, and the second property information includes a second time information associated with the third image or the second image Wherein the act of generating the third group of images comprises: comparing the first time information with the second time information; And performing the generation of the third image group if the result of the comparison satisfies a specified condition.
According to various embodiments, the first attribute information includes first tag information associated with the first image or the second image, and the second attribute information includes a second tag information associated with the third image or the second image Wherein the generating of the third group of images comprises: comparing the first tag information with the second tag information; And performing the generation of the third image group if the result of the comparison satisfies a specified condition.
According to various embodiments, the first property information includes first object information related to the first image or the second image, and the second property information includes a second object information related to the second image or the second image Wherein the act of generating the third group of images comprises: comparing the first object information and the second object information; And performing the generation of the third image group if the result of the comparison satisfies a specified condition.
According to various embodiments, the first attribute information may include at least one of first location information, first time information, first tag information, and first object information related to the first image or the second image, The second attribute information may include at least one of first location information, first time information, first tag information, and first object information related to the third image or the fourth image.
According to various embodiments, if the electronic device acquires the fifth image and if the acquired fifth image corresponds to third attribute information corresponding to the third image group, 5 < / RTI > image.
According to various embodiments, the method may further include changing the title of the third image group using related information of each of the images included in the third image group.
According to various embodiments, if at least two pieces of information related to the first image included in the third image group and at least two pieces of information related to the third image included in the third image group correspond to each other, 1 image and the fourth image group including the third image.
According to various embodiments, an image of at least one of the first image and the second image included in the third image group and at least one of the third image and the fourth image is converted into an animation figure exchange format (AGIF ; and an animation graphic interchange format) file.
According to various embodiments, the act of associating and displaying the images forming the third group of images includes displaying the photos forming the third group of images in a metro user interface form, at least a portion of the images An album form, or a list form, which are displayed in a superimposed manner. The album type may be configured to display various images of the arrangement and size of the images forming the third image group. For example, the size of each of the images forming the third image group may be set differently. The album form may include text corresponding to images forming the third image group. The list form may be to display images arranged in a line in a specified direction.
The operations of associating and displaying the images forming the third image group with each other may be displayed in various ways, which may indicate that the images forming the third image group are one image group, in addition to the examples described above.
According to various embodiments, a recording medium for generating a group of images of an electronic device (e.g., electronic device 101), said first group of images comprising a first image and a second image, Confirming first attribute information corresponding to the first image group, the third image and the fourth image; Wherein the first attribute information includes at least one of a first image and a second image, the second attribute information corresponding to the second image group, Generating a third group of images comprising at least one image of at least one of the three images and the fourth image; And a program for operating an operation of associating and displaying the photographs forming the third image group through the display of the electronic device.
As used herein, the term "module " includes units comprised of hardware, software, or firmware and may be used interchangeably with terms such as, for example, logic, logic blocks, components, or circuits. A "module" may be an integrally constructed component or a minimum unit or part thereof that performs one or more functions. "Module" may be implemented either mechanically or electronically, for example, by application-specific integrated circuit (ASIC) chips, field-programmable gate arrays (FPGAs) And may include programmable logic devices. At least some of the devices (e.g., modules or functions thereof) or methods (e.g., operations) according to various embodiments may be stored in a computer readable storage medium (e.g., memory 130) . ≪ / RTI > When the instruction is executed by a processor (e.g., processor 120), the processor may perform a function corresponding to the instruction. The computer-readable recording medium may be a hard disk, a floppy disk, a magnetic medium such as a magnetic tape, an optical recording medium such as a CD-ROM, a DVD, a magnetic-optical medium such as a floppy disk, The instructions may include code that is generated by the compiler or code that may be executed by the interpreter. Modules or program modules according to various embodiments may include at least one or more of the components described above Operations that are performed by modules, program modules, or other components, in accordance with various embodiments, may be performed in a sequential, parallel, iterative, or heuristic manner, or at least in part Some operations may be executed in a different order, omitted, or other operations may be added.
Claims (41)
Creating a group comprising at least one image;
Including the at least one image included in the generated group in a first image group corresponding to the generated group and having a first title among at least one image group stored in the electronic device,
And changing the first title of the first group of images to a second title using image information of the at least one image included in the generated group.
Analyzing the at least one image;
And clustering the plurality of images according to a result of the analysis if the at least one image is a plurality of images.
Further comprising: determining the first image group corresponding to the generated group according to the information of the generated group,
The information of the generated group may be,
A time information, an image type information, or a user input information.
Determining, using image analysis, whether there are similar images among at least one image included in the first image group and the at least one image included in the generated group;
Further comprising selecting an image of one of the similar images according to a specified condition if it is determined that the similar images are present,
Wherein an image other than the selected one of the similar images is not included in the stored image group.
Wherein the information includes at least one of location information, time information, image type information, or user input information.
Wherein changing the first title of the first group of images to the second title comprises:
Wherein the second title includes a specified term corresponding to the at least one piece of information included in the image information.
Generating at least one new image group using the at least one image included in the generated group;
And generating a title of the generated new image group using at least one piece of image information included in the generated new image group.
Classifying the plurality of images in a corresponding time interval among the designated time intervals using time information of each of the plurality of images;
Identifying at least one peak time interval having a number of images that is greater than the number of images in the forward and backward time intervals of the time intervals;
Wherein a time interval from the nearest previous time interval in which the number of images is the designated number of the previous time intervals to the nearest subsequent time interval in which the number of images is the predetermined number, An operation of determining a section,
And creating the group of images including the images included in the first time period as the group.
Dividing time intervals of the groups into a short time interval and a long time interval by calculating time intervals with respect to the groups before and after each of the plurality of groups,
Calculating a first time interval which is an average value of the time intervals divided by the short time interval and a second time interval which is an average value of the time intervals divided by the long time interval;
And generating at least one new image group including adjacent groups of the plurality of groups having a time interval shorter than the first time interval.
Further comprising generating at least one new image group that includes adjacent groups at a time interval less than or equal to the second time interval among the plurality of groups.
And grouping the plurality of images by images including the same person to generate at least one group for each image including the same person,
Wherein the act of creating the at least one new image group comprises:
Generating at least one new image group using images contained in the at least one group if the number of images included in the at least one group is greater than or equal to a specified number .
Using face recognition technology or name tag information. ≪ RTI ID = 0.0 > [0002] < / RTI >
And generating at least one group for each image including the same type information by classifying the plurality of images according to images including the same type information,
Wherein the act of creating the at least one new image group comprises:
Creating at least one new image group using images contained in the at least one group if the number of images included in the at least one group is greater than or equal to a specified number of images Way.
Classifying the plurality of images by images including corresponding position information and generating at least one group for each image including the corresponding position information,
Wherein the act of creating the at least one new image group comprises:
And generating at least one new image group using the images included in the first group if the number of images included in the first group generated according to the first position information which is the corresponding position information is greater than or equal to the designated number of images ≪ / RTI >
If the number of images included in the second group generated according to the second position information is greater than or equal to the designated number of images, using the images included in the first group and the second group, ≪ / RTI > further comprising generating an image group of the electronic device.
Wherein the act of creating the at least one new image group comprises:
If there is a third group generated according to the first position information corresponding to a time after the time corresponding to the first group and a time before the time corresponding to the second group, And using the images contained in the third group to create the at least one new image group.
A memory,
A first image group corresponding to the generated group of at least one image group stored in the memory, the first image group having a first title, the first image group having at least one image group included in the generated group, And changing a first title of the first image group to a second title using image information of the at least one image included in the generated group.
Analyzing the at least one image and clustering the plurality of images according to a result of the analysis if the at least one image is a plurality of images.
And determining the first image group corresponding to the generated group according to the generated group information,
The information of the generated group may be,
Location information, time information, image type information, or user input information.
Determining whether there are similar images among at least one image included in the first group of images and the at least one image included in the generated group using image analysis; Selects an image of one of the similar images according to a condition and does not include an image other than the selected one of the similar images in the group of stored images.
Location information, time information, image type information, or user input information.
Wherein,
When the first title of the first group of images is changed to the second title, a specified term corresponding to the at least one piece of information included in the image information is included in the second title.
Generating at least one new image group using the at least one image included in the generated group, and using at least one image information included in the generated new image group, Lt; RTI ID = 0.0 > of: < / RTI >
Wherein the image processing unit classifies the plurality of images into corresponding time intervals of the designated time intervals using the time information of each of the plurality of images, And a peak time interval of the peak time interval is checked from the nearest previous time interval in which the number of images among the previous time intervals is a specified number with respect to the at least one peak time interval, Determining a first time interval up to a time interval, and generating the group including the images included in the first time interval.
Calculating time intervals with the preceding and succeeding groups for each of the plurality of groups, dividing time intervals with respect to the groups into a short time interval and a long time interval,
Calculating a first time interval which is an average value of the time intervals divided by the short time interval and a second time interval which is an average value of the time intervals divided by the long time interval,
And generating at least one new image group comprising adjacent ones of the plurality of groups having time intervals that are equal to or less than the first time interval.
Further comprising generating at least one new image group comprising adjacent groups of the plurality of groups at time intervals less than the second time interval.
Classifying the plurality of images by images including the same person to generate at least one group for each image including the same person,
Generating at least one new image group using images contained in the at least one group if the number of images included in the at least one group is greater than or equal to a specified number.
And classifying the plurality of images by images including the same person using at least one of face recognition technology and name tag information.
Further comprising a display,
Wherein,
Further comprising displaying on the display a screen for setting a name tag for a person corresponding to the group if the number of images included in the at least one group is greater than or equal to a specified number.
The image processing method according to claim 1, further comprising: generating at least one group for each image including the same type information by classifying the plurality of images by images including the same type information, And using the images contained in the at least one group to create at least one new image group.
And generating at least one group for each image including the corresponding position information by classifying the plurality of images according to images including corresponding position information, and generating at least one group based on the first position information, And generating at least one new image group using the images included in the first group if the number of images included in the first group is equal to or greater than the designated number of images.
If the number of images included in the second group generated according to the second position information is greater than or equal to the designated number of images, using the images included in the first group and the second group, ≪ / RTI >
If there is a third group generated according to the first position information corresponding to a time after the time corresponding to the first group and a time before the time corresponding to the second group, And using the images contained in the third group to generate the at least one new image group.
Further comprising generating, as an animation graphic interchange format (AGIF) file, images included in the first image group including the at least one image.
Further comprising classifying the first image group including the at least one image into at least two image groups using at least one image information included in the first image group including the at least one image Lt; / RTI >
Further comprising generating one new image group using images comprising at least two identical image information in the first image group including the at least one image.
Creating a group comprising at least one image;
Including the at least one image included in the generated group in a first image group corresponding to the generated group and having a first title among at least one image group stored in the electronic device,
A program for causing the computer to operate to change the first title of the first image group to the second title using the image information of the at least one image included in the generated group, Recording medium.
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| KR1020160020043A KR20170098113A (en) | 2016-02-19 | 2016-02-19 | Method for creating image group of electronic device and electronic device thereof |
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| KR1020160020043A KR20170098113A (en) | 2016-02-19 | 2016-02-19 | Method for creating image group of electronic device and electronic device thereof |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108521422A (en) * | 2018-04-09 | 2018-09-11 | 四川超影科技有限公司 | Common communication protocol based on intelligent inspection robot |
| CN108888892A (en) * | 2018-05-25 | 2018-11-27 | 石家庄学院 | Fire protection patrol method, fire-fightingl patrol-checking device and electronic equipment |
| CN109813480A (en) * | 2019-03-22 | 2019-05-28 | 陈利娟 | A kind of monitoring of construction status cloud and pressure relieving system based on Internet of Things |
| US11132398B2 (en) | 2018-12-05 | 2021-09-28 | Samsung Electronics Co., Ltd. | Electronic device for generating video comprising character and method thereof |
-
2016
- 2016-02-19 KR KR1020160020043A patent/KR20170098113A/en unknown
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108521422A (en) * | 2018-04-09 | 2018-09-11 | 四川超影科技有限公司 | Common communication protocol based on intelligent inspection robot |
| CN108888892A (en) * | 2018-05-25 | 2018-11-27 | 石家庄学院 | Fire protection patrol method, fire-fightingl patrol-checking device and electronic equipment |
| US11132398B2 (en) | 2018-12-05 | 2021-09-28 | Samsung Electronics Co., Ltd. | Electronic device for generating video comprising character and method thereof |
| US11531702B2 (en) | 2018-12-05 | 2022-12-20 | Samsung Electronics Co., Ltd. | Electronic device for generating video comprising character and method thereof |
| CN109813480A (en) * | 2019-03-22 | 2019-05-28 | 陈利娟 | A kind of monitoring of construction status cloud and pressure relieving system based on Internet of Things |
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