TWI655552B - Fast image sorting method - Google Patents

Abstract

The present invention relates to a fast image sorting method, which only needs to select a plurality of captured image information and a plurality of captured image information in the device, and can define a moving path according to the same, and search for a distance moving path in a database. A sample image of a predetermined range of shooting information, and the next shooting positioning information is used to repeat the search of the sample image until the next shooting positioning information is not transmitted, and then the sample image of the search result is transmitted back to the original device. The sorted images of the plurality of captured images are arranged around the image so that the user can visually view the image content and select the sort into which the original plural image is inserted. Therefore, the present invention does not need to output the image content of the external image, and only according to the captured image information of the device and the sorting thereof, the image can be searched and returned for editing, and the speed of the image arrangement and the richness of the image content can be improved, and at the same time, Avoid the leakage of image content.

Description

Fast image sorting method

The invention relates to a method for processing image data, in particular to a fast image sorting method for automatically assisting editing of personalized images by performing image search on an external device and returning the device.

With the rapid development of technology, various electronic products with photography functions have gradually become popular. Even in general communication mobile devices, almost all of them have built-in photography functions, and most of the current photography devices have a positioning service function. Therefore, while shooting the image, the positioning information of the shooting point can also be saved, providing the user to take a trip to the scene to capture the scenery, save the memories during the trip, and better remember the travel by using the built-in positioning information. The location where the image was taken.

After the tour, many users will organize the captured images, arrange the images taken in the tour, and then integrate them into a film to be used as a travel documentary. For example, many mobile APPs (such as Facebook, Inc. designed Moments, Go Pro Inc designed Quick, etc.) allow consumers to directly select files in the phone for quick editing and integration into a video file, but if the image data is too small, use In order to make the content of the film more abundant, most users will choose to manually search for relevant images manually, insert images captured in the tour for editing, and then manually sort the images, but manually search for external images and arrange images of internal and external devices. Quite time consuming. Moreover, the handheld device is small in size and small in screen, and accurate searching and comparison on a small screen is an important issue. The current practice is to import all external files and sort them by time, location point, file name or specific tag information, which is troublesome and troublesome for handheld devices.

In view of this, how to enrich and quickly output images and preserve image privacy is a very important part for users. The present invention proposes a fast image sorting method to effectively solve the above-mentioned shortcomings of the prior art. Overcome the above problems.

The main purpose of the present invention is to provide a fast image sorting method, which does not need to capture the image content of the image, and selects only the Exchangeable image file format (EXIF) information and multiple shots of the plurality of captured images according to the device. Image sorting and searching for related images in an external database to enrich the content of the video produced by the individual, which can effectively save the user's complicated image editing time, and the file of the format information can be exchanged to reduce the total image transmission. The amount, while avoiding the user's image screen leakage.

Another object of the present invention is to provide a fast image sorting method, which can automatically filter out an aerial image of a corresponding location according to the positioning information in the exchangeable image format information, and return it to the appropriate shooting image position. It is convenient for the user to select and sort the multiple images to make the images richer and make the integrated content more smooth in the rendered content.

To achieve the above object, the present invention provides a fast image sorting method, the method comprising: first, selecting, in the device, each captured image information in the plurality of captured images, and sorting the plurality of captured image information. Then, according to the order of the plurality of captured image information, a moving path is defined, and then the first shooting positioning information in the moving path is captured, and it is determined whether the shooting image information has a shooting positioning information, and if not, the next shooting image information is captured. And returning to the step of determining whether the captured image information has a shooting positioning information; but if so, capturing the shooting positioning information and proceeding to the next step; searching within the database for a predetermined range of the shooting positioning information, Having at least one sample image, if not, taking the next captured image information and reverting to the step of determining whether the captured image information has a shooting positioning information; but if so, capturing the sample image so that the sample image is adjacent to the shooting Image information, and proceed to the next step to determine whether there is next image information, and if so, capture the next captured image information and return to the step of determining whether the captured image information has a shooting positioning information; if not, then Returning the sequenced image after sorting and sorting information and sample images of the captured image information Device, and displayed on the display device of the example video interface located outside a plurality of image capturing, for the user to select a visual comparison of the sample image into a plurality of corresponding imaging to facilitate subsequent integration made into a film between the images. Therefore, the present invention does not need to output the image content of the external image, and only according to the order of the captured image information of the device and the plurality of captured image information, the external device can be searched for images and returned for programming, and the speed of image arrangement can be improved. And the richness of the image content, while avoiding the leakage of the image content.

After capturing the sample image and making the sample image adjacent to the step of capturing the image information, the method further includes comparing the sample time information and the shooting time information to capture a sample image of the predetermined time from the shooting time information, and then Including the sample size information and the shooting size information to capture the sample image that meets the shooting size information, and then based on the sampled positioning information of the sample image to determine whether the sample image falls into each shooting positioning information and the next shooting. The distance between the two points of the positioning information is the diameter, and in the range of a circle generated, if not, the circle range closest to the sample image is selected, and the sample image is inserted between the two shot positioning information that produces the close circle range; but if so, Enter the example positioning information according to the sample image to determine whether the sample image falls into another circle range. If yes, select the circle range of the sample image closest to the center of the circle range, and insert the sample image into the two-shot positioning information that generates the circle range. Between; but if not, select the range of the circle into which the sample image falls, and the example Insertion image captured positioning information between two round pen falls range.

After capturing the sample image and making the sample image adjacent to the step of capturing the image information, the method further includes subtracting the shooting and positioning information of each captured image information one by one in the moving path, so that the shooting information of each captured image information is positioned. When the information is subtracted, a distance information is generated. When the distance information of the second positioning information is less than a geographical distance value, it is classified into the same range group. Then, according to the shooting and positioning information of the captured image information, the highest-level captured image information is selected in the same range group, and the shooting positioning information is added with a height preset value to become an aerial image threshold value. Comparing the example positioning information of the sample image in the same range group and the image threshold of the aerial image, when the sample positioning information of the sample image is higher than the threshold of the aerial image, the sample image is sorted into the shooting within the range group. The front of the image information is sorted.

The purpose, technical content, features and effects achieved by the present invention will be more readily understood by the detailed description of the embodiments.

The invention does not need to use the image file in the image, and only uses the text file in the image, such as positioning information, shooting time and image size, etc., can perform image search on the external device, and return the automatic editing of the device. Play videos of personalized images.

The fast image sorting method of the present invention is a computer program loadable via an electronic device. Referring first to the first figure, the system architecture applied to the fast image sorting method of the present embodiment is described in detail. As shown in the first figure, which is a system architecture diagram of the present invention, the fast image sorting system 1 includes an image capturing device 10, and A terminal 20, the terminal 20 includes a processor 22 and a database 24, and the data transfer between the image capturing device 10 and the terminal 20 can be performed in a wired or wireless manner. The image capturing device 10 can be a computer with access to image function, or a smart phone with photography function, or a smart tablet with photography function, or an electronic device capable of image capturing and computing functions at the same time. For example, the image capture device 10 is a smart phone, and the captured image captured by the image capture device 10 may include captured image information, which is an Exchangeable image file format (EXIF) information. The data includes shooting location information, shooting time information, and shooting size information. The shooting positioning information is calculated by the Global Positioning System (GPS) or the People's Republic of China Beidou satellite navigation positioning system signal, which provides the Earth's latitude and longitude. Information such as coordinates and altitude, shooting time information is the current date and time when shooting images, and the shooting size information is the size of the captured image, which is the aspect ratio of the general image. Shoot the pixels in the image information to determine the length of the image Size ratio, or the image size information is determined directly from the ratio of the length and width dimensions of the image.

In the following, the terminal device 20 can be a network computer host, a cloud server, or an application server, and the device can perform a large number of complex computing functions. In this embodiment, the terminal device 20 is a network. The computer host, the processor 22 in the terminal 20 can be used for data processing, and the database 24 can be used to store a plurality of sample images. The image described in this embodiment refers to a movie or a picture, wherein the sample image can be an aerial camera. Empty shots, time-lapse photography, large-angle panoramic images, beautiful pictures, post-production modified pictures, even hand-drawn pictures or wonderful images of concerts, sports events, etc., and each sample image in the database 24 Including sample image information, which is an Exchangeable image file format (EXIF) information or manual programming to meet the format content of the EXIF definition. The sample image information includes sample positioning information and sample time information. And sample size information, where the example positioning information is through Global Positioning System (GPS) or Chinese The Republic of the Republic's Beidou satellite navigation and positioning system signal calculation, which can provide information such as the Earth's latitude and longitude coordinates and altitude, the sample time information is the current date and time when the sample image is taken, and the sample size information is the size of the sample image. For the aspect ratio of the general image, the embodiment can determine the aspect ratio of the film from the pixels in the captured image information, or determine the aspect ratio of the image by the image size information. Furthermore, the sample image can be a picture or a movie, but the general video does not contain the positioning information of the EXIF information, and the video and the picture cannot be sorted at this time, and then the picture of one of the multiple pictures in the picture is required to be made. It is a representative image and sets the positioning information representing the image to become the example positioning information in the sample image information.

After the structure applied by the fast image sorting method is explained, the method flow of the present invention will be described in detail below. Please refer to the first figure and the second figure. First, the process proceeds to step S10, and after the image capturing device 10 captures a plurality of captured images, the image capturing information of the plurality of captured images and the plurality of captured image information to be arranged can be transmitted to the terminal 20 to make the terminal 20 The processor 22 captures the information of the plurality of captured image information and the plurality of captured image information. Since the image capturing device 10 only transmits the captured image information and the sorting of the captured image information to the processor 22, the captured image information includes only the text message, and Since the image information is included, the file transferred is small, the transfer rate and the processing efficiency of the processor 22 can be greatly improved, and the image image of the captured image can be prevented from leaking to the system other than the image capturing device 10.

Then, proceeding to step S12 and referring to the third A picture, the processor 22 can define a moving path 30 according to the order of the plurality of captured image information. In this embodiment, the moving path 30 is moved from left to right, so the leftmost The captured image information 34 is set as the first captured image information 34. Then, proceeding to step S14, capturing the first shot image information 34 in the movement path 30, and proceeding to step S16 to determine whether there is a shooting positioning information in the captured image information, and if not, proceeding to step S18 to capture the next captured image. The information 36 is returned to step S16 to determine whether there is a shooting positioning information in the captured image information; otherwise, if the determination in step S16 is YES, the process proceeds to step S20 to capture the shooting positioning information, and proceeds to the next step S22. In the third A diagram, the processor 22 searches the database 24 for a predetermined range 32 of the first captured image information 34, for example, within 200 meters, based on the shooting positioning information of the first captured image information 34 (this is only The setting value can be set by the user according to the rigor of the search rigor. If there is at least one sample image, in detail, the processor 22 will locate the information according to the shooting positioning information of the captured image information 34 and the sample image information of the sample image. , determining whether there is a sample image within a predetermined range from the first captured image information 34, and if not, indicating the first image positioning If the sample image is not searched within the predetermined range of information 34, the process proceeds to step S24, and the next captured image information 36 is retrieved, and the process returns to step S16 to continue to determine whether the next captured image information 36 has the shooting location information. On the other hand, if there is a search for the sample image within a predetermined range 32, the process proceeds to step S26, and at least one sample image that meets the condition is captured, and the sample image is adjacent to the captured image information.

Please continue to refer to the second figure and the third A picture. In the embodiment, when the step S16 is performed, the processor 22 does not search for the shooting positioning information in the first shot image information 34, so the process proceeds to step S18, and the second step is taken. The pen captures the image information 36, and proceeds to step S16 to determine whether the captured image information 36 of the second pen has the shooting positioning information. In this embodiment, for example, if the shooting positioning information is searched, the process proceeds to step S20 to capture the second shooting image. The shooting location information of the information 36 is sent to the step S22, and the processor 22 searches the database 24 for a predetermined range of the second captured image information 36 according to the shooting positioning information, and has at least one sample image. For example, three sample images 50, 52, and 54 are searched in the predetermined range 33, so the process directly proceeds to step S26, and the processor 22 retrieves the qualified sample images 50, 52, and 54 from the database 24, and makes the sample image 50 52, 54 are adjacent to the captured image information 36.

Referring to the first to second, third, third, third, third, and fourth figures, in step S26, the qualified example image 50 is captured. After 52 and 54, the processor 22 can further determine whether the sample images 50, 52, and 54 are consistent with the shooting time and image size of the second captured image information 36. In detail, first proceeding to step S261, the processor 22 compares the sample time information of the sample image information of the sample images 50, 52, 54 and the shooting time information of the captured image information to capture a predetermined time of the distance shooting time information. For example, in general tourist attractions, the user can use the preference setting to allow the processor 22 to filter out the sample images 30 days before and after the shooting time information, so that the image of the sample image does not differ from the scene change of the captured image. Too many, if it is a concert, a wonderful shot of a sports event, the user can use the preference setting to let the processor 22 filter out the sample image within 1 minute before and after the shooting time information (this is only the set value, the user can set it himself). , so that the image of the sample image and the content of the captured image are close to the user's shooting time. After screening the sample images 50, 52, and 54 that are suitable for the time, proceeding to step S262, comparing the sample size information and the shooting size information (the user can turn off the function according to the search stringency requirement) to select the corresponding shooting. Sample image of size information.

After selecting the appropriate sample images 50, 52, and 54 by using the position, time, and size, you can first use the example positioning information of the sample images 50, 52, and 54 to coordinate the latitude and longitude in the shooting and positioning information, and sequence the images. Sort. First, please refer to the third A picture. Each shooting positioning information and the next shooting positioning information are diameters of two points, and a plurality of points are generated by the middle point of the distance between the shooting positioning information and the next shooting positioning information. The circular range, for example, the captured image information 34 and the next captured image information 36, can produce a circle range of 40, and the captured image information 36 and the next captured image information 38 produce a circle range 42 and so on. Next, please refer to step S263 and the third A picture in detail to explain in detail how the example positioning information and the shooting positioning information are coordinated according to the latitude and longitude coordinate, and the order of the images is sorted. First, the process proceeds to step S263, where the processor 22 captures After the sample images 50, 52, and 54 are further determined according to the example positioning information of the sample image, it is determined whether the sample images 50, 52, 54 fall into any circle range 40, 42. If not, the sample image does not fall into any circle range. 40, 42, as in the example image 50, proceeds to step S264, selects the circle range 40 closest to the sample image 50, and inserts the sample image 50 between the two shot image information 34, 36 that produces the closest circle range 40, And proceeding to the next step S28; but if the sample image falls within the circle range 40, such as the example images 52, 54, then proceeds to the next step S265 to determine whether the sample images 52, 54 fall into another circle range 42 at the same time. If it falls into the two circle ranges 40, 42 at the same time, as in the example image 52, the process proceeds to step S266, and the circle range 42 of the center image 422 of the sample image 52 closest to the circle range 42 is selected, and the sample image is taken. 52 is inserted between the two-shot image information 36, 38 which produces the circle range 42, and proceeds to the next step S28; but if not, the sample image only falls into a circle range 40, such as the example image 54, then proceeds to step S267, The circle range 40 in which the sample image 54 falls is selected, and the sample image 54 is inserted between the two shot image information 34, 36 which produces the circle range 40 that falls, and proceeds to the next step S28.

The result of arranging the sample images 50, 52, and 54 according to the step S263 to the step S267 is as shown in the third B or the third C. However, after the position is arranged according to the latitude and longitude, the embodiment proceeds to step S28. The positioning information and the altitude in the example positioning information are captured, and the sample images 50, 52, 54 and the shooting positioning information are rearranged as follows. In the moving path 30, each adjacent captured image information is captured one by one. When the positioning information is subtracted, a distance information is generated when the shooting positioning information of each shooting image information is subtracted, and when the distance information of the second positioning information is less than a geographical distance value, it is classified into the same range group. Please refer to the third A picture. First, the captured image information 36 is taken as an example, which can be subtracted from the shooting positioning information of the captured image information 34 to generate a distance information, and then it is determined whether the distance information is smaller than a predetermined geographical distance. The value is less than a geographic distance value, and is classified into the same range group. In this embodiment, the distance information of the shooting location information of the captured image information 36 and the shooting positioning information of the captured image information 34 is less than a geographic distance value. The distance information of the shooting location information of the shooting image information 38 and the shooting positioning information of the shooting image information 36 is also smaller than a geographical distance value (the geographical distance value is only a set value, and the user can set it by himself, because the scenes of the open location are roughly The president is consistent, so generally the predetermined geographical distance value set in the open grassland area will generally be equal to or greater than the urban street. For example, the open geographical area, such as the predetermined geographical distance value of the Selim Lake area in Xinjiang, China, may be Set to 1000 meters, and the urban street, such as the Urumqi city of Xinjiang, China, is set to a geographic distance value, set to a radius of 500. The distance information of the shooting positioning information of the shooting image information 39 and the shooting positioning information of the shooting image information 38 is greater than a geographical distance value, so the shooting image information 36 and the shooting image information 34, 38 are in the same range group, shooting The image information 39 is not in the same range group. Then, the shooting image information 34, 36, 38 in the same range group is photographed in the positioning information to find a person with the highest altitude plus a height preset value, such as 6 meters, and the reason for setting 6 meters. That is, 6 meters is a person's height of about 2 meters, plus the self-timer height of 1 meter, plus the device measures the altitude measurement error of 3 meters cumulative height, so 6 meters as the height preset The value, which is only the set value, can be set by the user to make it become the aerial image threshold of the range group, and the airborne image threshold value is compared according to the altitude in the example image 50, 52, 54 example positioning information. If the altitude of the sample positioning information of the sample image is not higher than the threshold of the aerial image, the sample image is maintained in the same order for the captured image information in the range group, and the arranged result is still as shown in the third B chart. As shown in the figure or the third C diagram, the order of the movement path 30 according to the present embodiment is viewed from the left and the right, and its ordering is: 34 à 54 à 50 à 36 à 52 à 38 à 39 or 34 à 50 à 54 à 36 à 52 à 38 à 39. However, if only the altitude in the example positioning information of the sample image 50 is higher than the group aerial image threshold in the range, the sample image 50 is fine-tuned to the shooting image information in the range group, and the arranged As a result, as shown in the third D diagram, the order of the movement path 30 according to the present embodiment is viewed from the left and the right, and its order is: 50 à 34 à 54 à 36 à 52 à 38 à 39.

After the height arrangement is completed, the process proceeds to step S30 to determine whether there is a next shot image information. If so, the process proceeds to step S32, the processor 22 captures the next shot image information, and returns to step S16 to repeat the example effect. The action of taking, comparing, and sorting; but if not, the processor 22 does not find the next captured image information, then proceeds to step S34 and cooperates with reference to the fifth A, fifth B, and fifth C, and the processor 22 The sorted sample image and the sequence information of the captured image information and the sample image are transmitted to the image capturing device 10, so that the image capturing device 10 displays the captured image and then adds the sample image, and the sample image is corresponding to the sample image according to the position of the previous arrangement order. The position of the image is arranged around the image, such as the bottom of the captured image, to provide a sample image for the user to select whether to use the screen in the image capturing device 10. If so, the order of the original image is directly inserted into the image. Inside, it becomes an image sequence, and finally the selected sample image can be outputted into an integrated image with the original complex image. Piece.

Please refer to the first figure and the fifth Ath to fifth C pictures to illustrate the operation interface seen by the user end. Please refer to the first picture and the fifth picture A. When the user operates the image capturing device 10, the user can select the shooting image of the shooting image to be made into a movie by the user interface, and then send the shooting image information of the shooting image after completion. The sorted image information is sorted into the processor 22 of the terminal 20. Referring to the first and fifth B, the processor 22 can search for the sample image according to the method of the present invention to transfer the sample image back to the image capturing device 10 held by the user, and sort according to the above. The sample images are arranged at the bottom between the corresponding captured images, and whether the user can use the arrangement position in the image capturing device 10 is provided, and if so, the arrangement position is used to directly insert into the order of the original plurality of captured images. Finally, please refer to the fifth C picture, the user chooses to insert a sample image between the captured images to output into an integrated film in this order. The area of the sample image displayed by the display interface of the image capturing device 10 is further selected or swiped to list more sample images that meet the screening conditions for the user to click.

In addition, of course, the present invention can also directly load the computer program of the fast image sorting method of the present invention in the processor of the image capturing apparatus 10 itself, and the processor can search the sample image of the external database and load it to directly The processor of the image capture device 10 itself performs a sorting operation of the sample image, and finally displays a sample image that matches the search condition directly on the screen of the image capture device. However, in this embodiment, the image capturing device 10 transmits the captured image information to the remote terminal device 20 for searching and sorting the sample images, which is merely for the description of the embodiments, and is not intended to limit the technology of the present invention.

In summary, the present invention does not need to capture an image of an image, and only sorts the image according to the Exchangeable image file format (EXIF) information of the image, and automatically searches for related images to enrich the image. The content of the video produced by the individual can effectively save the user's complicated image editing time, and the file with the format information of the image file can be exchanged, which can improve the speed of image editing and avoid the leakage of the user's image. According to the positioning information in the exchangeable image format information, the present invention automatically screens the photos of the aerial photos of the corresponding places, and inserts the appropriate image sorting to make the images more abundant.

The above is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention. Therefore, any changes or modifications of the features and spirits of the present invention should be included in the scope of the present invention.

1‧‧‧fast image sorting system

10‧‧‧Image capture device

20‧‧‧ Terminal

22‧‧‧ Processor

24‧‧‧Database

30‧‧‧Moving path

32‧‧‧Predetermined range

33‧‧‧Predetermined range

34‧‧‧Photographing information

36‧‧‧Photographing information

38‧‧‧Photographing information

39‧‧‧Photographing information

40‧‧‧ round range

402‧‧‧ Center

42‧‧‧round range

422‧‧‧ Center

50‧‧‧ sample image

52‧‧‧sample image

54‧‧‧sample image

The first figure is a block diagram of the system used in the present invention. The second figure is a flow chart of the steps of the present invention. The third to third D diagrams are schematic diagrams of the movement path of the present invention. The fourth figure is a flow chart of the detailed steps of the screening example image of the present invention. The fifth to fifth C diagrams are schematic diagrams of the interface of the image taking device used in the present invention.

Claims (9)

A fast image sorting method is a computer program flow. The fast image sorting method comprises the following steps: (A) the computer program captures each captured image information of a plurality of captured images in a device, and the captured image information (B) the computer program defines a moving path according to the order of the captured image information; (C) the computer program captures the first captured image information in the moving path; (D) the computer program determines the Whether there is a shooting positioning information in the shooting image information: (D1) If no, select the next shooting image information and return to step (D); and (D2) if yes, capture the shooting positioning information and enter The next step (E); (E) the computer program searches for a sample image in a predetermined range of the shooting location information in a database, wherein the sample image further includes a sample image information, and The sample image information includes an example positioning information: (E1) if no, the next captured image information is retrieved and returned to step (D); and (E2) if yes, the sample image is captured and the sample is taken The image is adjacent to the captured image information, and proceeds to the next step (F); (F) the computer program determines whether the next captured image information is: (F1) If yes, the next captured image information is captured, and Returning to step (D); and (F2) if no, the sorting of the sample images inserted into the sequence of the captured image information is returned to the device. The fast image sorting method of claim 1, wherein each of the captured image information further includes a shooting time information, the example image information further includes an example time information, and after the step (E2), the step (E21) is further included. , the computer program is better than the sample time information and The shooting time information is used to capture the sample image for a predetermined time from the shooting time information. The fast image sorting method of claim 1, wherein each of the captured image information further includes a shooting size information, wherein the sample image information further includes an example size information, and after the step (E2), the step (E22) is further included. The computer program compares the sample size information with the shooting size information to capture the sample image that meets the shooting size information. The fast image sorting method of claim 1, wherein after the step (E2), the method further comprises the step (E23): (E231) the computer program determines whether the sample image falls according to the example positioning information of the sample image. The distance between each of the shooting positioning information and the next shooting positioning information is in a circle range generated by the diameter: if not, the circle range closest to the sample image is selected, and the sample image is inserted to produce the closest circle. The two spheres of the circle are between the positioning information and proceed to step (F); and if so, proceed to the next step (E232); and (E232) the computer program determines the positioning information according to the example image of the sample image Whether the sample image falls into another circle range at the same time: if yes, select the circle range of the sample image closest to the center of the circle range, and insert the sample image into the two shot positioning information that generates the circle range. And proceeds to step (F); and if not, selects the circle range into which the sample image falls, and inserts the sample image between the two shots of the circled range And go to step (F). The fast image sorting method of claim 1, wherein the sample image is captured in step (E2) And after the step of causing the sample image to be adjacent to the captured image information, further comprising the step (E24): (E241) the computer program sequentially records each of the adjacent captured image information in the moving path The positioning information is subtracted so that when the shooting positioning information of each of the captured image information is subtracted, a distance information is generated. When the distance information of the shooting positioning information is less than a geographical distance value, the information is classified into the same range group. (E242) the computer program selects the highest-captured image information in the same range group according to the shooting positioning information of the captured image information, and adds a height preset value to the shooting positioning information to (E243) the computer program compares the sample positioning information of the sample image in the same group of the same range and the threshold value of the aerial image, when the sample positioning information of the sample image is higher than the empty When the image threshold is taken, the sample image is sorted in front of the sequence of the captured image information in the range group. The fast image sorting method according to claim 1, wherein after the step (F2), the computer program further displays the sample image on the display interface of the device at a periphery of the captured image for a user to select the sample image. Insert between the corresponding captured images. The fast image sorting method of claim 6, wherein the area of the sample image displayed by the display interface of the device is further selectable or slid by the user to list more sample images that meet the search condition. The fast image sorting method according to claim 1, wherein when the sample image is a movie, the computer program can select one of the videos in the movie to become a representative image, and set the positioning information of the representative image to become The example positioning information in the sample image information. The fast image sorting method according to claim 6, wherein the sample image insertion pair is selected An integrated film can be produced after the images are taken.