CN113691729B - Image processing method and device - Google Patents
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- CN113691729B CN113691729B CN202110997327.0A CN202110997327A CN113691729B CN 113691729 B CN113691729 B CN 113691729B CN 202110997327 A CN202110997327 A CN 202110997327A CN 113691729 B CN113691729 B CN 113691729B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/7243—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages
- H04M1/72439—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality with interactive means for internal management of messages for image or video messaging
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The application discloses an image processing method and device, and belongs to the technical field of information processing. The method comprises the following steps: receiving a target video sent by a first terminal, wherein the target video is synthesized by a to-be-processed image of the first terminal, and the to-be-processed image is associated with corresponding image attribute information; editing an image to be processed in the target video under the condition of playing the target video; converting the edited target video into a target image, and analyzing image attribute information corresponding to the target image; and sorting the target image and the local image based on the image attribute information.
Description
Technical Field
The application belongs to the technical field of information processing, and particularly relates to an image processing method and device.
Background
In order to compare the effect of shooting images by different mobile phones, the images need to be migrated to a target mobile phone for image comparison. When the number of the compared images is large, the images need to be imported and exported for many times, the operation process is complex, the consumed time is long, and the user experience is poor.
Disclosure of Invention
The embodiment of the application aims to provide an image processing method and device, which can solve the problem of complicated operation process in the process of comparing the image shooting effects of different terminals.
In a first aspect, an embodiment of the present application provides an image processing method, including:
receiving a target video sent by a first terminal, wherein the target video is synthesized by a to-be-processed image of the first terminal, and the to-be-processed image is associated with corresponding image attribute information;
editing an image to be processed in the target video under the condition of playing the target video;
converting the edited target video into a target image, and analyzing image attribute information corresponding to the target image;
and sorting the target image and the local image based on the image attribute information.
In a second aspect, an embodiment of the present application provides an image processing method, including:
synthesizing the image set to be processed into a target video, and sending the target video to a second terminal;
the image to be processed set comprises the image to be processed and image attribute information corresponding to the image to be processed.
In a third aspect, an embodiment of the present application provides an image processing apparatus, including:
the first receiving module is used for receiving a target video sent by a first terminal, wherein the target video is synthesized by images to be processed of the first terminal, and the images to be processed are associated with corresponding image attribute information;
The editing module is used for editing the image to be processed in the target video under the condition of playing the target video;
the conversion module is used for converting the edited target video into a target image and analyzing image attribute information corresponding to the target image;
and the ordering module is used for ordering the target image and the local image based on the image attribute information.
In a fourth aspect, an embodiment of the present application provides an image processing apparatus, including:
the synthesis module is used for synthesizing the image set to be processed into a target video and sending the target video to the second terminal;
the image to be processed set comprises the image to be processed and image attribute information corresponding to the image to be processed.
In a fifth aspect, an embodiment of the present application provides an electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, the program or instruction implementing the steps of the method according to the first or second aspect when executed by the processor.
In a sixth aspect, embodiments of the present application provide a readable storage medium having stored thereon a program or instructions which when executed by a processor implement the steps of the method according to the first or second aspect.
In a seventh aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and where the processor is configured to execute a program or instructions to implement a method according to the first aspect or the second aspect.
In the embodiment of the application, the first terminal receives the target video, so that the image can be quickly transmitted, and the image transmission process can be simplified; editing the image to be processed in the process of playing the target video, so that the flexibility of image processing can be improved; and converting the edited target video into a target image, analyzing image attribute information corresponding to the target image, and sequencing the target image and the local image based on the image attribute information, so that a user can conveniently determine the image sequence according to the requirement, the user can conveniently compare the images, and the user experience is improved.
Drawings
FIG. 1 is a schematic flow chart of an image processing method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a target video display interface to which an image processing method according to an embodiment of the present application is applied;
FIG. 3 is a schematic diagram of similar image ordering applying the image processing method according to the embodiment of the present application;
FIG. 4 is a second flowchart of an image processing method according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an image processing apparatus according to an embodiment of the present application;
FIG. 6 is a second schematic diagram of an image processing apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device implementing an embodiment of the present application;
fig. 8 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.
Detailed Description
The technical solutions of the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which are obtained by a person skilled in the art based on the embodiments of the present application, fall within the scope of protection of the present application.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type, and are not limited to the number of objects, such as the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
The image processing method and device provided by the embodiment of the application are described in detail below through specific embodiments and application scenes thereof with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of an image processing method according to an embodiment of the present application. Referring to fig. 1, an embodiment of the present application provides an image processing method, which may include:
step 110, receiving a target video sent by a first terminal, wherein the target video is synthesized by a to-be-processed image of the first terminal, and the to-be-processed image is associated with corresponding image attribute information;
step 120, editing an image to be processed in the target video under the condition of playing the target video;
step 130, converting the edited target video into a target image, and analyzing image attribute information corresponding to the target image;
and step 140, sorting the target image and the local image based on the image attribute information.
The execution subject of the image processing method provided by the application can be an electronic device, a component in the electronic device, an integrated circuit, or a chip. The electronic device may be a mobile electronic device or a non-mobile electronic device. By way of example, the mobile electronic device may be a terminal, such as a cell phone, tablet, notebook, palmtop, vehicle mounted electronic device, wearable device, ultra-mobile personal computer (UMPC), netbook or personal digital assistant (personal digital assistant, PDA), etc., and the non-mobile electronic device may be a server, network attached storage (Network Attached Storage, NAS), personal computer (personal computer, PC), etc., the application is not limited in particular.
The technical scheme of the application is described in detail below by taking an example that the terminal executes the image processing method provided by the application.
Optionally, in step 110, the second terminal receives the target video sent by the first terminal. The second terminal may be of the same terminal type as the first terminal. For example: the second terminal and the first terminal are mobile phones. When the first mobile phone and the second mobile phone establish communication connection, the first mobile phone sends the manufactured target video to the second mobile phone through a chat tool, wi-Fi connection or Bluetooth and other mutual transmission tools.
The target video is a video synthesized by the images to be processed in the first terminal and comprises image attribute information corresponding to the images to be processed.
Optionally, in step 120, after receiving the target video, the second terminal may edit the image to be processed in the target video when playing the target video according to the user's requirement. Each frame of image of the target video corresponds to one image to be processed, the display time length of each image to be processed in the target video can be preset, and the video time length of the target video can be determined by accumulating the display time lengths of all the images to be processed. As shown in fig. 2, the image to be processed of the current display interface of the target video is picture 1. When playing the target video, the required image can be selected to be saved, and the unnecessary image can be deleted. After editing the target video is completed, the target image remaining in the target video may be determined.
Optionally, in step 130, the second terminal converts the target video, acquires the target image and the image attribute information corresponding to the target image, and then embeds the image attribute information in the target image. And finally, storing the target image and the corresponding image attribute information in the second terminal, and displaying the target image to correspond to the image attribute information.
Optionally, in step 140, the second terminal may rank together the target image and the local image of the image attribute information having the same feature according to the image attribute information, or may rank all the target images and the local images integrally based on the image attribute information.
According to the image processing method provided by the embodiment of the application, the first terminal receives the target video, so that the image can be quickly transmitted, and the image transmission process can be simplified; editing the image to be processed in the process of playing the target video, so that the flexibility of image processing can be improved; and converting the edited target video into a target image, analyzing image attribute information corresponding to the target image, and sequencing the target image and the local image based on the image attribute information, so that a user can conveniently determine the image sequence according to the requirement, the user can conveniently compare the images, and the user experience is improved.
In one embodiment, the sorting the target image and the local image based on the image attribute information includes:
sorting the target image and the local image based on preset conditions;
the preset conditions include at least one of the following:
the image similarity of the target image and the local image is larger than a first preset threshold value;
the shooting time difference value of the target image and the local image is smaller than a second preset threshold value;
wherein the image similarity and the photographing time difference value are determined based on the image attribute information.
Alternatively, the image similarity between images and the photographing time difference value may be determined according to the image attribute information, so that the preset condition may be determined. The second terminal may sort the target image and the local image based on preset conditions.
Optionally, after the target image is saved, the target image and the local image in the second terminal may be ranked based on the image similarity or the shooting time, or the images may be ranked based on the image similarity and the shooting time. The local image is an image stored in the second terminal, and may be an image captured in advance by the second terminal or an image captured by another terminal.
Optionally, when sorting is based on the image similarity, the image similarity of the target image and the local image can be determined first, and then the target image and the local image with the image similarity greater than a first preset threshold value are stored in adjacent positions. When sorting based on the shooting time difference values, the shooting time difference values of the target image and the local image can be determined first, and then the target image and the local image with the shooting time difference values smaller than a second preset threshold value are stored in adjacent positions, so that a user can conveniently check the effects of shooting images of different terminals.
The first preset threshold value and the second preset threshold value are preset, and the application is not limited in particular. For example: setting the first preset threshold value to be 80%, and storing the local image and the target image with the image similarity exceeding 80% at adjacent positions; and setting the second preset threshold value to be 1 minute, and storing the local image and the target image with the shooting time difference less than 1 minute in adjacent positions.
Optionally, when sorting the images based on the image similarity and the shooting time, sorting the images according to the difference value of the shooting time, then comparing the image similarity of each image adjacent to the shooting time of the local image with the image similarity, and sorting the similar images with the image similarity greater than a first preset threshold value before priority. Or firstly sorting according to the similarity of shot images, then comparing the shooting time difference values of the images adjacent to the shooting time of each target image and the local image, and sorting the adjacent images with the shooting time difference value smaller than a second preset threshold value before priority. As shown in fig. 3, similar images having similar photographing times and image similarity greater than a threshold value are arranged in front, and the arrangement order between the similar images is not particularly limited in the present application.
Optionally, the second terminal may compare the saved local image with the target image; or the local images or the target images can be compared with each other.
According to the image processing method provided by the embodiment of the application, the similar images can be quickly searched by sequencing the target images and the local images based on the preset condition, so that the user can conveniently compare the shooting effects of the similar images.
In one embodiment, the sorting the target image and the local image based on the preset condition includes:
sorting the target image and the local image based on a preset priority of the preset condition;
wherein, the preset priority of the image similarity is higher than the preset priority of the shooting time difference value.
Optionally, the second terminal compares similar images shot by different terminals, and the effect of shooting the images is easier to observe. Therefore, when the images can be ranked both in terms of image similarity and photographing time difference, ranking based on the image similarity is prioritized. And setting the corresponding priority to the preset condition of image sequencing in the second terminal, wherein the priority of the similarity of the images is higher than the priority of the shooting time difference value.
Optionally, an image with image similarity greater than a first preset threshold or a target image with a shooting time difference smaller than a second preset threshold and a local image are determined as similar images, and the image similarity or the shooting time is taken as an association relationship between the similar images. When one of the similar images is selected, other similar images in the video can be quickly acquired according to the association relation, and the storage position of the other similar images in the second terminal can be determined.
According to the image processing method provided by the embodiment of the application, the target image and the local image are ranked by preferentially using the image similarity larger than the first preset threshold value, so that the similar images can be quickly searched, and the user can conveniently compare the shooting effects of the similar images.
In one embodiment, the editing the image to be processed in the target video while playing the target video includes:
receiving a first input of a user to the image to be processed under the condition of playing the target video;
in response to the first input, the image to be processed is removed.
Optionally, in the case of playing the target video, each to-be-processed picture in the target video may be edited according to the user requirement. The user can perform a sliding operation through the currently displayed image to be processed of the video interface, and can delete the image in the following two ways.
Mode one: after receiving the sliding operation of the user on the video interface, the second terminal responds to the sliding operation of the user, marks the currently displayed image to be processed as a pre-deleted image, and then continues to play the following video part. When the target video editing is completed and the video conversion image is carried out, the second terminal deletes the marked pre-deleted image and stores the target image without the mark.
Mode two: after receiving the sliding operation of the user on the video interface, the second terminal responds to the sliding operation of the user, and then directly deletes the currently displayed image to be processed and continues to play the rear video part. And when the target video is edited and the video is converted into an image, the second terminal directly restores the edited video into the target image.
Alternatively, the sliding operation may slide up and down, left and right, or a designated gesture, and the present application is not particularly limited.
According to the image processing method provided by the embodiment of the application, the image to be processed in the target video is edited under the condition of playing the target video, so that the flexibility of image processing can be improved; the efficiency of image contrast can also be improved by deleting the target image according to the requirements.
In one embodiment, the converting the edited target video into the target image and analyzing the image attribute information corresponding to the target image includes:
analyzing the edited target video into a target image set;
traversing the target image set, converting images in the target image set into target images, and analyzing image attribute information corresponding to the target images;
and embedding the image attribute information into the target image.
Optionally, the second terminal first parses the edited target video into a corresponding target image set, and then traverses from the target image set. Each image in the target image set is an image object, each target image and the contained image attribute information can be analyzed, the image attribute information is embedded into the target image, and the image attribute information is stored in the second terminal. Finally, the second terminal may present the target image and the image attribute information.
Alternatively, if the target video is edited in a manner that the pre-deleted image is already marked at the time of editing, the second terminal deletes the marked image object and does not parse the marked image object into an image when traversing the target image set. If the second mode is adopted to edit the target video, namely the pre-deleted image is directly removed during editing, at the moment, the next image of the image set moves forward and directly covers the previous image object, so that the deleted object does not exist, and the deletion operation of the image object is not needed to be performed again in the traversal process. The second terminal can directly restore the target image in the video when traversing the target image set in the second mode.
According to the image processing method provided by the embodiment of the application, the images in the target image set can be rapidly extracted by traversing the target image set, and each image and the corresponding image attribute information are analyzed, so that the image comparison efficiency is improved.
In one embodiment, the image processing method further includes:
and searching the target image and the local image according to the image attribute information to acquire an image corresponding to the image attribute information.
Optionally, after acquiring the target image and the corresponding image attribute message, the second terminal may store all the images currently stored in a classified manner according to the image attribute information, and may retrieve all the images under the current image attribute information based on the user requirement.
According to the image processing method provided by the embodiment of the application, the corresponding images are obtained through image attribute information retrieval, so that the images with the corresponding attributes can be quickly searched, the image comparison modes can be diversified, and the user experience is improved.
In one embodiment, the image attribute information includes at least one of: shooting time, shooting position, image pixels, image memory, shooting model and shooting parameters.
Optionally, the target image, the local image and corresponding image attribute information are stored in the second terminal, where the image attribute information includes a plurality of attribute information such as shooting time, shooting position, image pixel, image memory, shooting model, shooting parameters, and so on, so that the image can be retrieved by at least one attribute.
For example: according to the camera model, the image of the second terminal and the image of the first terminal can be searched, and the effect of shooting the image by the same terminal can be compared.
Alternatively, the image attribute information may be transferred from the first terminal to the second terminal through the target video, and the image attribute information may be restored by parsing the target video, so that the second terminal may retrieve the image photographed by the first terminal according to the image attribute information.
According to the image processing method provided by the embodiment of the application, the corresponding image is obtained through specific image attribute information retrieval, so that the image with the corresponding attribute can be quickly found, and the user experience is improved; and the images and the image attribute information of different terminals can be transmitted through the target video, so that the image migration and image comparison processes are simplified.
In one embodiment, the image processing method further includes:
Receiving a second input to a first image, which is any of the target image or the local image, in a case where the target image and the local image are arranged in a first order;
displaying a target image associated with the first image according to the sequence of the first image in the target video when the first image is an image in the target image;
and displaying the image associated with the first image according to the sequence of the first image in the local image when the first image is the image in the local image.
Alternatively, the association relationship between images may be determined according to image attribute information. The image having the association relationship includes, for example: the shooting time is an image from seven to seven half at night, the image is a target image with more than 10M in the image, the shooting parameters are images shot by adopting a flash lamp, the shooting time difference is smaller than a target image with a second preset threshold value, the image similarity is larger than a first preset threshold value, or the images with the same shooting parameters and different shooting times are the same.
Alternatively, the target image and the local image may be arranged in the first order based on the image attribute information. A second input for selecting the first image by the user is received, the second input may be an operation of selecting the first image by clicking or long pressing the first image, and the first image may be any image of the target image or the local image. The second terminal may acquire all images having an association relationship with the first image in response to the second input. And the associated first images at different locations are arranged together for display on the target interface of the second terminal.
Optionally, the target image associated with the first image is determined according to the order of the first image in the target video and the input parameters of the second input.
Optionally, the first order causes the target image to be arranged at intervals with the local image. For example, the local images are A, B and C, the target images are D, E and F, and A, D, B, E, C, F is obtained after sorting according to the image attribute information, when the first image is E, D is displayed according to the sequence of the first image in the target video when the first image is left-hand sliding, and F is displayed according to the sequence of the first image in the target video when the first image is right-hand sliding; if the first image is B, the left slide is displayed according to the sequence of the first image in the local image, the right slide is displayed according to the sequence of the first image in the local image, and the C is displayed according to the sequence of the first image in the local image.
Alternatively, in the case where the first image is an image in the target image, the target image associated with the first image may be displayed according to the order of the first image in the target video. The first image and the associated target image may be displayed entirely on the terminal interface, or each image may be displayed in turn by sliding the target image. In the case where the first image is an image in the local image, the image associated with the first image may be displayed according to the order of the first image in the local image. The first image and the associated local image may be displayed entirely on the terminal interface, or each image may be displayed in turn by sliding the image.
For example: and determining the image with the image similarity being more than 80% or the target image or the local image with the shooting time difference being less than 5 minutes as similar images, and taking the image similarity or the shooting time as the association relationship between the similar images. When any one image in the similar images is selected, other similar images in non-adjacent positions in the video can be rapidly acquired according to the association relation. Assuming that the selected first image is B, other images having an association relationship are a and C, when the selected first image is B, the left-sliding image may display the image a, and the right-sliding image may display the image C.
According to the image processing method provided by the embodiment of the application, the target images with the association relationship can be rapidly obtained by establishing the association relationship between the images under the condition that the target images and the local images are arranged in sequence, and the associated target images are arranged together, so that the image comparison efficiency is improved.
Fig. 4 is a second flowchart of an image processing method according to an embodiment of the application. Referring to fig. 4, an embodiment of the present application provides an image processing method, which may include:
step 410, synthesizing the image set to be processed into a target video, and transmitting the target video to a second terminal;
The image to be processed set comprises the image to be processed and image attribute information corresponding to the image to be processed.
Optionally, in step 410, the image to be processed that needs to be transferred is determined according to the user's needs. And the first terminal independently packages each image to be processed into an image object, stores all the image objects into a set of images to be processed, and then makes the set of images to be processed into a target video. The image objects in the image set to be processed also include image attribute information such as: various detailed information such as shooting time, shooting position, image pixels, image memory, camera type, shooting parameters, and the like. And finally, the first terminal sends the target video to the second terminal.
According to the image processing method provided by the embodiment of the application, the image to be processed and the corresponding image attribute information are synthesized into the target video and transmitted, so that the image transmission process can be simplified, the rapid migration of the image can be realized, and the image comparison efficiency can be further improved.
It should be noted that, in the image processing method provided in the embodiment of the present application, the execution subject may be an image processing apparatus, or a control module for executing the image processing method in the image processing apparatus. In the embodiment of the present application, an image processing apparatus is described by taking an example of an image processing method performed by the image processing apparatus.
Fig. 5 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present application. Referring to fig. 5, an embodiment of the present application provides an image processing apparatus, which may include:
the first receiving module 510 is configured to receive a target video sent by a first terminal, where the target video is synthesized by a to-be-processed image of the first terminal, and the to-be-processed image is associated with corresponding image attribute information;
the editing module 520 is configured to edit an image to be processed in the target video under the condition that the target video is played;
the conversion module 530 is configured to convert the edited target video into a target image, and analyze image attribute information corresponding to the target image;
and a ranking module 540, configured to rank the target image and the local image based on the image attribute information.
According to the image processing device provided by the embodiment of the application, the first terminal receives the target video, so that the image can be quickly transmitted, and the image transmission process can be simplified; editing the image to be processed in the process of playing the target video, so that the flexibility of image processing can be improved; and converting the edited target video into a target image, analyzing image attribute information corresponding to the target image, and sequencing the target image and the local image based on the image attribute information, so that a user can conveniently determine the image sequence according to the requirement, the user can conveniently compare the images, and the user experience is improved.
In one embodiment, the conversion module 530 is specifically configured to:
analyzing the edited target video into a target image set;
traversing the target image set, converting images in the target image set into target images, and analyzing image attribute information corresponding to the target images;
and embedding the image attribute information into the target image.
In one embodiment, the sorting module 540 is specifically configured to:
sorting the target image and the local image based on preset conditions;
the preset conditions include at least one of the following:
the image similarity of the target image and the local image is larger than a first preset threshold value;
the shooting time difference value of the target image and the local image is smaller than a second preset threshold value;
wherein the image similarity and the photographing time difference value are determined based on the image attribute information.
In one embodiment, the sorting module 540 is further specifically configured to:
sorting the target image and the local image based on a preset priority of the preset condition;
wherein, the preset priority of the image similarity is higher than the preset priority of the shooting time difference value.
In one embodiment, the editing module 520 is further specifically configured to:
receiving a first input of a user to the image to be processed under the condition of playing the target video;
in response to the first input, the image to be processed is removed.
In one embodiment, the image processing apparatus further includes:
a second receiving module (not shown in the figure) that receives a second input to a first image, which is any one of the target image or the local image, in a case where the target image and the local image are arranged in a first order;
a display module (not shown in the figure) for displaying a target image associated with the first image according to the order of the first image in the target video in the case that the first image is an image in the target image;
and displaying the image associated with the first image according to the sequence of the first image in the local image when the first image is the image in the local image.
Fig. 6 is a second schematic structural diagram of an image processing apparatus according to an embodiment of the present application. Referring to fig. 6, an embodiment of the present application provides an image processing apparatus, which may include:
The synthesizing module 610 is configured to synthesize the set of images to be processed into a target video, and send the target video to the second terminal;
the image to be processed set comprises the image to be processed and image attribute information corresponding to the image to be processed.
According to the image processing device provided by the embodiment of the application, the image to be processed and the corresponding image attribute information are synthesized into the target video and transmitted, so that the image transmission process can be simplified, the rapid migration of the image can be realized, and the image comparison efficiency can be further improved.
The image processing device in the embodiment of the application can be a device, and can also be a component, an integrated circuit or a chip in a terminal. The device may be a mobile electronic device or a non-mobile electronic device. By way of example, the mobile electronic device may be a cell phone, tablet computer, notebook computer, palm computer, vehicle mounted electronic device, wearable device, ultra-mobile personal computer (ultra-mobile personal computer, UMPC), netbook or personal digital assistant (personal digital assistant, PDA), etc., and the non-mobile electronic device may be a server, network attached storage (Network Attached Storage, NAS), personal computer (personal computer, PC), television (TV), teller machine or self-service machine, etc., and embodiments of the present application are not limited in particular.
The image processing apparatus in the embodiment of the present application may be an apparatus having an operating system. The operating system may be an Android operating system, an ios operating system, or other possible operating systems, and the embodiment of the present application is not limited specifically.
The image processing device provided in the embodiment of the present application can implement each process implemented by the embodiments of the methods of fig. 1 to fig. 4, and in order to avoid repetition, a detailed description is omitted here.
Optionally, as shown in fig. 7, the embodiment of the present application further provides an electronic device 700, including a processor 701, a memory 702, and a program or an instruction stored in the memory 702 and capable of running on the processor 701, where the program or the instruction implements each process of the above-mentioned image processing method embodiment when executed by the processor 701, and the process can achieve the same technical effect, and for avoiding repetition, a description is omitted herein.
The electronic device in the embodiment of the application includes the mobile electronic device and the non-mobile electronic device.
Fig. 8 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.
The electronic device 800 includes, but is not limited to: radio frequency unit 801, network module 802, audio output unit 803, input unit 804, sensor 805, display unit 806, user input unit 807, interface unit 808, memory 809, and processor 810.
Those skilled in the art will appreciate that the electronic device 800 may also include a power source (e.g., a battery) for powering the various components, which may be logically connected to the processor 810 by a power management system to perform functions such as managing charge, discharge, and power consumption by the power management system. The electronic device structure shown in fig. 8 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than shown, or may combine certain components, or may be arranged in different components, which are not described in detail herein.
The processor 810 is configured to receive a target video sent by a first terminal, where the target video is synthesized by a to-be-processed image of the first terminal, and the to-be-processed image is associated with corresponding image attribute information;
editing an image to be processed in the target video under the condition of playing the target video;
converting the edited target video into a target image, and analyzing image attribute information corresponding to the target image;
and sorting the target image and the local image based on the image attribute information.
According to the electronic equipment provided by the embodiment of the application, the first terminal receives the target video, so that the image can be quickly transmitted, and the image transmission process can be simplified; editing the image to be processed in the process of playing the target video, so that the flexibility of image processing can be improved; and converting the edited target video into a target image, analyzing image attribute information corresponding to the target image, and sequencing the target image and the local image based on the image attribute information, so that a user can conveniently determine the image sequence according to the requirement, the user can conveniently compare the images, and the user experience is improved.
Optionally, the processor 810 is specifically configured to convert the edited target video into a target image, and parse image attribute information corresponding to the target image, including:
analyzing the edited target video into a target image set;
traversing the target image set, converting images in the target image set into target images, and analyzing image attribute information corresponding to the target images;
and embedding the image attribute information into the target image.
Optionally, the processor 810 is further specifically configured to sort the target image and the local image based on the image attribute information, including:
sorting the target image and the local image based on preset conditions;
the preset conditions include at least one of the following:
the image similarity of the target image and the local image is larger than a first preset threshold value;
the shooting time difference value of the target image and the local image is smaller than a second preset threshold value;
wherein the image similarity and the photographing time difference value are determined based on the image attribute information.
Optionally, the processor 810 is further specifically configured to sort the target image and the local image based on the preset condition, including:
Sorting the target image and the local image based on a preset priority of the preset condition;
wherein, the preset priority of the image similarity is higher than the preset priority of the shooting time difference value.
Optionally, the processor 810 is further specifically configured to receive a first input of the user to the image to be processed in a case of playing the target video;
in response to the first input, the image to be processed is removed.
Optionally, the processor 810 is further specifically configured to retrieve the target image and the local image according to the image attribute information, and obtain an image corresponding to the image attribute information.
Optionally, the processor 810 is further specifically configured to receive a second input to a first image, where the target image and the local image are arranged in a first order, and the first image is any image in the target image or the local image;
displaying a target image associated with the first image according to the sequence of the first image in the target video when the first image is an image in the target image;
and displaying the image associated with the first image according to the sequence of the first image in the local image when the first image is the image in the local image.
Or, the processor 810 is configured to synthesize the set of images to be processed into a target video, and send the target video to the second terminal;
the image to be processed set comprises the image to be processed and image attribute information corresponding to the image to be processed.
According to the electronic equipment provided by the embodiment of the application, the image to be processed and the corresponding image attribute information are synthesized into the target video and transmitted, so that the image transmission process can be simplified, the rapid migration of the image can be realized, and the image comparison efficiency can be further improved.
It should be appreciated that in embodiments of the present application, the input unit 804 may include a graphics processor (Graphics Processing Unit, GPU) 8041 and a microphone 8042, the graphics processor 8041 processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The display unit 806 may include a display panel 8061, and the display panel 8061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 807 includes a touch panel 8071 and other input devices 8072. Touch panel 8071, also referred to as a touch screen. The touch panel 8071 may include two parts, a touch detection device and a touch controller. Other input devices 8072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and so forth, which are not described in detail herein. The memory 809 may be used to store software programs as well as various data including, but not limited to, application programs and an operating system. The processor 810 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 810.
The embodiment of the application also provides a readable storage medium, on which a program or an instruction is stored, which when executed by a processor, implements each process of the above image processing method embodiment, and can achieve the same technical effects, and in order to avoid repetition, a detailed description is omitted here.
Wherein the processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium such as a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.
The embodiment of the application further provides a chip, which comprises a processor and a communication interface, wherein the communication interface is coupled with the processor, and the processor is used for running programs or instructions to realize the processes of the embodiment of the image processing method, and can achieve the same technical effects, so that repetition is avoided, and the description is omitted here.
It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, chip systems, or system-on-chip chips, etc.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.
Claims (11)
1. An image processing method, comprising:
receiving a target video sent by a first terminal, wherein the target video is synthesized by a to-be-processed image of the first terminal, and the to-be-processed image is associated with corresponding image attribute information;
editing an image to be processed in the target video under the condition of playing the target video;
converting the edited target video into a target image, and analyzing image attribute information corresponding to the target image;
sorting the target image and the local image based on the image attribute information so as to realize the comparison of the target image and the local image;
the method further comprises the steps of:
receiving a second input to a first image, which is any of the target image or the local image, in a case where the target image and the local image are arranged in a first order;
displaying a target image associated with the first image according to the sequence of the first image in the target video when the first image is an image in the target image;
and displaying the image associated with the first image according to the sequence of the first image in the local image when the first image is the image in the local image.
2. The image processing method according to claim 1, wherein the converting the edited target video into a target image and analyzing image attribute information corresponding to the target image includes:
analyzing the edited target video into a target image set;
traversing the target image set, converting images in the target image set into target images, and analyzing image attribute information corresponding to the target images;
and embedding the image attribute information into the target image.
3. The image processing method according to claim 1, wherein the sorting the target image and the local image based on the image attribute information includes:
sorting the target image and the local image based on preset conditions;
the preset conditions include at least one of the following:
the image similarity of the target image and the local image is larger than a first preset threshold value;
the shooting time difference value of the target image and the local image is smaller than a second preset threshold value;
wherein the image similarity and the photographing time difference value are determined based on the image attribute information.
4. The image processing method according to claim 3, wherein the sorting the target image and the local image based on a preset condition includes:
sorting the target image and the local image based on a preset priority of the preset condition;
wherein, the preset priority of the image similarity is higher than the preset priority of the shooting time difference value.
5. The image processing method according to claim 1, wherein editing the image to be processed in the target video while playing the target video, comprises:
receiving a first input of a user to the image to be processed under the condition of playing the target video;
in response to the first input, the image to be processed is removed.
6. The image processing method according to claim 1, characterized by further comprising:
and searching the target image and the local image according to the image attribute information to acquire an image corresponding to the image attribute information.
7. An image processing method, comprising:
synthesizing the image set to be processed into a target video, and sending the target video to a second terminal;
The image to be processed set comprises the image to be processed and image attribute information corresponding to the image to be processed;
the target video is used for determining a target image; the image attribute information is used for sorting the target image and the local image of the second terminal so as to realize the comparison of the target image and the local image.
8. An image processing apparatus, comprising:
the first receiving module is used for receiving a target video sent by a first terminal, wherein the target video is synthesized by images to be processed of the first terminal, and the images to be processed are associated with corresponding image attribute information;
the editing module is used for editing the image to be processed in the target video under the condition of playing the target video;
the conversion module is used for converting the edited target video into a target image and analyzing image attribute information corresponding to the target image;
the sorting module is used for sorting the target image and the local image based on the image attribute information so as to realize the comparison of the target image and the local image;
the image processing apparatus further includes:
The second receiving module is used for receiving a second input of a first image under the condition that the target image and the local image are arranged according to a first sequence, wherein the first image is any image in the target image or the local image;
a display module, configured to display, when the first image is an image in the target image, a target image associated with the first image according to an order of the first image in the target video;
and displaying the image associated with the first image according to the sequence of the first image in the local image when the first image is the image in the local image.
9. An image processing apparatus, comprising:
the synthesis module is used for synthesizing the image set to be processed into a target video and sending the target video to the second terminal;
the image to be processed set comprises the image to be processed and image attribute information corresponding to the image to be processed;
the target video is used for determining a target image; the image attribute information is used for sorting the target image and the local image of the second terminal so as to realize the comparison of the target image and the local image.
10. An electronic device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, which program or instruction when executed by the processor implements the steps of the image processing method according to any one of claims 1 to 6 or the steps of the image processing method according to claim 7.
11. A readable storage medium, characterized in that the readable storage medium stores thereon a program or instructions which, when executed by a processor, implement the steps of the image processing method according to any one of claims 1 to 6 or the steps of the image processing method according to claim 7.
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