CN110704656A - Picture processing method and device, storage medium and terminal - Google Patents
Picture processing method and device, storage medium and terminal Download PDFInfo
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- CN110704656A CN110704656A CN201910900317.3A CN201910900317A CN110704656A CN 110704656 A CN110704656 A CN 110704656A CN 201910900317 A CN201910900317 A CN 201910900317A CN 110704656 A CN110704656 A CN 110704656A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
- G06F16/535—Filtering based on additional data, e.g. user or group profiles
Abstract
The embodiment of the application discloses a picture processing method, a picture processing device, a storage medium and a terminal. According to the picture processing method, a target picture is analyzed to obtain an analysis result; acquiring image preference information of each contact in a preset contact set; determining a target contact from a preset contact set according to the analysis result and the image preference information; acquiring communication identification information corresponding to a target contact; and sending the target picture to the corresponding terminal based on the communication identification information. According to the scheme, the pictures can be automatically matched and sent to the corresponding contact persons based on the characteristics of the pictures and the image preference information of the contact persons, so that the picture processing efficiency and the intelligence of the terminal are improved.
Description
Technical Field
The present application relates to the field of terminal technologies, and in particular, to a method and an apparatus for processing an image, a storage medium, and a terminal.
Background
With the development of the internet and the mobile communication network, and the rapid development of the processing capability and the storage capability of the terminal, a great amount of applications are rapidly spread and used.
In the related art, when the current communication device sends a photo to a contact, a user is required to select the photo to be sent to a corresponding receiver, or the receiver of the photo is selected for a specified photo, so that the operation is complex and tedious, and the efficiency of sending the photo is poor.
Disclosure of Invention
The embodiment of the application provides a picture processing method and device, a storage medium and a terminal, which can improve the image processing efficiency.
In a first aspect, an embodiment of the present application provides an image processing method applied to a terminal, including:
analyzing the target picture to obtain an analysis result;
acquiring image preference information of each contact in a preset contact set;
determining a target contact person from the preset contact person set according to the analysis result and the image preference information;
acquiring communication identification information corresponding to the target contact;
and sending the target picture to a corresponding terminal based on the communication identification information.
In a second aspect, an embodiment of the present application provides an image processing apparatus, which is applied to a terminal, and includes:
the analysis unit is used for analyzing the target picture to obtain an analysis result;
the acquiring unit is used for acquiring the image preference information of each contact in the preset contact set;
the determining unit is used for determining a target contact person from the preset contact person set according to the analysis result and the image preference information;
the acquisition unit is used for acquiring the communication identification information corresponding to the target contact person;
and the sending unit is used for sending the target picture to a corresponding terminal based on the communication identification information.
In a third aspect, an embodiment of the present application further provides a storage medium, where a plurality of instructions are stored in the storage medium, and the instructions are adapted to be loaded by a processor to perform the above-mentioned picture processing method.
In a fourth aspect, an embodiment of the present application further provides a terminal, including a processor and a memory, where the processor is electrically connected to the memory, and the memory is used to store instructions and data; the processor is used for executing the picture processing method.
In the implementation of the application, the target picture is analyzed to obtain an analysis result; acquiring image preference information of each contact in a preset contact set; determining a target contact from a preset contact set according to the analysis result and the image preference information; acquiring communication identification information corresponding to a target contact; and sending the target picture to the corresponding terminal based on the communication identification information. According to the scheme, the pictures can be automatically matched and sent to the corresponding contact persons based on the characteristics of the pictures and the image preference information of the contact persons, so that the picture processing efficiency and the intelligence of the terminal are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of an image processing method according to an embodiment of the present application.
Fig. 2 is another schematic flow chart diagram of a picture processing method according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a picture processing apparatus according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a terminal according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a picture processing method, a picture processing device, a storage medium and a terminal. The details will be described below separately.
In an embodiment, an image processing method is provided, and is applied to terminal devices such as smart phones, tablet computers, and notebook computers. Referring to fig. 1, a specific flow of the image processing method may be as follows:
101. and analyzing the target picture to obtain an analysis result.
The target picture may be a picture pre-stored in the terminal, or a picture obtained in real time through a terminal camera. In addition, the target picture may be a picture obtained from a server. In this embodiment, the target image may specifically be a person image, a scene image, an animal image, and the like, which is not particularly limited.
Specifically, when analyzing the target image, an image recognition technology may be specifically adopted to perform recognition processing on the target image, so as to obtain corresponding image features, an image recognition result, and the like.
Wherein the image features may include one or more of color features, texture features, shape features, and spatial relationship features. Wherein a color feature is a global feature describing surface properties of a scene corresponding to an image or an image area. Texture features are also global features that describe the surface properties of the scene to which the image or image region corresponds. The shape feature is a local feature, and has two types of representation methods, one is a contour feature and mainly aims at the outer boundary of an object; the other is a region feature, which relates to the entire shape region. The spatial relationship features refer to the mutual spatial position or relative direction relationship among a plurality of targets segmented from the image, and these relationships can also be classified into connection/adjacency relationship, overlapping/overlapping relationship, inclusion/containment relationship, and the like.
In a specific implementation, the image features obtained by the analysis may be analyzed and identified, and the obtained identification result may be used as the analysis result.
102. And acquiring image preference information of each contact in a preset contact set.
The preset contact set at least comprises one contact, and the contact can be specifically displayed in a user identification form. For example, the user identification may be a user name, a user avatar, a user identification number, and the like. The image preference information is some preference information of each contact for the image. For example, the image preference information may refer to a certain image type, and may also refer to the image type including a certain or certain image characteristics. In addition, the image preference information may also refer to a content including a specified person, animal, or other entity.
Referring to fig. 2, in some embodiments, the step of "obtaining image preference information of each contact in the preset contact set" may include the following steps:
1021. acquiring historical data interaction information between the contact person and each contact person in a preset contact person set;
1022. extracting image information from historical data interaction information;
1023. preference information is generated based on the image information.
The historical interaction information refers to interaction information between the terminal and each contact in the past period of time. For example, the history interactive information may be messages, instant messaging messages, call records, etc. sent by the terminal and the contact terminal, group dynamics, etc. Wherein the past period of time may be set by a person skilled in the art. For example, the past period of time may be a period of time since the terminal was activated until the current time; or the time period from a certain past time point to another time point; but may also be a time period from a certain point in time in the past to the present time (e.g., one month in the past).
In practical applications, when a user terminal interacts with a contact person, a large amount of data about user preferences may exist in the interaction information. Therefore, the interaction information between the terminal and the contact persons stored in the terminal can be learned based on the machine learning algorithm, so that different user habits, preference information and the like of different contact persons can be learned.
For example, pictures frequently sent by the contact person can be screened from the interactive information, and then the pictures are identified based on an image identification technology, so that image characteristics preferred by the user are identified from the pictures, and image preference information is obtained.
In some embodiments, after extracting the image information from the historical data interaction information, the context information of the image information may also be obtained from the historical data interaction information before generating the preference information based on the image information. When generating the preference information based on the image information, the preference information may be generated based on the image information and the context information.
In practical applications, the context effect is crucial for a sentence or a picture or an expression. The context information largely determines the meaning that the user really wants to express to the current sentence and expression, the likes and dislikes of the current picture, and the like. Therefore, when the interactive information of the contact and the terminal user is analyzed, the accuracy of the image preference information analysis of the contact can be improved by combining the context information.
103. And determining a target contact from a preset contact set according to the analysis result and the image preference information.
Specifically, the image preference information of the contact person may be matched based on the analysis result of the target picture to obtain matched image preference information, so that the contact person corresponding to the matched image preference information is used as the target contact person. Wherein the preference information may be some descriptive information of the image. For example, for a human image, the image preference information may include label information such as "big eye", "long hair", "curly hair", and the like.
In some embodiments, the matching of the analysis result with the image preference information may be matching of image features. That is, the parsing result may include a first image characteristic of the target picture, and the image preference information may include a second image characteristic. The step "determining a target contact from the preset contact set according to the analysis result and the image preference information of each contact in the preset contact set" may include the following steps:
(11) carrying out similarity analysis on the first image characteristic and the second image characteristic to obtain a similarity result;
(12) and determining the target contact from the preset contact set according to the similarity result.
Specifically, the first image feature and the second image feature may be one or more of the color feature, the texture feature, the shape feature, and the spatial relationship feature. By comparing the image characteristics, the similarity between the two images can be analyzed. Wherein, the similarity can be embodied in the form of percentage. For example, if the first image features include 10 features and the second image features include 20 features, and if 5 feature portions similar to the second image features are determined, the similarity may be calculated based on the portion (5) of the similar features and the image features (20) with a larger number of features, and the similarity may be 25%.
In some embodiments, the similarity results include a similarity value. The step of determining the target contact from the preset contact set according to the similarity result may include the following processes:
(121) determining the highest similarity value from the obtained similarity values;
(122) judging whether the highest similarity value is larger than a preset threshold value or not;
(123) and if so, determining the contact corresponding to the highest similarity value as the target contact.
Specifically, when a plurality of contacts exist, a plurality of similarity values are obtained through comparison, and then one with the highest similarity value is selected from the plurality of similarity values to serve as the highest similarity value. And when the highest similarity value is larger than a preset threshold value, taking the contact corresponding to the highest similarity value as a target contact.
The preset threshold value can be set by a person skilled in the art. For example, the preset threshold may be set to 80%, 90%, or the like. And matching the corresponding contact with the target picture when the similarity value is larger than a preset threshold value. And if the similarity is lower than a preset threshold value, the target contact person is not matched from the preset contact person set.
104. And acquiring communication identification information corresponding to the target contact person.
The communication identification information may be various. In practical application, the communication identification information may specifically be a mobile phone number, an instant messaging account number, a device identification code of the terminal, and the like.
105. And sending the target picture to the corresponding terminal based on the communication identification information.
In practical application, different modes can be adopted to send the target picture to the corresponding terminal based on different types of the communication identification information.
For example, when the communication identification information is a mobile phone number, the terminal can send a multimedia message or a short message containing the target picture to the contact person based on the mobile phone number; and when the communication identifier is an instant communication account, sending a message containing the target picture to the contact person through corresponding instant communication software based on the instant communication account.
With continued reference to fig. 2, in some embodiments, after sending the target picture to the corresponding terminal based on the communication identification information, the following process may be further included:
106. and updating the image preference information of the target contact person based on the target picture.
Specifically, when the target picture is sent to the corresponding contact, it indicates that the target picture is a preferred picture of the contact. At this time, the picture preference information of the contact may be updated based on the picture feature of the target picture. Therefore, the terminal can continuously learn and improve different image preferences of each contact person, and the accuracy of the terminal in automatically sending the images to the contact persons is improved.
In some embodiments, the preference information may also be set by the user for the contact person, and in practical applications, when the user compiles the picture recipient information, the information of a picture may be stored, and the information is obtained by parsing the picture. After the terminal finishes shooting the picture every time, the terminal analyzes the shot picture and checks whether the picture is the picture which the user wants to automatically send (namely the picture matched with the stored picture information) according to the information obtained by analysis. And if so, sending the picture to the corresponding picture receiver. The information stored in the picture may be the picture itself, or some label information (such as "white", "skirt", "long hair", etc.).
For example, if the picture stored in the information of the receiver a is a picture taken by a, the picture taken by a is automatically sent to a each time. For another example, friend B may want the user to send B a picture of the grandchild every time the user takes a picture, and then the user may automatically send B a picture of the grandchild every time the user takes a picture of B.
As can be seen from the above, according to the image processing method provided in the embodiment, the target image can be automatically matched with the contact person by analyzing the target image to obtain the analysis result and combining the image preference information of the contact person in the terminal. And the target picture is sent to the receiving terminal associated with the matched contact person, so that the user does not need to manually select the object to be sent, and the picture processing efficiency and the intelligence of the terminal are improved.
In another embodiment of the present application, a picture processing apparatus is further provided, where the picture processing apparatus may be integrated in a terminal in a form of software or hardware, and the terminal may specifically include a mobile phone, a tablet computer, a notebook computer, and the like. As shown in fig. 3, the picture processing apparatus 300 may include: parsing unit 301, first obtaining unit 302, determining unit 303, second obtaining unit 304, and sending unit 305, wherein:
an analysis unit 301, configured to analyze the target picture to obtain an analysis result;
a first obtaining unit 302, configured to obtain image preference information of each contact in a preset contact set;
a determining unit 303, configured to determine a target contact from a preset contact set according to the analysis result and the image preference information;
a second obtaining unit 304, configured to obtain communication identification information corresponding to the target contact;
a sending unit 305, configured to send the target picture to the corresponding terminal based on the communication identifier information.
In some embodiments, the first obtaining unit 302 is configured to:
acquiring historical data interaction information between the contact person and each contact person in the preset contact person set;
extracting image information from historical data interaction information;
generating the preference information based on the image information.
In some embodiments, the apparatus 300 may further include:
a third obtaining unit configured to obtain context information of the image information from the history data interaction information after extracting the image information from the history data interaction information and before generating the preference information based on the image information;
in generating the preference information based on the image information, the second obtaining unit 302 may be further configured to:
generating preference information based on the image information and the context information.
In some embodiments, the parsing result includes a first image feature of the target picture, and the image preference information includes a second image feature;
the determining unit 303 may be configured to:
carrying out similarity analysis on the first image characteristic and the second image characteristic to obtain a similarity result;
and determining the target contact from the preset contact set according to the similarity result.
In some embodiments, the similarity results comprise a similarity value; the determining unit 303 may further be configured to:
determining the highest similarity value from the obtained similarity values;
judging whether the highest similarity value is larger than a preset threshold value or not;
and if so, determining the contact corresponding to the highest similarity value as the target contact.
In some embodiments, the apparatus 300 may further include:
and the updating unit is used for updating the image preference information of the target contact person based on the target picture after the target picture is sent to the corresponding terminal based on the communication identification information.
As can be seen from the above, the image processing apparatus provided in the embodiment of the present application can automatically match a target image with a contact by analyzing the target image to obtain an analysis result and combining image preference information of the contact in a terminal. And the target picture is sent to the receiving terminal associated with the matched contact person, so that the user does not need to manually select the object to be sent, and the picture processing efficiency and the intelligence of the terminal are improved.
In another embodiment of the present application, a terminal is further provided, where the terminal may be a terminal device such as a smart phone and a tablet computer. As shown in fig. 4, the terminal 400 includes a processor 401 and a memory 402. The processor 401 is electrically connected to the memory 402.
The processor 401 is a control center of the terminal 400, connects various parts of the entire terminal using various interfaces and lines, and performs various functions of the terminal and processes data by running or loading an application stored in the memory 402 and calling data stored in the memory 402, thereby performing overall monitoring of the terminal.
In this embodiment, the processor 401 in the terminal 400 loads instructions corresponding to one or more application processes into the memory 402 according to the following steps, and the processor 401 runs the application stored in the memory 402, thereby implementing various functions:
analyzing the target picture to obtain an analysis result;
acquiring image preference information of each contact in a preset contact set;
determining a target contact person from the preset contact person set according to the analysis result and the image preference information;
acquiring communication identification information corresponding to the target contact;
and sending the target picture to a corresponding terminal based on the communication identification information.
In some embodiments, in obtaining the image preference information of each contact in the preset contact set, the processor 401 may perform the following operations:
acquiring historical data interaction information between the contact person and each contact person in the preset contact person set;
extracting image information from the historical data interaction information;
generating the preference information based on the image information.
In some embodiments, after extracting image information from the historical data interaction information, before generating the preference information based on the image information, the processor 401 may perform the following operations:
acquiring context information of the image information from the historical data interaction information;
the generating the preference information based on the image information includes:
generating the preference information based on the image information and the context information.
In some embodiments, the parsing result includes a first image feature of the target picture, and the image preference information includes a second image feature. When determining the target contact from the preset contact set according to the analysis result and the image preference information of each contact in the preset contact set, the processor 401 may perform the following operations:
carrying out similarity analysis on the first image characteristic and the second image characteristic to obtain a similarity result;
and determining a target contact from the preset contact set according to the similarity result.
In some embodiments, the similarity results comprise a similarity value; when determining the target contact from the preset contact set according to the similarity result, the processor 401 may perform the following operations:
determining the highest similarity value from the obtained similarity values;
judging whether the highest similarity value is larger than a preset threshold value or not;
and if so, determining the contact corresponding to the highest similarity value as a target contact.
In some embodiments, after sending the target picture to the corresponding terminal based on the communication identification information, the processor 401 may perform the following operations:
updating the image preference information of the target contact based on the target picture.
The memory 402 may be used to store applications and data. The memory 402 stores applications containing instructions executable in the processor. Applications may constitute various functional modules. The processor 401 executes various functional applications and data processing by running applications stored in the memory 402.
In some embodiments, as shown in fig. 5, the terminal 400 further includes: display 403, control circuit 404, radio frequency circuit 405, input unit 406, audio circuit 407, sensor 408, and power supply 409. The processor 401 is electrically connected to the display 403, the control circuit 404, the rf circuit 405, the input unit 406, the audio circuit 407, the sensor 408, and the power source 409.
The display screen 403 may be used to display information input by or provided to the user as well as various graphical user interfaces of the terminal, which may be constituted by images, text, icons, video, and any combination thereof.
The control circuit 404 is electrically connected to the display 403, and is configured to control the display 403 to display information.
The rf circuit 405 is configured to transmit and receive rf signals, so as to establish wireless communication with a network device or other terminals through wireless communication, and transmit and receive signals with the network device or other terminals.
The input unit 406 may be used to receive input numbers, character information, or user characteristic information (e.g., fingerprint), and to generate keyboard, mouse, joystick, optical, or trackball signal inputs related to user settings and function control. The input unit 406 may include a fingerprint recognition module.
The audio circuit 407 may provide an audio interface between the user and the terminal through a speaker, microphone.
The sensor 408 is used to collect external environmental information. The sensors 408 may include ambient light sensors, acceleration sensors, light sensors, motion sensors, and other sensors.
The power supply 409 is used to power the various components of the terminal 400. In some embodiments, the power source 409 may be logically connected to the processor 401 through a power management system, so that functions of managing charging, discharging, and power consumption are implemented through the power management system.
Although not shown in fig. 5, the terminal 400 may further include a camera, a bluetooth module, and the like, which are not described in detail herein.
As can be seen from the above, according to the image processing method provided in the embodiment, the target image can be automatically matched with the contact person by analyzing the target image to obtain the analysis result and combining the image preference information of the contact person in the terminal. And the target picture is sent to the receiving terminal associated with the matched contact person, so that the user does not need to manually select the object to be sent, and the picture processing efficiency and the intelligence of the terminal are improved.
In some embodiments, a storage medium is also provided, in which a plurality of instructions are stored, the instructions being adapted to be loaded by a processor to perform any of the above-described picture processing methods.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The image processing method, the image processing apparatus, the storage medium, and the terminal provided in the embodiments of the present application are described in detail above, and a specific example is applied in the description to explain the principles and embodiments of the present application, and the description of the embodiments above is only used to help understand the method and the core idea of the present application; meanwhile, for those skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. An image processing method, comprising:
analyzing the target picture to obtain an analysis result;
acquiring image preference information of each contact in a preset contact set;
determining a target contact person from the preset contact person set according to the analysis result and the image preference information;
acquiring communication identification information corresponding to the target contact;
and sending the target picture to a corresponding terminal based on the communication identification information.
2. The method according to claim 1, wherein the obtaining image preference information of each contact in the preset contact set comprises:
acquiring historical data interaction information between the contact person and each contact person in the preset contact person set;
extracting image information from the historical data interaction information;
generating the preference information based on the image information.
3. The picture processing method according to claim 2, further comprising, after extracting image information from the history data interaction information and before generating the preference information based on the image information:
acquiring context information of the image information from the historical data interaction information;
the generating the preference information based on the image information includes:
generating the preference information based on the image information and the context information.
4. The picture processing method according to any one of claims 1 to 3, wherein the parsing result includes a first image feature of the target picture, and the image preference information includes a second image feature;
the determining the target contact person from the preset contact person set according to the analysis result and the image preference information of each contact person in the preset contact person set comprises the following steps:
carrying out similarity analysis on the first image characteristic and the second image characteristic to obtain a similarity result;
and determining a target contact from the preset contact set according to the similarity result.
5. The picture processing method according to claim 4, wherein the similarity result comprises a similarity value; the determining a target contact from the preset contact set according to the similarity result comprises:
determining the highest similarity value from the obtained similarity values;
judging whether the highest similarity value is larger than a preset threshold value or not;
and if so, determining the contact corresponding to the highest similarity value as a target contact.
6. The method of claim 1, further comprising, after sending the target picture to a corresponding terminal based on the communication identification information:
updating the image preference information of the target contact based on the target picture.
7. A picture processing apparatus, comprising:
the analysis unit is used for analyzing the target picture to obtain an analysis result;
the first acquisition unit is used for acquiring the image preference information of each contact in a preset contact set;
the determining unit is used for determining a target contact person from the preset contact person set according to the analysis result and the image preference information;
the second acquisition unit is used for acquiring the communication identification information corresponding to the target contact person;
and the sending unit is used for sending the target picture to a corresponding terminal based on the communication identification information.
8. The apparatus according to claim 7, wherein the first obtaining unit is configured to:
acquiring historical data interaction information between the contact person and each contact person in the preset contact person set;
extracting image information from the historical data interaction information;
generating the preference information based on the image information.
9. A storage medium having stored therein a plurality of instructions adapted to be loaded by a processor to perform the picture processing method according to any one of claims 1 to 6.
10. A terminal is characterized by comprising a processor and a memory, wherein the processor is electrically connected with the memory, and the memory is used for storing instructions and data; the processor is configured to perform the picture processing method according to any one of claims 1 to 6.
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| CN111930356A (en) * | 2020-08-19 | 2020-11-13 | 百度(中国)有限公司 | Method and device for determining picture format |
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