CN115510259A - Method, device, terminal and non-transitory storage medium for feature information processing - Google Patents

Abstract

The disclosure provides a method, device, terminal and non-transitory storage medium for feature information processing. Wherein, the method includes: acquiring a target image; acquiring feature information of at least one preset position in the target image; and searching a database for historical feature information matching the feature information, such as the database including the The historical characteristic information matched by the characteristic information, and the page information corresponding to the matched historical characteristic information is acquired. The characteristic information processing method provided in the present disclosure can perform matching display according to the historical characteristic information of the characteristic information.

Description

Method, device, terminal and non-transitory storage medium for feature information processing

technical field

The present disclosure relates to the field of computer technology, and more specifically, to a method, device, terminal and non-transitory storage medium for feature information processing.

Background technique

The desktop-level interactive projection display and the way of displaying historical records on the screen of electronic equipment can be applied to many usage scenarios, such as assisting students in learning. By recognizing the outline of the book through the camera, the content that users query on each page will be different.

Contents of the invention

This Summary is provided to introduce a simplified form of concepts that are described in detail later in the Detailed Description. This summary of the invention is not intended to identify key features or essential features of the claimed technical solution, nor is it intended to be used to limit the scope of the claimed technical solution.

In order to solve the above problems, the present disclosure provides a method, device, terminal and non-transitory storage medium for feature information processing.

According to an embodiment of the present disclosure, a method for processing feature information is provided, including:

Get the target image;

Acquiring feature information of at least one preset position in the target image; and

Searching for historical feature information matching the feature information from the database, if the database includes historical feature information matching the feature information, acquiring page information corresponding to the matching historical feature information.

According to an embodiment of the present disclosure, a feature information processing device is provided, including:

An acquisition module, configured to acquire an image; acquire feature information of at least one preset position in the image; and

A processing module, configured to search the database for historical feature information that matches the feature information, if the database includes historical feature information that matches the feature information, acquire page information corresponding to the matched historical feature information.

According to an embodiment of the present disclosure, a terminal is provided, and the terminal includes: at least one memory and at least one processor; wherein the memory is used to store program codes, and the processor is used to call the program code stored in the memory program code to perform the above method.

According to an embodiment of the present disclosure, a non-transitory storage medium is provided, the non-transitory storage medium is used for storing program codes, and when the program codes are executed by a computer device, the computer device executes the above method.

The feature information processing solution of the present disclosure can perform matching display according to the historical feature information of the feature information.

Description of drawings

The above and other features, advantages and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

Fig. 1 shows a flow chart of a feature information processing method in an embodiment of the present disclosure.

FIG. 2 shows a schematic diagram of a target image according to an embodiment of the present disclosure.

Fig. 3 shows a schematic diagram of displaying page information in an embodiment of the present disclosure.

Fig. 4 shows a flowchart of a feature information processing method according to another embodiment of the present disclosure.

Fig. 5 shows a schematic structural diagram of an apparatus for processing feature information according to an embodiment of the present disclosure.

FIG. 6 shows a schematic structural diagram of an electronic device suitable for implementing the embodiments of the present disclosure.

detailed description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

It should be understood that the various steps described in the method implementations of the present disclosure may be executed in different orders, and/or executed in parallel. Additionally, method embodiments may include additional steps and/or omit performing illustrated steps. The scope of the present disclosure is not limited in this regard.

As used herein, the term "comprise" and its variations are open-ended, ie "including but not limited to". The term "based on" is "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one further embodiment"; the term "some embodiments" means "at least some embodiments." Relevant definitions of other terms will be given in the description below.

It should be noted that concepts such as "first" and "second" mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the sequence of functions performed by these devices, modules or units or interdependence.

It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative and not restrictive, and those skilled in the art should understand that unless the context clearly indicates otherwise, it should be understood as "one or more" multiple".

Terminals in the present disclosure may include, but are not limited to, devices such as mobile phones, smart phones, notebook computers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), navigation devices, vehicle-mounted terminal equipment, vehicle-mounted display Terminals, mobile terminal devices such as vehicle electronic rearview mirrors, and fixed terminal devices such as digital TVs, desktop computers, etc.

As shown in FIG. 1 , an embodiment of the present disclosure provides a method for processing feature information, including the following steps.

S100, acquiring a target image.

When the user is reading or studying at the desk, the camera of the interactive projection device, mobile terminal, tablet device (pad) or smart learning lamp can take pictures of the content of the book or other learning materials, as well as the learning behavior of the user such as taking notes and looking up words. , so as to use the corresponding learning tools or auxiliary apps in these smart devices to assist users in learning. The above-mentioned smart device can capture the picture of the book on the desktop through the camera, thereby identifying the characteristics of the book page and judging the page currently being read. The target image in the embodiment of the present disclosure may include the content of an open page of a book, which may include text, pictures and other information. Please refer to FIG. 2 , which is a schematic diagram of a target image according to an embodiment of the present disclosure. In the embodiment of the present disclosure, the target image may be the outline of a book recognized by a camera. Specifically in FIG. 2 , the target image may be pages ABCD of an open book. Pages ABCD can include text, pictures and other information.

S200. Acquire feature information of at least one preset position in the target image.

Specifically, this embodiment of the present disclosure may include acquiring first feature information at a first preset position; and acquiring second feature information at a second preset position; wherein, the first feature information includes page number information, and the second feature information Include text information and/or color information.

Please continue to refer to FIG. 2, the first preset position can be shown in the rectangular box in the target image ABCD in FIG. page. The second preset position can be any position in the target image ABCD that does not overlap with the first preset position, and the second characteristic information can be information such as text and color obtained anywhere in the page, as shown in the circular area in Figure 2 . Although ten feature information are selected as an example in FIG. 2 , more or less feature information may be selected in embodiments of the present disclosure.

S300. Search the database for historical feature information matching the feature information. If the database includes historical feature information matching the feature information, acquire page information corresponding to the matching historical feature information.

Specifically, this embodiment of the present disclosure may include searching the database for historical feature information that matches the first feature information and the second feature information, and obtaining the first matching result; if the first matching result is obtained successfully , then the first matching result is the matching historical feature information; if the first matching result fails to be obtained, then search the database for historical features that match the first feature information and the text information information. The page information is displayed in a preset display area; wherein, the page information includes historical operation information of the user on the target image.

More specifically, in the process of reading, characters unknown to the user may appear. In the embodiment of the present disclosure, Chinese characters or English words can be queried through the word search function or point-reading function of devices such as pads and learning lights, and the device will record the content of the query on the current page; when the user reads the same page again, if the pad or learning lights If the page is identified, the content queried when the page was read last time can be obtained, and can be displayed directly without waiting for the user to query.

Based on the above, still taking Figure 2 as an example, when the user enters the page for the first time, feature extraction can be performed on multiple points within the page range, and feature information can be identified and stored. When the user enters the page again, the feature comparison of ten points can be completed on the page, in which the page number information and text information can be the main comparison confidence points, and the color information can be the auxiliary comparison point, because the user may be in the non-text area Make corrections and label. For example, first perform a matching search based on page number information, text information, and color information. If no complete matching result is found, then use the page number information and text information to perform matching. After the matching is successful, call the page number corresponding to the historical feature information in the database. The information is displayed. Wherein, the page information may include the historical operation record information of the user on the corresponding page, including the annotation record of the content corresponding to the preset position and the like.

Please refer to FIG. 3 . FIG. 3 is a schematic diagram of displaying page information in an embodiment of the present disclosure. In FIG. 3 , the target image is still ABCD, and the target image ABCD can be placed on the stage. Page information may be displayed in an area other than the target image ABCD. In FIG. 3 , taking page information 1-5 as an example, it can represent the page information corresponding to the historical feature information of five feature information identified on this page, which can include words and example sentences of words, or the grammar of corresponding sentences. It can be seen that the display manner shown in FIG. 3 is only an example, and other display manners may also be used in embodiments of the present disclosure, and are not limited to the number and arrangement manner shown in FIG. 3 .

In addition, the embodiment of the present disclosure may also include acquiring an associated image of the target image; acquiring an association relationship between the target image and the associated image; and according to the first characteristic information and the association relationship, from the database Acquiring the third feature information of the associated image. Specifically, this embodiment of the present disclosure may further include acquiring fourth feature information at a third preset position in the associated image; and comparing the acquired fourth feature information with the first feature information to obtain The association relationship; wherein, the third preset position in the associated image corresponds to the first preset position in the target image.

More specifically, the embodiments of the present disclosure may also obtain feature information of other pages of the book, and determine the correspondence between different pages according to the page numbers. For the feature information extraction and matching of other pages, reference may be made to the descriptions in the above embodiments, which will not be repeated here. In particular, when identifying other pages, the first feature information, that is, the page number information can be mainly compared, and the information of this page can be directly called after confirmation, without the need to compare and match the text information and color information again, thereby improving the response speed. Embodiments of the present disclosure may also support user error correction functions, such as reacquiring feature information or changing matching information.

This embodiment of the present disclosure may also include recording the feature information in the database if the database does not include historical feature information matching the feature information, and establishing a feature information in the database that matches the feature information Corresponding page information. Please refer to FIG. 4 . FIG. 4 is a flowchart of a method for processing feature information according to another embodiment of the present disclosure. In this embodiment, if no matching historical feature information can be found in the database, the acquired feature information is stored in the database, and corresponding page information is created to update the database. In addition, if the user inquires about new content while reading the page, the embodiment of the present disclosure may also record the newly inquired content into the corresponding page information to further update the database.

In the embodiment of the present disclosure, the outline of the book can be identified through a camera, and feature information within the outline can be extracted. By identifying different pages in the book, find out whether the user has queried words, phrases, example sentences, grammar, etc. in the page. If the user has performed related operations and stored them in the database, the disclosure can call the database through identification matching. The operation history records are directly displayed without the need for the user to manually query again; if there is no history record, the disclosure supports creating a new record and updating the database. According to different pages, user query information can be saved according to the page number, and different pages of the same book can also be associated according to the page number to improve the search speed. The characteristic information processing solution of the embodiment of the present disclosure supports automatic identification of page completion and calling and display of related information.

As shown in FIG. 5 , FIG. 5 shows an apparatus for processing feature information according to an embodiment of the present disclosure. The device 10 of the embodiment of the present disclosure includes an acquisition module 11 and a processing module 13 . Wherein, the acquiring module 11 can be used to acquire an image; acquire feature information of at least one preset position in the image; the processing module 13 can be used to search a database for historical feature information matching the feature information, such as in the database The historical feature information matching the feature information is included, and the page information corresponding to the matching historical feature information is acquired.

As for the embodiment of the device, since it basically corresponds to the embodiment of the method, for relevant parts, please refer to part of the description of the embodiment of the method. The device embodiments described above are merely illustrative, wherein the modules described as separate modules may or may not be separate. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without creative effort.

In addition, the present disclosure also provides a terminal, including: at least one memory and at least one processor; wherein the memory is used to store program codes, and the processor is used to call the program codes stored in the memory to execute the above method .

In addition, the present disclosure also provides a non-transitory storage medium, the non-transitory storage medium is used to store program codes, and the program codes are used to execute the above method.

Referring now to FIG. 6 , it shows a schematic structural diagram of an electronic device 800 such as a terminal suitable for implementing the embodiments of the present disclosure. The terminal equipment in the embodiment of the present disclosure may include but not limited to such as mobile phone, notebook computer, digital broadcast receiver, PDA (personal digital assistant), PAD (tablet computer), PMP (portable multimedia player), vehicle terminal (such as mobile terminals such as car navigation terminals) and fixed terminals such as digital TVs, desktop computers and the like. The electronic device shown in FIG. 6 is only an example, and should not limit the functions and application scope of the embodiments of the present disclosure.

As shown in FIG. 6, an electronic device 800 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) Various appropriate actions and processes are executed by programs in the memory (RAM) 803 . In the RAM 803, various programs and data necessary for the operation of the electronic device 800 are also stored. The processing device 801 , ROM 802 , and RAM 803 are connected to each other through a bus 804 . An input/output (I/O) interface 805 is also connected to the bus 804 .

Typically, the following devices can be connected to the I/O interface 805: input devices 806 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; including, for example, a liquid crystal display (LCD), speaker, vibration an output device 807 such as a computer; a storage device 808 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 809. The communication means 809 may allow the electronic device 800 to communicate with other devices wirelessly or by wire to exchange data. While FIG. 6 shows electronic device 800 having various means, it is to be understood that implementing or having all of the means shown is not a requirement. More or fewer means may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication means 809 , or from storage means 808 , or from ROM 802 . When the computer program is executed by the processing device 801, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are executed.

It should be noted that the above-mentioned computer-readable medium in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present disclosure, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device . Program code embodied on a computer readable medium may be transmitted by any appropriate medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

In some embodiments, the client and the server can communicate using any currently known or future-developed network protocols such as HTTP (HyperText Transfer Protocol, Hypertext Transfer Protocol), and can communicate with digital data in any form or medium (eg, communication network) interconnections. Examples of communication networks include local area networks ("LANs"), wide area networks ("WANs"), internetworks (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network of.

The above-mentioned computer-readable medium may be included in the above-mentioned electronic device, or may exist independently without being incorporated into the electronic device.

Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, or combinations thereof, including but not limited to object-oriented programming languages—such as Java, Smalltalk, C++, and Includes conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as through an Internet service provider). Internet connection).

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logical functions for implementing specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.

The units involved in the embodiments described in the present disclosure may be implemented by software or by hardware. Wherein, the name of a unit does not constitute a limitation of the unit itself under certain circumstances.

The functions described herein above may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), System on Chips (SOCs), Complex Programmable Logical device (CPLD) and so on.

In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer discs, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

According to one or more embodiments of the present disclosure, a method for processing feature information is provided, including:

Get the target image;

Acquiring feature information of at least one preset position in the target image; and

Searching for historical feature information matching the feature information from the database, if the database includes historical feature information matching the feature information, acquiring page information corresponding to the matching historical feature information.

According to one or more embodiments of the present disclosure, the acquiring feature information of at least one preset position in the target image includes:

Acquiring first characteristic information of the first preset position; and

acquiring second characteristic information of a second preset position;

Wherein, the first feature information includes page number information, and the second feature information includes text information and/or color information.

According to one or more embodiments of the present disclosure, the searching for historical characteristic information matching the characteristic information from the database includes:

Find historical feature information matching the first feature information and the second feature information from the database to obtain a first matching result; if the first matching result is obtained successfully, the first matching result is The matching historical feature information; if the first matching result fails to be acquired, searching the database for historical feature information matching the first feature information and the text information.

According to one or more embodiments of the present disclosure, the method further includes:

Acquiring an associated image of the target image;

Acquiring an association relationship between the target image and the associated image; and

Acquire third feature information of the associated image from the database according to the first feature information and the association relationship.

According to one or more embodiments of the present disclosure, the acquiring the association relationship between the target image and the associated image includes:

Acquiring fourth characteristic information of a third preset position in the associated image; and

Comparing the obtained fourth feature information with the first feature information to obtain the association relationship;

Wherein, the third preset position in the associated image corresponds to the first preset position in the target image.

According to one or more embodiments of the present disclosure, the acquiring the page information corresponding to the matched historical feature information includes:

displaying the page information in a preset display area;

Wherein, the page information includes historical operation information of the user on the target image.

According to one or more embodiments of the present disclosure, the method further includes:

If the database does not include historical feature information matching the feature information, record the feature information in the database, and create page information corresponding to the feature information in the database.

According to one or more embodiments of the present disclosure, the method further includes:

The user operation information related to the target image is acquired, and the display result corresponding to the user operation information is saved in the page information corresponding to the characteristic information.

According to one or more embodiments of the present disclosure, a feature information processing device is provided, including:

An acquisition module, configured to acquire an image; acquire feature information of at least one preset position in the image; and

A processing module, configured to search the database for historical feature information that matches the feature information, if the database includes historical feature information that matches the feature information, acquire page information corresponding to the matched historical feature information.

According to one or more embodiments of the present disclosure, a terminal is provided, and the terminal includes: at least one memory and at least one processor; wherein, the memory is used to store program codes, and the processor is used to call the The program code stored in the memory is used to execute the above method.

According to one or more embodiments of the present disclosure, a non-transitory storage medium is provided, the non-transitory storage medium is used for storing program code, and the program code is used for executing the above method.

The above description is only a preferred embodiment of the present disclosure and an illustration of the applied technical principles. Those skilled in the art should understand that the disclosure scope involved in this disclosure is not limited to the technical solution formed by the specific combination of the above-mentioned technical features, but also covers the technical solutions formed by the above-mentioned technical features or Other technical solutions formed by any combination of equivalent features. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this disclosure.

In addition, while operations are depicted in a particular order, this should not be understood as requiring that the operations be performed in the particular order shown or performed in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while the above discussion contains several specific implementation details, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims (12)

1. A method of feature information processing, comprising:

acquiring a target image;

acquiring feature information of at least one preset position in the target image; and

and searching historical characteristic information matched with the characteristic information from a database, and acquiring page information corresponding to the matched historical characteristic information if the database comprises the historical characteristic information matched with the characteristic information.

2. The method according to claim 1, wherein the obtaining feature information of at least one preset position in the target image comprises:

acquiring first characteristic information of a first preset position; and

and acquiring second characteristic information of a second preset position.

3. The method according to claim 2, wherein the first characteristic information is page number information, and the second characteristic information is text information and/or color information.

4. The method of claim 3, wherein the searching the database for the historical feature information matching the feature information comprises:

searching historical characteristic information matched with the first characteristic information and the second characteristic information from the database to obtain a first matching result; if the first matching result is successfully obtained, the first matching result is the matched historical characteristic information; and if the first matching result fails to be obtained, searching historical characteristic information matched with the first characteristic information and the character information from the database.

5. The method of claim 2, further comprising:

acquiring a related image of the target image;

acquiring an incidence relation between the target image and the incidence image; and

and acquiring third characteristic information of the associated image from the database according to the first characteristic information and the association relation.

6. The method of claim 5, wherein the obtaining the association relationship between the target image and the associated image comprises:

acquiring fourth feature information of a third preset position in the associated image; and

comparing the obtained fourth characteristic information with the first characteristic information to obtain the association relation;

wherein the third preset position in the associated image corresponds to the first preset position in the target image.

7. The method according to claim 1, wherein the obtaining page information corresponding to the matched historical feature information comprises:

displaying the page information in a preset display area;

the page information comprises historical operation information of the user in the target image.

8. The method of claim 1, further comprising:

if the database does not include the historical characteristic information matched with the characteristic information, recording the characteristic information in the database, and establishing page information corresponding to the characteristic information in the database.

9. The method of claim 8, further comprising:

and acquiring user operation information related to the target image, and storing a display result corresponding to the user operation information into page information corresponding to the characteristic information.

10. An apparatus of feature information processing, comprising:

the acquisition module is used for acquiring an image; acquiring feature information of at least one preset position in the image; and

and the processing module is used for searching historical characteristic information matched with the characteristic information from a database, and acquiring page information corresponding to the matched historical characteristic information if the database comprises the historical characteristic information matched with the characteristic information.

11. A terminal, comprising:

at least one memory and at least one processor;

wherein the at least one memory is configured to store program code and the at least one processor is configured to invoke the program code stored in the at least one memory to perform the method of any of claims 1 to 9.

12. A non-transitory storage medium storing program code which, when executed by a computer device, causes the computer device to perform the method of any one of claims 1 to 9.

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