CN113448925A - Test question picture optimization method and device, computer equipment and storage medium - Google Patents

Test question picture optimization method and device, computer equipment and storage medium Download PDF

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Publication number
CN113448925A
CN113448925A CN202110713514.1A CN202110713514A CN113448925A CN 113448925 A CN113448925 A CN 113448925A CN 202110713514 A CN202110713514 A CN 202110713514A CN 113448925 A CN113448925 A CN 113448925A
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picture
test question
information
test
question
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何华强
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Dongguan ELF Education Software Co Ltd
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Dongguan ELF Education Software Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/16File or folder operations, e.g. details of user interfaces specifically adapted to file systems
    • G06F16/162Delete operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content

Abstract

The embodiment of the invention discloses a test question picture optimization method, which comprises the steps of constructing an initial test question picture library; when a picture warehousing instruction is received, acquiring a picture of the test questions to be warehoused, which is contained in the picture warehousing instruction, identifying the picture of the test questions to be warehoused, and obtaining second test question information and second picture parameters of the picture of the test questions to be warehoused; searching in the initial test question picture library based on the second test question information; if the first test question information consistent with the second test question information exists; when the second picture parameter is superior to the first picture parameter, warehousing the picture of the test question to be warehoused to the initial test question picture library; and if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, warehousing the test question pictures to be warehoused into the second test question picture library, and automatically iterating and warehousing the test question pictures by combining the comparison of the initial test question picture library, so that the picture question quality is automatically optimized, the question quantity of the test question pictures is expanded, and the experience of a user in answering the test questions is improved.

Description

Test question picture optimization method and device, computer equipment and storage medium
Technical Field
The invention relates to the technical field of image processing, in particular to a test question picture optimization method and device, computer equipment and a storage medium.
Background
Along with the development of network and science and technology, people's study mode is more and more diversified, and is also more and more convenient, if utilize the family education machine to study, can involve the simulation examination in carrying out the learning process, and this just requires the family education machine to provide the examination question picture.
However, the current test question pictures are mainly made and put in storage or taken by users for uploading. The method has the advantages that certain breadth limitation exists on the input test question making picture, the quantity and richness of the test questions can be reduced, the picture taken by a user has the problem that the randomness and the definition are difficult to meet the requirements, and the use scene of the picture questions cannot be well met.
Disclosure of Invention
In view of the above, it is necessary to provide a method and an apparatus for optimizing a test question picture, a computer device and a storage medium, which can automatically optimize the quality of the test question picture and expand the quantity of questions.
A method for optimizing test question pictures, the method comprising:
constructing an initial test question picture library, wherein the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture;
when a picture warehousing instruction is received, acquiring a picture of the test questions to be warehoused, which is contained in the picture warehousing instruction, identifying the picture of the test questions to be warehoused, and obtaining second test question information and second picture parameters of the picture of the test questions to be warehoused;
searching in the initial test question picture library based on the second test question information;
if first test question information consistent with second test question information exists, taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture;
comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library;
and if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, and warehousing the test question pictures to be warehoused into the second test question picture library.
An apparatus for optimizing a test question picture, the apparatus comprising:
the system comprises a construction module, a storage module and a processing module, wherein the construction module is used for constructing an initial test question picture library, and the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture;
the receiving module is used for acquiring a picture of the test questions to be put in storage, which is contained in the picture putting-in instruction, when the picture putting-in instruction is received, identifying the picture of the test questions to be put in storage, and acquiring second test question information and second picture parameters of the picture of the test questions to be put in storage;
the retrieval module is used for retrieving in the initial test question picture library based on the second test question information;
the determination module is used for taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture if the first test question information consistent with the second test question information exists;
the comparison module is used for comparing a first picture parameter of the candidate picture with a second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library;
and the warehousing module is used for constructing a second test question picture library if the first test question information consistent with the second test question information does not exist, and warehousing the test question pictures to be warehoused to the second test question picture library.
A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of:
constructing an initial test question picture library, wherein the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture;
when a picture warehousing instruction is received, acquiring a picture of the test questions to be warehoused, which is contained in the picture warehousing instruction, identifying the picture of the test questions to be warehoused, and obtaining second test question information and second picture parameters of the picture of the test questions to be warehoused;
searching in the initial test question picture library based on the second test question information;
if first test question information consistent with second test question information exists, taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture;
comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library;
and if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, and warehousing the test question pictures to be warehoused into the second test question picture library.
A computer-readable medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
constructing an initial test question picture library, wherein the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture;
when a picture warehousing instruction is received, acquiring a picture of the test questions to be warehoused, which is contained in the picture warehousing instruction, identifying the picture of the test questions to be warehoused, and obtaining second test question information and second picture parameters of the picture of the test questions to be warehoused;
searching in the initial test question picture library based on the second test question information;
if first test question information consistent with second test question information exists, taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture;
comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library;
and if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, and warehousing the test question pictures to be warehoused into the second test question picture library.
The test question picture optimization method, the test question picture optimization device, the computer equipment and the storage medium construct an initial test question picture library, wherein the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture; when a picture warehousing instruction is received, acquiring a picture of the test questions to be warehoused, which is contained in the picture warehousing instruction, identifying the picture of the test questions to be warehoused, and obtaining second test question information and second picture parameters of the picture of the test questions to be warehoused; searching in the initial test question picture library based on the second test question information; if first test question information consistent with second test question information exists, taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture; comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library; and if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, warehousing the test question pictures to be warehoused into the second test question picture library, analyzing and comparing the test question pictures, realizing self iteration and optimization of the test question pictures, improving the quality of the test question pictures, expanding the question quantity of the test question pictures and improving the user experience.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Wherein:
FIG. 1 is a flow chart of a method for optimizing test question pictures in one embodiment;
FIG. 2 is a flowchart illustrating a method for obtaining an image of a test question to be put in storage according to an embodiment;
FIG. 3 is a flowchart of a method for determining second test question information and second picture parameters in one embodiment;
FIG. 4 is a flow diagram of a method for determining the completeness of a second picture parameter in one embodiment;
FIG. 5 is a flowchart illustrating a method for comparing a first picture parameter to a second picture parameter according to an embodiment;
FIG. 6 is a block diagram showing the structure of an apparatus for optimizing test question pictures according to an embodiment;
FIG. 7 is a block diagram of a computer device in one embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
As shown in fig. 1, in an embodiment, a method for optimizing a test question picture is provided, where the method for optimizing a test question picture can be applied to a terminal or a server, and the embodiment is exemplified by being applied to the server. The test question picture optimization method specifically comprises the following steps:
step 102, an initial test question picture library is established, wherein the initial test question picture library comprises a plurality of initial test question pictures, first test question information of each initial test question picture and first picture parameters.
The initial test question picture refers to a qualified test question picture which is pre-input to the server, and an initial test question picture library is formed for a plurality of initial test question pictures so as to be used as a standard for judging whether the test question pictures shot or uploaded by a user meet the optimized balance. The first test question information refers to content information of the initial test question picture, such as OCR content information, and the first picture parameter refers to a parameter reflecting the quality of the initial test question picture, for example, color information, resolution, integrity or angle of the test question picture, and the like.
And 104, when receiving a picture warehousing instruction, acquiring a picture of the to-be-warehoused test questions contained in the picture warehousing instruction, and identifying the picture of the to-be-warehoused test questions to obtain second test question information and second picture parameters of the picture of the to-be-warehoused test questions.
The picture to be put in storage is a test question picture shot or uploaded by a user, the second test question information is content information of the test question picture to be put in storage, and the second picture parameter is a quality parameter of the test question picture to be put in storage. And the determining methods of the first test question information and the second test question information are consistent, for example, an OCR (optical character recognition) method is used for recognition and acquisition, and the parameter types of the first picture parameter and the second picture parameter are consistent with the determining method. It can be understood that, in this embodiment, by obtaining the picture of the test questions to be put in storage, based on the comparison between the picture of the test questions to be put in storage and the initial picture of the test questions, it is further ensured that the subsequent picture of the test questions with better quality and richer question amount can be selected.
And 106, searching in the initial test question picture library based on the second test question information.
Specifically, the second test question information is used as a retrieval condition, retrieval is carried out in the initial test question picture library, whether the content information of the test question picture to be put in the library is repeated with the content of one initial test question picture in the initial test question picture library or not is determined according to the retrieval result, and therefore the accuracy of subsequent optimization of the initial test question picture library is guaranteed.
And step 108, if the first test question information consistent with the second test question information exists, taking the initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture.
The candidate pictures refer to initial test question pictures which are repeated with the contents of the test question pictures to be put in storage. Specifically, when the first test question information consistent with the second test question information exists, it is indicated that the content of the to-be-put test question picture is repeated with the content of one initial test question picture in the initial test question picture library, so that the initial test question picture corresponding to the first test question information consistent with the second test question information is taken as a candidate picture, and then quality comparison is performed subsequently based on the candidate picture, so as to realize automatic iteration and optimization of the test question picture.
And 110, comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture to be warehoused to the initial test question picture library.
The preset comparison rule is used for comparing the quality of the test question picture to be stored and the initial test question picture. For example, the size of one parameter included in the first picture parameter and the second picture parameter may be directly compared, or the result of calculating each parameter included in the first picture parameter and the second picture parameter according to the calculation rule of weighted summation may be compared. As the optimization in the embodiment, the latter comparison rule is selected to ensure the accuracy and comprehensiveness of the comparison.
When the second picture parameter is superior to the first picture parameter, the quality of the picture of the test question to be put in storage is indicated to be better, so that the candidate picture is deleted, the picture of the test question to be put in storage is put into the initial test question picture library, automatic iteration and optimization of the initial test question picture library are realized, and the quality of the initial test question picture library is improved.
And step 112, if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, and warehousing the test question pictures to be warehoused into the second test question picture library.
Specifically, when the first test question information consistent with the second test question information does not exist, the test questions in the to-be-put test question picture are shown as new questions, so that the second test question picture library is constructed, and the to-be-put test question picture is put into the second test question picture library, so that the problem quantity expansion of the test question picture is realized, and the richness of the problem quantity of the test question picture is improved.
The method for optimizing the test question picture comprises the steps of constructing an initial test question picture library, wherein the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture; when a picture warehousing instruction is received, acquiring a picture of the test questions to be warehoused, which is contained in the picture warehousing instruction, identifying the picture of the test questions to be warehoused, and obtaining second test question information and second picture parameters of the picture of the test questions to be warehoused; searching in the initial test question picture library based on the second test question information; if the first test question information consistent with the second test question information exists, taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture; comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library; and if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, warehousing the test question pictures to be warehoused into the second test question picture library, and automatically iterating and warehousing the test question pictures by combining the comparison of the initial test question picture library, so that the picture question quality is automatically optimized, the question quantity of the test question pictures is expanded, and the experience of a user in answering the test questions is improved.
It should be noted that, for the second test question picture library, when a test question picture to be put into a library is subsequently received, the method from step 102 to step 112 may be adopted to continuously optimize the second test question picture library, and construct a third test question picture library, so as to further optimize and iterate the test question picture, and further expand the question amount of the picture questions.
As shown in fig. 2, in an embodiment, the picture of the test questions to be put in storage is obtained by controlling the shooting device to shoot the picture questions according to a preset shooting mode, where the preset shooting mode includes:
step 104A, setting a shooting frame when a shooting interface of the shooting equipment is started, and adjusting a picture title to be positioned in the shooting frame;
and step 104B, when the question number information of the picture question is detected, setting at least one sub-shooting frame in the shooting frame according to the question number information and the corresponding question number position, and adjusting the interval of each sub-shooting frame to be consistent with the interval between the question numbers for shooting to obtain the picture of the question to be put in storage.
In this embodiment, a shooting frame is set when a shooting interface of the shooting device is started, for example, an interface of a picture to be shot by a user, a shooting mine with two horizontal and vertical guide lines is set, and the user is guided to adjust the horizontal and vertical directions of the picture of the test question, so as to obtain a more standard picture of the test question to be put in storage. Further, when the question number information of the picture questions is detected, the user can automatically pre-frame the test questions according to the question number information and the question number positions when photographing the picture questions, namely, each question number is provided with one sub-photographing ore, and the interval of each sub-photographing frame is adjusted to be consistent with the interval between the question numbers for photographing, so that the standard picture of the test questions to be put in storage is obtained. In this embodiment, the accuracy of the angle of the to-be-put-in test question picture is ensured by setting the shooting frame, so that the to-be-put-in test question picture is more standard.
As shown in fig. 3, in an embodiment, the second test question information and/or the first test question information includes key text information of the test question, and the second picture parameter and/or the first picture parameter includes a picture file memory, a resolution, a color value, and a completeness; identifying the picture of the test questions to be put in storage to obtain second test question information and second picture parameters of the picture of the test questions to be put in storage, wherein the steps comprise:
step 104C, identifying the initial test question picture by adopting an optical character identification method to obtain first test question information, and identifying the to-be-put test question picture by adopting the optical character identification method to obtain second test question information;
step 104D, acquiring pixel information of the picture to be put into storage, and calculating based on the pixel information to obtain resolution and picture file memory;
step 104E, acquiring the color depth and the bit depth of the picture of the test question to be put in storage, and determining a color value based on the color depth and the bit depth;
step 104F, determining the integrity based on the test question key word information in the first test question information and the test question key word information in the second test question information; or, determining the integrity according to the second test question information.
In this embodiment, an optical character recognition algorithm is first used to recognize the initial test question picture and the to-be-put test question picture to obtain first test question information and second test question information. Acquiring pixel information of a to-be-put test question picture through a pixel acquisition tool in the OPENCV; according to a calculation formula of a picture file memory: the picture file memory is calculated as the memory space occupied by the picture length (pixel) × the picture width (pixel) × one pixel. According to a calculation formula of the resolution: the resolution is calculated as a picture length (pixel) × picture width (pixel). The bit depth refers to the number of bits used to store each pixel, and the color depth refers to how many bits are used to store the color for each pixel. The color depth and the bit depth of the picture of the test question to be put in storage are obtained, and the color value is determined according to the color depth and the bit depth, for example, the sum or the product of the color depth and the bit depth can be calculated to be used as the color value. The integrity is a parameter for reflecting the integrity of the picture of the test questions to be put in storage, and the integrity can be determined according to the key character information of the test questions in the first test question information and the key character information of the test questions in the second test question information, for example, when the key character information of the test questions in the first test question information and the key character information of the test questions in the second test question information are completely consistent, the integrity in the second picture parameter is determined to be 100%, the first test question information in the initial test question library includes the second test question information, the integrity in the second picture parameter is determined to be less than 100%, and specifically, the integrity can be set to be 0. Or, the integrity is determined according to the second test question information, and the integrity in the second picture parameter can be judged according to the semantic information of the second test question information. In this embodiment, quantitative calculation of the second picture parameter is realized by analyzing the picture of the test question to be put in storage, so that more accurate comparison and optimization can be performed subsequently based on the second picture parameter. It should be noted that the calculation method of the first picture parameter of the initial test question picture is consistent with the calculation method of the second picture parameter, so as to ensure the accuracy of the subsequent comparison.
As shown in fig. 4, in one embodiment, determining the integrity according to the second test question information includes:
step 104F1, analyzing the key character information, the picture information and the table information of the test questions in the second test question information respectively, and detecting whether the numbers corresponding to the question numbers in the key character information of the test questions are continuous or not to obtain a first detection result;
step 104F2, detecting whether picture information or table information with the semanteme consistent with the key character information of the test question exists in the second test question information to obtain a second detection result;
and step 104F3, determining the integrity according to the first detection result and the second detection result.
In this embodiment, the key text information, the picture information and the table information of the test question in the second test question information are analyzed respectively to detect whether the numbers corresponding to the question numbers in the key text information of the test question are continuous or not to obtain a first detection result, when the numbers corresponding to the question numbers are continuous, the first detection result is determined to be complete, and when the numbers corresponding to the question numbers are discontinuous, the first detection result is determined to be incomplete, for example, the key text information of the test question has a question (1) but no question (2). Whether picture information or table information consistent with the semantics of the key word information of the test question exists or not is detected in the second test question information, when the picture information or the table information consistent with the semantics of the key word information of the test question exists, the second detection result is judged to be complete, and when the picture information or the table information consistent with the semantics of the key word information of the test question does not exist, the second detection result is judged to be incomplete, for example, the key words of the test question include 'like a picture', 'see a table' and the like, but the picture information or the table information does not exist in the second test question information, so that the high-efficiency detection of the integrity in the second picture parameter is realized.
As shown in fig. 5, in an embodiment, comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule includes:
step 110A, acquiring preset weights corresponding to the memory, the resolution, the color value and the integrity of the picture file;
step 110B, performing weighted calculation on the first picture parameter based on the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight to obtain a first target parameter;
step 110C, performing weighted calculation on the second picture parameter based on the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight to obtain a second target parameter;
and step 110D, when the second target parameter is larger than the first target parameter, judging that the second picture parameter is better than the first picture parameter.
In this embodiment, preset weights corresponding to the memory, the resolution, the color value and the integrity of the picture file are obtained in advance, and then weighted summation calculation is performed based on each parameter value in the first picture parameter and the second picture parameter, so that quantitative calculation of the first picture parameter and the second picture parameter is realized, a specific numerical value is obtained, and the accuracy and the comprehensiveness of comparison are ensured.
In one embodiment, based on the second test question information, the search is performed in the initial test question picture library, which comprises: taking the first test question information as a first index value of an initial test question picture, and taking the second test question information as a second index value of a to-be-put test question picture; and searching in the plurality of first index values to find whether the first index value consistent with the second index value exists.
Specifically, the first test question information is used as a first index value of an initial test question picture, the second test question information is used as a second index value of a to-be-put test question picture, searching is performed in the plurality of first index values, and whether the first index value consistent with the second index value exists or not is searched, so that the searching efficiency is improved only by matching the first index value with the second index value.
In one embodiment, after warehousing the test question picture to be warehoused into the second test question picture library, the method further comprises: when a user answer instruction is detected, acquiring a target index value contained in the user answer instruction; searching corresponding target test question pictures in the initial test question picture library and the second test question picture library according to the target index value; and sending the target test question picture to the user for answering.
Specifically, the target test question picture is the test question picture subjected to iterative optimization, so that the picture with the optimal quality is always used by the user, and the user experience is improved.
As shown in fig. 6, in one embodiment, an apparatus for optimizing a test question picture is provided, the apparatus comprising:
a building module 602, configured to build an initial test question picture library, where the initial test question picture library includes multiple initial test question pictures, and first test question information and first picture parameters of each initial test question picture;
the receiving module 604 is configured to, when a picture warehousing instruction is received, acquire a picture of the to-be-warehoused test questions included in the picture warehousing instruction, identify the picture of the to-be-warehoused test questions, and obtain second test question information and second picture parameters of the picture of the to-be-warehoused test questions;
a retrieval module 606, configured to retrieve from the initial test question picture library based on the second test question information;
a determining module 608, configured to, if there is first test question information that is consistent with second test question information, take an initial test question picture corresponding to the first test question information that is consistent with the second test question information as a candidate picture;
a comparison module 610, configured to compare a first picture parameter of the candidate picture with the second picture parameter according to a preset comparison rule, delete the candidate picture when the second picture parameter is better than the first picture parameter, and store the to-be-stored test question picture in the initial test question picture library;
and the warehousing module 612 is configured to, if the first test question information consistent with the second test question information does not exist, construct a second test question picture library, and warehouse the to-be-warehoused test question picture into the second test question picture library.
In one embodiment, the receiving module comprises:
the first adjusting unit is used for setting a shooting frame when a shooting interface of the shooting device is started, and adjusting the picture title to be positioned in the shooting frame;
and the second adjusting unit is used for setting at least one sub-shooting frame in the shooting frame according to the question number information and the corresponding question number position when the question number information of the picture question is detected, and adjusting the interval of each sub-shooting frame to be consistent with the interval between the question numbers for shooting to obtain the picture of the question to be put in storage.
In one embodiment, the receiving module further comprises:
the identification unit is used for identifying the initial test question picture by adopting an optical character identification method to obtain the first test question information, and identifying the to-be-put test question picture by adopting the optical character identification method to obtain the second test question information;
the computing unit is used for acquiring the pixel information of the picture of the examination questions to be put in storage and computing the resolution and the picture file memory based on the pixel information;
the first determining unit is used for acquiring the color depth and the bit depth of the picture of the examination questions to be put in storage and determining the color value based on the color depth and the bit depth;
a second determination unit, configured to determine the integrity based on the test question key word information in the first test question information and the test question key word information in the second test question information; or, determining the integrity according to the second test question information.
In one embodiment, the second determination unit includes:
the analysis subunit is configured to analyze the test question key word information, the picture information, and the table information in the second test question information, and detect whether numbers corresponding to question numbers in the test question key word information are consecutive to obtain a first detection result;
the detection subunit is used for detecting whether picture information or table information with the semantic consistent with the key character information of the test question exists in the second test question information to obtain a second detection result;
and the determining subunit is used for determining the integrity according to the first detection result and the second detection result.
In one embodiment, the alignment module comprises:
the acquisition unit is used for acquiring preset weights corresponding to the memory, the resolution, the color value and the integrity of the picture file;
the first calculation unit is used for carrying out weighted calculation on the basis of the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight aiming at the first picture parameter to obtain a first target parameter;
the first calculating unit is used for carrying out weighted calculation on the second picture parameter based on the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight to obtain a second target parameter;
a third determining unit, configured to determine that the second picture parameter is better than the first picture parameter when the second target parameter is greater than the first target parameter.
In one embodiment, the retrieval module comprises:
the identification unit is used for taking the first test question information as a first index value of the initial test question picture and taking the second test question information as a second index value of the to-be-put test question picture;
and the searching unit is used for searching in the plurality of first index values and searching whether the first index value consistent with the second index value exists or not.
In one embodiment, the apparatus for optimizing test question pictures further includes:
the detection module is used for acquiring a target index value contained in a user answer instruction when the user answer instruction is detected;
the searching module is used for searching corresponding target test question pictures in the initial test question picture library and the second test question picture library according to the target index value;
and the sending module is used for sending the target test question picture to the user for answering.
FIG. 7 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be a server including, but not limited to, a high performance computer and a cluster of high performance computers. As shown in fig. 7, the computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and also stores a computer program, and when the computer program is executed by the processor, the computer program can enable the processor to realize the test question picture optimization method. The internal memory may also store a computer program, and when the computer program is executed by the processor, the computer program may cause the processor to execute the method for optimizing the test question picture. Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the method for optimizing test question pictures provided by the present application can be implemented in the form of a computer program, and the computer program can be run on a computer device as shown in fig. 7. The memory of the computer device can store various program templates which form the test question picture optimizing device. For example, the module includes a building module 602, a receiving module 604, a retrieving module 606, a determining module 608, a comparing module 610, and a warehousing module 612.
A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the following steps when executing the computer program: constructing an initial test question picture library, wherein the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture; when a picture warehousing instruction is received, acquiring a picture of the test questions to be warehoused, which is contained in the picture warehousing instruction, identifying the picture of the test questions to be warehoused, and obtaining second test question information and second picture parameters of the picture of the test questions to be warehoused; searching in the initial test question picture library based on the second test question information; if first test question information consistent with second test question information exists, taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture; comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library; and if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, and warehousing the test question pictures to be warehoused into the second test question picture library.
In one embodiment, the picture of the test questions to be put in storage is obtained by controlling a shooting device to shoot the picture questions according to a preset shooting mode, and the preset shooting mode includes: setting a shooting frame when a shooting interface of the shooting equipment is started, and adjusting the picture title to be positioned in the shooting frame; when the question number information of the picture question is detected, at least one sub-shooting frame is arranged in the shooting frame according to the question number information and the corresponding question number position, the interval of each sub-shooting frame is adjusted to be consistent with the interval between the question numbers, shooting is carried out, and the picture of the question to be put in storage is obtained.
In one embodiment, the second test question information and/or the first test question information includes key text information of the test question, and the second picture parameter and/or the first picture parameter includes picture file memory, resolution, color value and integrity; the identifying the picture of the test questions to be put in storage to obtain second test question information and second picture parameters of the picture of the test questions to be put in storage comprises the following steps: adopting an optical character recognition method to recognize the initial test question picture to obtain first test question information, and adopting the optical character recognition method to recognize the to-be-put test question picture to obtain second test question information; acquiring pixel information of the picture of the examination questions to be put in storage, and calculating based on the pixel information to obtain the resolution and the picture file memory; acquiring the color depth and the bit depth of the picture of the examination questions to be put in storage, and determining the color value based on the color depth and the bit depth; determining the integrity based on the test question key word information in the first test question information and the test question key word information in the second test question information; or, determining the integrity according to the second test question information.
In one embodiment, the determining the integrity according to the second test question information includes: analyzing the key character information, the picture information and the table information of the test questions in the second test question information respectively, and detecting whether the numbers corresponding to the question numbers in the key character information of the test questions are continuous or not to obtain a first detection result; detecting whether picture information or table information with the semanteme consistent with the key character information of the test question exists in the second test question information to obtain a second detection result; and determining the integrity according to the first detection result and the second detection result.
In one embodiment, the comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule includes: acquiring preset weights corresponding to the memory, the resolution, the color value and the integrity of the picture file; for the first picture parameter, performing weighted calculation based on the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight to obtain a first target parameter; for the second picture parameter, performing weighted calculation based on the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight to obtain a second target parameter; and when the second target parameter is larger than the first target parameter, judging that the second picture parameter is better than the first picture parameter.
In one embodiment, the retrieving in the initial test question picture library based on the second test question information includes: taking the first test question information as a first index value of the initial test question picture, and taking the second test question information as a second index value of the to-be-put test question picture; and searching in the plurality of first index values to find out whether the first index value consistent with the second index value exists.
In one embodiment, after the warehousing the to-be-warehoused test question picture into the second test question picture library, the method further includes: when a user answer instruction is detected, acquiring a target index value contained in the user answer instruction; searching corresponding target test question pictures in the initial test question picture library and the second test question picture library according to the target index value; and sending the target test question picture to the user for answering.
A computer-readable storage medium storing a computer program, the computer program when executed by a processor implementing the steps of: constructing an initial test question picture library, wherein the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture; when a picture warehousing instruction is received, acquiring a picture of the test questions to be warehoused, which is contained in the picture warehousing instruction, identifying the picture of the test questions to be warehoused, and obtaining second test question information and second picture parameters of the picture of the test questions to be warehoused; searching in the initial test question picture library based on the second test question information; if first test question information consistent with second test question information exists, taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture; comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library; and if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, and warehousing the test question pictures to be warehoused into the second test question picture library.
In one embodiment, the picture of the test questions to be put in storage is obtained by controlling a shooting device to shoot the picture questions according to a preset shooting mode, and the preset shooting mode includes: setting a shooting frame when a shooting interface of the shooting equipment is started, and adjusting the picture title to be positioned in the shooting frame; when the question number information of the picture question is detected, at least one sub-shooting frame is arranged in the shooting frame according to the question number information and the corresponding question number position, the interval of each sub-shooting frame is adjusted to be consistent with the interval between the question numbers, shooting is carried out, and the picture of the question to be put in storage is obtained.
In one embodiment, the second test question information and/or the first test question information includes key text information of the test question, and the second picture parameter and/or the first picture parameter includes picture file memory, resolution, color value and integrity; the identifying the picture of the test questions to be put in storage to obtain second test question information and second picture parameters of the picture of the test questions to be put in storage comprises the following steps: adopting an optical character recognition method to recognize the initial test question picture to obtain first test question information, and adopting the optical character recognition method to recognize the to-be-put test question picture to obtain second test question information; acquiring pixel information of the picture of the examination questions to be put in storage, and calculating based on the pixel information to obtain the resolution and the picture file memory; acquiring the color depth and the bit depth of the picture of the examination questions to be put in storage, and determining the color value based on the color depth and the bit depth; determining the integrity based on the test question key word information in the first test question information and the test question key word information in the second test question information; or, determining the integrity according to the second test question information.
In one embodiment, the determining the integrity according to the second test question information includes: analyzing the key character information, the picture information and the table information of the test questions in the second test question information respectively, and detecting whether the numbers corresponding to the question numbers in the key character information of the test questions are continuous or not to obtain a first detection result; detecting whether picture information or table information with the semanteme consistent with the key character information of the test question exists in the second test question information to obtain a second detection result; and determining the integrity according to the first detection result and the second detection result.
In one embodiment, the comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule includes: acquiring preset weights corresponding to the memory, the resolution, the color value and the integrity of the picture file; for the first picture parameter, performing weighted calculation based on the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight to obtain a first target parameter; for the second picture parameter, performing weighted calculation based on the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight to obtain a second target parameter; and when the second target parameter is larger than the first target parameter, judging that the second picture parameter is better than the first picture parameter.
In one embodiment, the retrieving in the initial test question picture library based on the second test question information includes: taking the first test question information as a first index value of the initial test question picture, and taking the second test question information as a second index value of the to-be-put test question picture; and searching in the plurality of first index values to find out whether the first index value consistent with the second index value exists.
In one embodiment, after the warehousing the to-be-warehoused test question picture into the second test question picture library, the method further includes: when a user answer instruction is detected, acquiring a target index value contained in the user answer instruction; searching corresponding target test question pictures in the initial test question picture library and the second test question picture library according to the target index value; and sending the target test question picture to the user for answering.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A test question picture optimization method is characterized by comprising the following steps:
constructing an initial test question picture library, wherein the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture;
when a picture warehousing instruction is received, acquiring a picture of the test questions to be warehoused, which is contained in the picture warehousing instruction, identifying the picture of the test questions to be warehoused, and obtaining second test question information and second picture parameters of the picture of the test questions to be warehoused;
searching in the initial test question picture library based on the second test question information;
if first test question information consistent with second test question information exists, taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture;
comparing the first picture parameter and the second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library;
and if the first test question information consistent with the second test question information does not exist, constructing a second test question picture library, and warehousing the test question pictures to be warehoused into the second test question picture library.
2. The method for optimizing the test question picture according to claim 1, wherein the picture of the test question to be put in storage is obtained by controlling a shooting device to shoot the picture question according to a preset shooting mode, and the preset shooting mode comprises:
setting a shooting frame when a shooting interface of the shooting equipment is started, and adjusting the picture title to be positioned in the shooting frame;
when the question number information of the picture question is detected, at least one sub-shooting frame is arranged in the shooting frame according to the question number information and the corresponding question number position, the interval of each sub-shooting frame is adjusted to be consistent with the interval between the question numbers, shooting is carried out, and the picture of the question to be put in storage is obtained.
3. The method for optimizing the test question picture according to claim 1, wherein the second test question information and/or the first test question information includes key text information of the test question, and the second picture parameter and/or the first picture parameter includes picture file memory, resolution, color value and integrity; the identifying the picture of the test questions to be put in storage to obtain second test question information and second picture parameters of the picture of the test questions to be put in storage comprises the following steps:
adopting an optical character recognition method to recognize the initial test question picture to obtain first test question information, and adopting the optical character recognition method to recognize the to-be-put test question picture to obtain second test question information;
acquiring pixel information of the picture of the examination questions to be put in storage, and calculating based on the pixel information to obtain the resolution and the picture file memory;
acquiring the color depth and the bit depth of the picture of the examination questions to be put in storage, and determining the color value based on the color depth and the bit depth;
determining the integrity based on the test question key word information in the first test question information and the test question key word information in the second test question information; or, determining the integrity according to the second test question information.
4. The method for optimizing test question pictures according to claim 1, wherein the determining the completeness according to the second test question information includes:
analyzing the key character information, the picture information and the table information of the test questions in the second test question information respectively, and detecting whether the numbers corresponding to the question numbers in the key character information of the test questions are continuous or not to obtain a first detection result;
detecting whether picture information or table information with the semanteme consistent with the key character information of the test question exists in the second test question information to obtain a second detection result;
and determining the integrity according to the first detection result and the second detection result.
5. The method for optimizing test question pictures according to claim 3, wherein the comparing the first picture parameter of the candidate picture with the second picture parameter according to a preset comparison rule comprises:
acquiring preset weights corresponding to the memory, the resolution, the color value and the integrity of the picture file;
for the first picture parameter, performing weighted calculation based on the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight to obtain a first target parameter;
for the second picture parameter, performing weighted calculation based on the picture file memory, the resolution, the color value, the integrity and the corresponding preset weight to obtain a second target parameter;
and when the second target parameter is larger than the first target parameter, judging that the second picture parameter is better than the first picture parameter.
6. The method for optimizing test question pictures according to claim 2, wherein the retrieving in the initial test question picture library based on the second test question information comprises:
taking the first test question information as a first index value of the initial test question picture, and taking the second test question information as a second index value of the to-be-put test question picture;
and searching in the plurality of first index values to find out whether the first index value consistent with the second index value exists.
7. The method for optimizing test question pictures according to claim 6, wherein after said warehousing the test question pictures to be warehoused into the second test question picture warehouse, the method further comprises:
when a user answer instruction is detected, acquiring a target index value contained in the user answer instruction;
searching corresponding target test question pictures in the initial test question picture library and the second test question picture library according to the target index value;
and sending the target test question picture to the user for answering.
8. The test question picture optimizing device is characterized by comprising the following components:
the system comprises a construction module, a storage module and a processing module, wherein the construction module is used for constructing an initial test question picture library, and the initial test question picture library comprises a plurality of initial test question pictures, first test question information and first picture parameters of each initial test question picture;
the receiving module is used for acquiring a picture of the test questions to be put in storage, which is contained in the picture putting-in instruction, when the picture putting-in instruction is received, identifying the picture of the test questions to be put in storage, and acquiring second test question information and second picture parameters of the picture of the test questions to be put in storage;
the retrieval module is used for retrieving in the initial test question picture library based on the second test question information;
the determination module is used for taking an initial test question picture corresponding to the first test question information consistent with the second test question information as a candidate picture if the first test question information consistent with the second test question information exists;
the comparison module is used for comparing a first picture parameter of the candidate picture with a second picture parameter of the candidate picture according to a preset comparison rule, deleting the candidate picture when the second picture parameter is superior to the first picture parameter, and warehousing the picture of the test question to be warehoused into the initial test question picture library;
and the warehousing module is used for constructing a second test question picture library if the first test question information consistent with the second test question information does not exist, and warehousing the test question pictures to be warehoused to the second test question picture library.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the test question picture optimization method according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the test question picture optimization method according to any one of claims 1 to 7.
CN202110713514.1A 2021-06-25 2021-06-25 Test question picture optimization method and device, computer equipment and storage medium Pending CN113448925A (en)

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