CN112365402B - Intelligent winding method and device, storage medium and electronic equipment - Google Patents
Intelligent winding method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention provides an intelligent volume grouping method, which comprises the steps of acquiring a plurality of regional contents from a database based on a user volume grouping instruction; the database stores the regional content, the corresponding regional content labels and the corresponding analytic content; acquiring group volume picture information, and carrying out normalization operation on the area content based on the group volume picture information; splicing the region contents after normalization operation to generate corresponding group volume pictures; correcting the corresponding region content label based on the position of the region content in the group volume picture after normalization operation; and storing the normalized region content, the corrected region content label and the analysis content into a database to serve as electronic data corresponding to the group volume picture. The invention further provides an intelligent winding device, which effectively solves the technical problems of low efficiency, high cost and inconvenience in management when the existing operation content is combined by using secondary spreading code input.
Description
Technical Field
The present invention relates to the field of intelligent education, and in particular, to an intelligent scrolling method, apparatus, storage medium and electronic device.
Background
Dot matrix technology is to print or print a spreading code (such as spreading dot matrix code) on a paper text, and write by an electronic device (a dot writing pen, etc.) with a decoding chip module, so as to collect and restore handwriting written by a user. The user can write online or offline, and is not influenced by factors such as writing posture, angle, light, positioning and the like; compared with photographing or data acquisition on electronic equipment (mobile phone, computer and tablet), the vision of a user is protected more, and the user experience of immersion type is restored because the vision of the user is restored, so that the device can be more efficiently used for learning scenes of students.
However, the lattice technology has the defects that the paper text can be written and identified only by printing or printing a corresponding lattice code (or digital optical lattice code), and the text content, the corresponding code point coordinate range and ID information are required to be input in the system, so that handwriting reduction and handwriting identification result comparison can be performed.
Therefore, the current dot matrix technology is almost unidirectional product application, namely, after the corresponding content is input by spreading codes and writing identification is carried out, secondary combination of different contents cannot be realized, because the code points corresponding to the different contents are inconsistent, the content of the secondary combination must be re-spread to be reused, and the secondary code spreading and inputting of the content can cause the use of the content to become very complicated.
Therefore, when the lattice technology is used for combining the operation contents, the contents are often input through secondary code spreading and can be used, so that the efficiency is low, the cost is high, and the management is inconvenient.
Disclosure of Invention
The embodiment of the invention provides an intelligent winding method capable of realizing low cost and high efficiency, which effectively solves the technical problems of low efficiency, high cost and inconvenience in management when the existing operation content is combined by using secondary code input.
The embodiment of the invention provides an intelligent winding method, which comprises the following steps:
based on a user volume command, acquiring a plurality of regional contents from a database; the database stores the regional content, the corresponding regional content labels and the corresponding analytic content;
obtaining group volume picture information, and carrying out normalization operation on the regional content based on the group volume picture information;
splicing the regional content after the normalization operation to generate corresponding group volume pictures; correcting the corresponding region content label based on the position of the region content after the normalization operation in the group volume picture;
and storing the normalized regional content, the corrected regional content label and the analysis content into a database to serve as electronic data corresponding to the group volume picture.
In the intelligent volume grouping method according to the embodiment of the present invention, the intelligent volume grouping method further includes:
obtaining a reference picture, wherein the reference picture comprises point code content and picture content for positioning; the picture content comprises at least one region content;
determining the regional content in the reference picture, and performing marking operation on the regional content based on the point code content of the reference picture to obtain a regional content mark;
acquiring analysis content corresponding to the area content, wherein the analysis content, the area content label and the area content are in one-to-one correspondence;
storing the regional content, the regional content labels and the analytic content into a database; as the electronic data corresponding to the reference picture.
In the intelligent scrolling method according to the embodiment of the present invention, the area content index includes a picture information index for reflecting feature information of the reference picture, an area overall content coordinate index for reflecting a position feature of the area content in the reference picture, and an area associated content coordinate index for reflecting a position feature of an associated content in the area content.
In the intelligent volume grouping method of the embodiment of the present invention, the step of obtaining volume picture information and performing normalization operation on the area content based on the volume picture information includes:
acquiring the width of the group volume picture and the width of the area content in the group volume picture information;
if the width of the group volume picture is larger than the width of the region content, performing expansion white-keeping processing on the right side of the region content so that the width of the region content of the processed region content is equal to the width of the group volume picture;
if the width of the group volume picture is equal to the width of the regional content, not adjusting the regional content;
and if the width of the group volume picture is smaller than the width of the region content, performing a shrinking operation on the region content based on the ratio of the width of the group volume picture to the width of the region content, so that the width of the region content after processing is equal to the width of the group volume picture.
In the intelligent volume grouping method according to the embodiment of the present invention, the step of splicing the area content after the normalization operation to generate the corresponding volume grouping picture includes:
acquiring the volume picture height of the volume picture and the area content height of the area content after the normalization operation;
And sequentially performing splicing operation on the plurality of the area contents after the normalization operation, so that the height of the area contents after the current splicing operation is smaller than or equal to the height of the group volume picture, and the height of the area contents after the next splicing operation is larger than the height of the group volume picture.
In the intelligent scrolling method according to the embodiment of the present invention, the area content index includes a picture information index for reflecting feature information of the reference picture, an area overall content coordinate index for reflecting a position feature of the area content in the reference picture, and an area associated content coordinate index for reflecting a position feature of an associated content in the area content;
the step of correcting the corresponding region content label based on the position of the region content after the normalization operation in the group volume picture comprises the following steps:
correcting the picture information label corresponding to the area content label into a picture information label for reflecting the characteristic information of the group-rolled picture;
correcting the regional overall content label corresponding to the regional content label into a regional overall content coordinate label for reflecting the position characteristics of the regional content in the group volume picture;
And correcting the region associated content coordinate marks corresponding to the region content marks into the region associated content coordinate marks for reflecting the position characteristics of the associated content in the region content in the reference picture.
In the intelligent scrolling method according to the embodiment of the invention, the picture information labels include a publisher information label, a title information label, a book number information label and a page number information label;
the region integral content coordinate label comprises a minimum abscissa of region content, a minimum ordinate of region content, a maximum abscissa of region content and a maximum ordinate of region content;
the region associated content coordinate label comprises an associated content number of the associated content in the region content, a minimum abscissa of the associated content, a minimum ordinate of the associated content, a maximum abscissa of the associated content and a minimum ordinate of the associated content.
In the intelligent volume grouping method of the embodiment of the present invention, the step of obtaining volume picture information and performing normalization operation on the area content based on the volume picture information includes:
performing character recognition on the area content;
and acquiring the width of the group volume picture in the group volume picture information, and performing position adjustment processing on the text information in the text-identified area content by using an editor so that the area content width of the processed area content is equal to the width of the group volume picture.
In the intelligent volume grouping method according to the embodiment of the present invention, after the step of generating the corresponding volume grouping picture, the method further includes:
and respectively carrying out normalization operation on the colors of the content parts and the colors of the background parts of the group volume pictures.
The embodiment of the invention also provides an intelligent winding device, which comprises:
the regional content acquisition module is used for acquiring a plurality of regional contents from the database based on the user scrolling command; the database stores the regional content, the corresponding regional content labels and the corresponding analytic content;
the regional content normalization module is used for acquiring the group volume picture information and performing normalization operation on the regional content based on the group volume picture information;
the group volume picture generation module is used for splicing the region contents after the normalization operation to generate corresponding group volume pictures; correcting the corresponding region content label based on the position of the region content after the normalization operation in the group volume picture;
and the electronic data generation module is used for storing the normalized regional content, the corrected regional content label and the analysis content into a database to serve as electronic data corresponding to the group volume picture.
Embodiments of the present invention also provide a storage medium having stored therein processor-executable instructions that are loaded by one or more processors to perform the above-described intelligent chunking method.
The embodiment of the invention also provides electronic equipment, which comprises a processor and a memory, wherein the memory stores a computer program, and the processor is used for executing the intelligent volume grouping method by calling the computer program.
Compared with the prior art, the intelligent volume grouping method, the intelligent volume grouping device, the storage medium and the electronic equipment of the invention carry out the re-intelligent volume grouping operation by taking the area content as a unit, so that secondary code spreading operation on the volume grouping pictures is not needed, the cost of operation content combination operation is reduced, and the efficiency of operation content combination operation is improved; the method effectively solves the technical problems of low efficiency, high cost and inconvenience in management when the existing operation content is combined and the secondary spreading code is used for recording.
Drawings
FIG. 1 is a flow chart of an intelligent group roll method according to an embodiment of the present invention;
FIG. 2a is one of the flowcharts of step S102 of an embodiment of the intelligent scrolling method of the present invention;
FIG. 2b is a second flowchart of step S102 of an intelligent scrolling method according to an embodiment of the present invention;
FIG. 3 is a flowchart of the region content stitching of step S103 according to an embodiment of the intelligent scrolling method of the present invention;
FIG. 4 is a flowchart illustrating a method for generating a database in accordance with an embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating an embodiment of an intelligent scrolling device according to the present invention;
FIG. 6 is a schematic structural diagram of an electronic device corresponding to the intelligent scrolling method and the intelligent scrolling device according to the present invention;
FIG. 7 is a schematic diagram of a reference picture of an intelligent scrolling method and an intelligent scrolling device according to the present invention;
FIG. 8a is a schematic diagram illustrating the use of a title editor in an intelligent scrolling method and apparatus according to the present invention;
FIG. 8b is a schematic diagram of a structure of a scroll image of the intelligent scrolling method and the intelligent scrolling device according to the present invention;
fig. 9 is a schematic diagram of a working environment of an electronic device in which the job content feedback device of the present invention is located.
Detailed Description
Referring to the drawings, wherein like reference numbers represent like elements throughout, the principles of the present invention are illustrated in a suitable computing environment. The following description is based on illustrative embodiments of the invention and should not be taken as limiting other embodiments of the invention not described in detail herein.
In the description that follows, embodiments of the invention will be described with reference to the steps and symbols of operations performed by one or more computers, unless otherwise indicated. It will thus be appreciated that the steps and operations, to name a few, are performed by a computer, including being manipulated by a computer processing element representing electronic signals representing data in a structured form. This manipulation transforms the data or maintains it in a location within the computer's memory system, which may be re-configured or otherwise alter the computer's operation in a manner well known to those skilled in the art. The data structure maintained by the data is the physical location of the memory having specific characteristics defined by the data format. However, the principles of the present invention are described in the foregoing text and are not meant to be limiting, and those of skill in the art will appreciate that various of the steps and operations described below may also be implemented in hardware.
The intelligent volume grouping method and the intelligent volume grouping device can be arranged in any electronic equipment, are used for generating a database for storing regional contents, and can be used for quickly and effectively generating volume grouping pictures based on regional contents in the database. The electronic device may be a variety of electronic devices having a display screen including, but not limited to, wearable devices, head-mounted devices, personal computers, hand-held or laptop devices, mobile devices (such as mobile phones, personal Digital Assistants (PDAs), media players, etc.), multiprocessor systems, consumer electronics, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. According to the intelligent winding method and the intelligent winding device, the regional content is taken as a unit to perform the re-intelligent winding operation, so that secondary code spreading operation on winding pictures is not needed, the cost of operation content combination operation is reduced, and the efficiency of operation content combination operation is improved.
Referring to fig. 1, fig. 1 is a flowchart of an intelligent scrolling method according to an embodiment of the invention. The intelligent volume grouping method of the present embodiment may be implemented using the electronic device, and the intelligent volume grouping method includes:
step S101, based on a user scrolling instruction, acquiring a plurality of area contents from a database; the database stores the regional content, the corresponding regional content labels and the corresponding analytic content;
step S102, obtaining group volume picture information, and carrying out normalization operation on the regional content based on the group volume picture information;
step S103, splicing the area content after normalization operation to generate corresponding group volume pictures; correcting the corresponding region content label based on the position of the region content in the group volume picture after normalization operation;
step S104, storing the normalized regional content, the corrected regional content label and the analysis content into a database as electronic data corresponding to the group volume picture.
The following describes the specific flow of each step of the intelligent scrolling method in this embodiment in detail.
In step S101, the intelligent grouping apparatus (i.e. the electronic device) obtains a user grouping instruction, where the user needs to merge a plurality of area contents (job test question contents) in the database into a new grouping picture (e.g. a new test paper, etc.). The database stores regional content, regional content labels corresponding to the regional content and analytic content corresponding to the regional content.
The regional content can be the content of each operation test question in a book or a test paper.
The regional content labels corresponding to the regional content are parameter information of the operation test question content, and the regional content labels can comprise picture information labels used for reflecting characteristic information of a reference picture (namely an original book or a test paper) where the regional content is located, regional overall content coordinate labels used for reflecting position characteristics of the regional content in the reference picture, and regional associated content coordinate labels used for reflecting position characteristics of associated content in the regional content in the reference picture, so that specific content information of the regional content, size information of the regional content and position information of the associated content in the regional content can be obtained through the regional content labels. The picture format of the reference picture may be BMP, JPG, or the like, and PDF, or the like, which is convertible with the above-described format.
Wherein the picture information labels may include a publisher information label, a title information label, a number information label, a page number information label, and the like. The region global content coordinate index may include a minimum abscissa of region content, a minimum ordinate of region content, a maximum abscissa of region content, a maximum ordinate of region content, and the like. The region associated content coordinate reference may include an associated content number of the associated content, a minimum abscissa of the associated content, a minimum ordinate of the associated content, a maximum abscissa of the associated content, a maximum ordinate of the associated content, and the like in the region content.
The analysis content corresponding to the regional content can be the analysis content of the regional content from which the regional content is understood, such as the source, the topic, the subject, the version, the knowledge point, the answer, the analysis, the skill and the like.
The intelligent volume grouping device obtains a plurality of area contents, corresponding area content labels and corresponding analysis contents from the database according to the user volume grouping instruction.
In step S102, the intelligent winding device obtains winding picture information, where the winding picture information is parameter information of a winding picture to be generated, such as a winding picture width, a winding picture height, and a winding picture layout of the winding picture.
In order to ensure that the region content acquired in step S101 is spliced in the group volume picture, the intelligent group volume device needs to normalize the region content based on the group volume picture information, referring to fig. 2a, fig. 2a is one of the flowcharts of step S102 in an embodiment of the intelligent group volume method of the present invention. The step S102 includes:
in step S201a, the intelligent winding device obtains the winding picture width in the winding picture information and the area content width of the area content, wherein the area content width can be obtained by the difference between the minimum abscissa and the maximum abscissa of the area content.
Step S202a, the intelligent grouping apparatus judges the size relation between the width of the group volume picture and the width of the region content, if the width of the group volume picture is larger than the width of the region content, the process goes to step S203a; if the width of the group volume picture is equal to the width of the region content, go to step S204a; if the width of the group volume picture is smaller than the width of the region content, the process goes to step S205a.
In step S203a, in order to make the area content width of the area content compatible with the volume picture width, the intelligent volume device performs an expansion white-keeping process on the right side of the area content so that the area content width of the processed area content is equal to the volume picture width.
In step S204a, the intelligent winding device does not perform adjustment processing on the area content.
In step S205a, the intelligent volume grouping apparatus performs a shrinking operation on the region content based on the ratio of the volume picture width to the region content width, that is, performs an equal-scale shrinking operation on the region content width and the region content height, so that the region content width of the processed region content is equal to the volume picture width.
In addition, the intelligent winding device may normalize the area content in another manner, and referring to fig. 2b, fig. 2b is a second flowchart of step S102 of an embodiment of the intelligent winding method of the present invention. The step S102 includes:
In step S201b, the intelligent scrolling device performs text recognition on the area content, so as to perform editing operation on the text content in the area content.
In step S202b, the intelligent winding device obtains the winding picture width in the winding picture information, and performs position adjustment processing on the text information in the text-identified area content by using the editor, so that the area content width of the processed area content is equal to the winding picture width.
Since the characters in the regional content are already identified in the processing mode, the position of the character information can be directly adjusted, and compared with the direct reduction processing of the regional content picture, the content display effect of the adjusting mode is better.
In step S103, since the region content after the normalization operation in step S102 is already compatible with the group volume picture, the intelligent group volume device splices the region content after the normalization operation to generate a corresponding group volume picture.
Referring to fig. 3 for the splicing process, fig. 3 is a flowchart of splicing the regional content in step S103 according to an embodiment of the intelligent winding method of the present invention. The splicing process comprises the following steps:
step S301, the intelligent volume grouping device acquires the volume grouping picture height of the volume grouping picture and the area content height of the area content after normalization operation; when the width of the group volume picture is larger than or equal to the width of the regional content, the regional content height of the regional content after normalization operation is unchanged; when the width of the group volume picture is smaller than the width of the area content, the area content height of the area content after normalization operation is reduced based on the ratio of the width of the group volume picture to the width of the area content.
In step S302, the intelligent winding device sequentially performs the splicing operation on the plurality of normalized area contents, so that the area content height of the area contents after the current splicing operation is less than or equal to the winding picture height, and the area content height of the area contents after the next splicing operation is greater than the winding picture height. I.e. the next splicing operation can be performed on the new group roll picture.
After generating the scroll picture, the intelligent scroll device corrects the corresponding region content label based on the position of the normalized region content in the scroll picture. Specifically, the intelligent winding device corrects the picture information label corresponding to the area content label into a picture information label for reflecting the characteristic information of the winding picture; the intelligent grouping and rolling device corrects the regional overall content label corresponding to the regional content label into the regional overall content coordinate label for reflecting the position characteristics of the regional content in the grouping and rolling picture; the intelligent winding device corrects the region associated content coordinate labels corresponding to the region content labels into the region associated content coordinate labels for reflecting the position characteristics of the associated content in the region content in the reference picture.
The corrected regional content labels can better identify the position parameters of the regional content after normalization operation in the group volume picture.
Specifically, the intelligent grouping and rolling device can also respectively normalize the color of the content part and the color of the background part of the group rolled picture, so that the display effect of the generated group rolled picture is better.
For example, the background part background color of the partial area content is yellow, the background part background color of the partial area content is white, and the intelligent winding device can unify and normalize the background part background color of the winding picture to be yellow or white according to the needs of a user, so that the background of the winding picture is more consistent.
In addition, the intelligent volume grouping device can also recognize the color of the content part, and the color of the content part of the volume grouping picture can be unified and normalized to black according to the needs of a user. Since the content portion may have a key content portion emphasized by different colors, the common content portion and the key content portion may be normalized to different colors, such as the common content portion normalized to black and the key content portion normalized to red. Here, the normal content portion and the important content portion can be distinguished by a ratio in the area content, and in general, the normal content portion has a higher ratio in the area content and the important content portion has a lower ratio in the area content.
In step S104, the intelligent winding device stores the normalized region content acquired in step S102, the corrected region content label acquired in step S103, and the analysis content acquired in step S101 in a database as electronic data corresponding to the winding picture, so that the user refers to the related information of the winding picture.
Thus, the intelligent winding process of the intelligent winding method of the embodiment is completed.
The process of generating data in the preset database in the present invention is described in detail below by way of an embodiment. Referring to fig. 4, fig. 4 is a flowchart illustrating a generation process of a preset database in an intelligent scrolling method according to an embodiment of the invention. The database generation flow comprises the following steps:
in step S401, the intelligent scrolling device acquires a reference picture, wherein the reference picture includes point code content for positioning and picture content, and the picture content includes at least one area content.
The reference pictures herein may be other job questions for reference extraction. The reference picture should also include dot code content for locating and picture content, the picture content may be the content of the task question in the reference picture, and the dot code content is used for indicating the position of the task question in the reference picture. The content of the region is the content of a job test question in the picture content. A new group volume picture can be created in units of area content thereafter.
In step S402, the intelligent winding device determines the region content in the reference picture, and performs a labeling operation on the region content based on the point code content in the reference picture, to obtain a region content label.
Wherein the region content index includes a picture information index for reflecting feature information of the reference picture, a region overall content coordinate index for reflecting a position feature of the region content in the reference picture, and a region associated content coordinate index for reflecting a position feature of the associated content in the region content.
In step S403, the intelligent winding device obtains, based on the point code content of the reference picture, analysis content corresponding to the region content from the background server corresponding to the reference picture, where the analysis content may be analysis content for understanding the region content by the source, the question, the subject, the version, the knowledge point, the answer, the analysis, the skill, and the like of the region content. The content, the regional content labels and the regional content are analyzed in a one-to-one correspondence.
In step S404, the intelligent winding device stores the region content, the region content label and the analysis content in the database as the electronic data corresponding to the reference picture.
Thus, the generation process of the preset database storing the content corresponding to the plurality of reference pictures is completed.
According to the intelligent volume grouping method, the area content is used as a unit to conduct re-intelligent volume grouping operation, so that secondary spreading operation on volume grouping pictures is not needed, the cost of operation content combination operation is reduced, and the efficiency of operation content combination operation is improved.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an intelligent winding device according to an embodiment of the invention. The intelligent winding device of the present embodiment may be implemented using the above-described intelligent winding method, and the intelligent winding device 50 of the present embodiment includes an area content acquisition module 51, an area content normalization module 52, a winding picture generation module 53, and an electronic data generation module 54.
The regional content acquisition module 51 is configured to acquire a plurality of regional contents from the database based on a user scrolling instruction; the database stores the regional content, the corresponding regional content labels and the corresponding analytic content; the regional content normalization module 52 is configured to obtain the group volume picture information, and perform normalization operation on the regional content based on the group volume picture information; the group volume picture generation module 53 is used for splicing the region content after the normalization operation to generate a corresponding group volume picture; correcting the corresponding region content label based on the position of the region content in the group volume picture after normalization operation; the electronic data generating module 54 is configured to store the normalized region content, the corrected region content label, and the analysis content in a database, as electronic data corresponding to the group volume picture.
When the intelligent grouping apparatus 50 of the present embodiment is used, firstly, the area content acquisition module 51 acquires a user grouping instruction, where the user needs to combine a plurality of area contents (job test question contents) in the database into a new grouping picture (such as a new test paper). The database stores regional content, regional content labels corresponding to the regional content and analytic content corresponding to the regional content.
The regional content obtaining module 51 obtains a plurality of regional contents, corresponding regional content labels and corresponding analysis contents from the database according to the user scroll instruction.
The region content normalization module 52 then obtains the group volume picture information, which is the parameter information of the group volume picture to be generated, such as the group volume picture width, the group volume picture height, and the group volume picture layout of the group volume picture.
In order to ensure that the acquired region content performs a splicing operation in the group volume picture, the region content normalization module 52 needs to perform a normalization operation on the region content based on the group volume picture information.
Since the region content after the normalization operation is compatible with the group volume picture, the group volume picture generation module 53 splices the region content after the normalization operation to generate a corresponding group volume picture.
After generating the package picture, the package picture generation module 53 corrects the corresponding region content label based on the position of the normalized region content in the package picture. The corrected regional content labels can better identify the position parameters of the regional content after normalization operation in the group volume picture.
Specifically, the group volume picture generation module 53 may further perform normalization operations on the color of the content portion and the color of the background portion of the group volume picture, so that the display effect of the generated group volume picture is better.
For example, the background part background color of the partial area content is yellow, the background part background color of the partial area content is white, and the intelligent winding device can unify and normalize the background part background color of the winding picture to be yellow or white according to the needs of a user, so that the background of the winding picture is more consistent.
Finally, the electronic data generating module 54 stores the normalized region content, the corrected region content label and the resolved content into a database as electronic data corresponding to the group volume picture, so that the user can review the related information of the group volume picture.
This completes the intelligent winding process of the intelligent winding apparatus 50 of the present embodiment.
The detailed process of intelligent winding of the intelligent winding device of this embodiment is the same as or similar to the description of the above embodiment of the intelligent winding method, and specific reference is made to the related description of the above embodiment of the intelligent winding method.
The intelligent winding device of the embodiment performs the re-intelligent winding operation by taking the area content as a unit, so that secondary laying operation on the winding pictures is not needed, the cost of operation content combination operation is reduced, and the efficiency of operation content combination operation is improved.
When the scroll picture formed by the intelligent scroll method is used, a point writing pen or a point reading pen can be used for reading the scroll picture, wherein the point writing pen comprises a high-definition camera, and point code coordinates touched or scratched by a pen point can be collected. When a user uses a point writing pen or a point reading pen to write and edit on a paper document, the point writing pen or the point reading pen can upload point code coordinate data shot by the high-definition camera to a database in a Bluetooth or USB wired connection mode. The database restores the positions of the point codes paved on the base map through the point coordinates of the point codes corresponding to the base map pre-stored by the system, so that the track of the movement of the pen point of the point writing pen is formed. At this time, handwriting can be restored into a dot code layout diagram, so that fixed text content in the group paper picture and writing content (the writing content can be a mark, a fork, a question mark, a half pair, a red frame, a preset answer and the like) of a user can be identified, and then paper reading operation is performed.
Further, the user can click the contents of each filling frame area in turn to perform correction editing, the operation mode can be touch type or hardware click type, and the system can tell the user which area can realize editing operation. The sample method can accurately restore the homework handwriting of the students, accurately correlate the correction area and the editing area, and can realize homework correction only by clicking the correction area by a user in the correction process, so that the correction process has higher efficiency than the traditional correction process.
The following describes the detailed working principle of the intelligent winding method and the intelligent winding device according to the present invention through a specific embodiment. Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device corresponding to the intelligent winding method and the intelligent winding device of the present invention.
The electronic device 60 includes a question recording module 61, a question editor 63, a question bank storage database 62, a grouping module 64, and a display module 65.
The question recording module 1 can perform code laying operation on all electronic documents including test questions uploaded by a user, namely, reference pictures corresponding to the electronic documents are generated. The codepoint data of each reference picture includes, but is not limited to, information of a publisher (lownerid), a serial name of a book (SectionID), a specific book name (BookID), a page number (PageID), and the like. Thus each reference picture has an ID identity { O } n ,S n ,B n ,P n }(n∈[0,999]) Wherein OSBP can take numbers ranging from 0 to 999 respectively, so that only the ID of this combination can represent 1000 4 Page data is sufficient to use and maintain the inter-diversity of each reference picture.
When the question recording module 61 records questions, the upper left corner of the page of the reference picture is taken as the origin of coordinates, the width direction of the page is taken as the X-axis direction, and the height direction of the page is taken as the Y-axis direction, and coordinates of a question area of the reference picture and an associated area for the user to fill in answers, namely, coordinates of each question and a corresponding filling frame in the reference picture are set. For example, the question recording module can coordinate (A m ，B m ) To represent the starting coordinates of the mth title in the reference picture (e.g., the origin coordinates of the upper left corner of the area where the title is located), in terms of coordinates (C m ，D m ) To indicate the ending coordinates of the m-th question in the reference picture (e.g., the origin coordinates of the lower right corner of the region where the question is located). Using coordinates (a mn ，b mn ) To represent the relative coordinates (A) of the nth filling-in frame of the mth question in the reference picture m ，B m ) Is determined using the initial relative coordinates of (c) mn ，d mn ) To represent the relative coordinates (A) of the nth filling-in frame of the mth question in the reference picture m ，B m ) End relative coordinates of (c).
The coordinate parameter of each title in the reference page is { O } n ,S n ,B n ,P n }∪{(A m ，B m )}∪{(C m ，D m )}(m,n∈[0,999]) The coordinate parameters of each filling frame in the reference page are { O } n ,S n ,B n ,P n }∪{(A m ，B m )}∪{(C m ，D m )}∪{(a mn ,b mn )}∪{(c mn ,d mn )}∪{K mn }(m,n∈[0,999]) Wherein K is mn In order to fill in the relevant parameters of the frame content, such as the standard answer of the frame content, the data interoperability of each filling-in frame of each question in the reference page is ensured so as to perform the data storage operation.
The topic recording module 61 can also record the label information of multiple dimensions of the topic source, topic type, subject, version, knowledge point, answer, analysis, skill, etc. of each topic.
The question bank storage database 62 performs a storage operation for the region contents (each question) in the above-described reference page and the code point data, coordinate position data (region content reference number), and tag information of each filling-in frame in the region contents.
The title editor 63 is used for editing and beautifying the contents of each region in the reference page. Since the electronic version of each teaching aid or text may be different in size, the width of the title to be cut is also different; when the content is combined subsequently, the unification and the attractive appearance of the theme layout are not ensured easily.
The topic editor 63 can normalize the content of each of the cut topics or regions. If normalization processing of the area content with a width of 210mm is required, a "210/area content width (210/a m ) "if the scaling factor is greater than 1, it means that the width of the region content is smaller than 210mm, and the expansion white-keeping process is adopted to expand the width of the region content to 210mm, and the map color recognition filling is performed on the expanded portion, and the equal-scale stretching is not performed, so as to preventThe parallelism of fonts and definition. The coordinate parameters of each title in the reference page are changed to { O } n ,S n ,B n ,P n }∪{(A m ，B m )}∪{(210 m ，D m )}(m,n∈[0,999]). If the scaling factor is smaller than 1, the width and height of the region content are scaled down equally, and each filling frame is also required to be scaled down equally, for example, the coordinate parameters of each filling frame becomeAnd then carrying out enhanced sharpening treatment on the extended and contracted pictures, so that the layout is more attractive when the pictures are coiled.
The group paper module 64 stores the content of the area selected by the user from the database, namely the test paper questions; and the area content is edited and beautified by using the title editor 63, and then the heights and the calculations are performed on the titles in the arranged order, and when the heights and the heights exceed the heights of the group coil pictures, the current title is arranged into the next page. And beautifying the layout of the group-rolled pictures by setting page frames and title bars.
The group volume module 64 then resets the region content index corresponding to the region content in the group volume picture to ensure that the new region content index does not conflict with the region content index in the previous reference picture. Since the relative position relation between the associated content (such as filling box) in each area content and the area content is unchanged, the resetting process of the area content label is simpler and quicker.
The display module 65 is used for providing an operation interface for the user to perform the editing operation and the winding operation.
For example, as shown in fig. 7, the first question 71 (first region content) of the reference picture has a start coordinate (0, 20), an end coordinate (210, 60), a start coordinate (25, 35), and an end coordinate (30, 40) of the first filling frame 72 of the first question 71, and thus the first filling frame 72 of the first question 71 has a start relative coordinate (25, 15), and an end relative coordinate (30, 20).
When the first area content of the reference picture is subsequently assembled, if the size of the reference picture is not changed, the start relative coordinate and the end relative coordinate of the corresponding first filling frame 72 are unchanged, so that the subsequent assembly operation is simpler and more efficient.
Referring to fig. 8a and 8b, the user may further manually edit the region content of the reference picture through the title editor, and the editing process includes:
1. cutting the original questions into a single question automatically, and attaching coordinate information, labels, parameters and the like of picture frame selection;
2. in FIG. 8a, clicking on any question, popping up a question editor, displaying the text format of the question, copying all coordinates, labels and parameters of the corresponding picture question, binding the picture question to the editor of the changed text, and displaying the highlighted frame of the frame selection recorded by the question and the recorded content of each frame;
3. At this time, the highlight boxes and the content input by each box are only displayed in the editor display dialog box and do not correspond to the text display content in an interface, and the user only needs to move the highlight box with an answer to place the highlight box in a correct empty position of the text display title, and click and save the text display title;
4. the method is mainly characterized in that the title PDF of the three specifications of A5, B5 and A4 or the picture format is a vector conversion file, the resolution, the font, the size and the ground color are highly clear and uniform, and the text is directly converted without deformation because the data is not the data of the zoom output of the picture;
5. when the system performs the winding, the user defines that the size of the winding surface is any one of three specifications A5, B5 and A4, as shown in FIG. 8B, after selecting the target title, the system automatically invokes the title data in the corresponding format to perform the winding, the code spreading, the coordinate information resetting and the like, and the functional flow is the same as that of the winding module.
In summary, the intelligent winding method and the intelligent winding device output the title with the code point information through the dot matrix scheme, perform corresponding standardized parameter conversion, directly import the new code point information through secondary assignment, avoid a great deal of work of secondary spreading, enable the spreading content to be directly reused, and improve the efficiency of the dot matrix scheme winding, wherein the standardization comprises two schemes, namely standardized processing of scaled pictures, and generate standard picture data through a text editor. The method effectively solves the technical problems of low efficiency, high cost and inconvenience in management when the existing operation content is combined and the secondary spreading code is used for recording.
The terms "component," "module," "system," "interface," "process," and the like as used herein are generally intended to refer to a computer-related entity: hardware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a controller and the controller can be a component. One or more components can reside within a process and/or thread of execution and a component may be localized on one computer and/or distributed between two or more computers.
Fig. 9 and the following discussion provide a brief, general description of the operating environment of an electronic device in which the intelligent scrolling device of the present invention may be implemented. The work environment of fig. 9 is only one example of a suitable work environment and is not intended to suggest any limitation as to the scope of use or functionality of the work environment.
Although not required, embodiments are described in the general context of "computer-readable instructions" being executed by one or more electronic devices or electronic devices. Computer readable instructions may be distributed via a computer readable medium (discussed below). Computer readable instructions may be implemented as program modules, such as functions, objects, application Programming Interfaces (APIs), data structures, etc., that perform particular tasks or implement particular abstract data types. Typically, the functionality of the computer readable instructions may be combined or distributed as desired in various environments.
Fig. 9 illustrates an example of an electronic device 912 including one or more embodiments of the intelligent scrolling apparatus of the present invention. In one configuration, electronic device 912 includes at least one processing unit 916 and memory 918. Depending on the exact configuration and type of electronic device, memory 918 may be volatile (such as RAM), non-volatile (such as ROM, flash memory, etc.) or some combination of the two. This configuration is illustrated in fig. 9 by dashed line 914.
In other embodiments, the electronic device 912 may include additional features and/or functionality. For example, device 912 may also include additional storage (e.g., removable and/or non-removable) including, but not limited to, magnetic storage, optical storage, and the like. Such additional storage is illustrated in fig. 9 by storage 920. In one embodiment, computer readable instructions for implementing one or more embodiments provided herein may be in storage 920. Storage 920 may also store other computer readable instructions for implementing an operating system, application programs, and the like. Computer readable instructions may be loaded in memory 918 for execution by processing unit 916, for example.
The term "computer readable media" as used herein includes computer storage media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions or other data. Memory 918 and storage 920 are examples of computer storage media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by electronic device 912. Any such computer storage media may be part of electronic device 912.
The electronic device 912 may also include a communication connection 926 that allows the electronic device 912 to communicate with other devices. Communication connection 926 may include, but is not limited to, a modem, a Network Interface Card (NIC), an integrated network interface, a radio frequency transmitter/receiver, an infrared port, a USB connection, or other interface for connecting electronic device 912 to other electronic devices. Communication connection 926 may include a wired connection or a wireless connection. Communication connection 926 may transmit and/or receive communication media.
The term "computer readable media" may include communication media. Communication media typically embodies computer readable instructions or other data in a "modulated data signal" such as a carrier wave or other transport mechanism and includes any information delivery media. The term "modulated data signal" may include such signals: one or more of the signal characteristics are set or changed in such a manner as to encode information into the signal.
Electronic device 912 may include input device(s) 924 such as keyboard, mouse, pen, voice input device, touch input device, infrared camera, video input device, and/or any other input device. Output device(s) 922 such as one or more displays, speakers, printers, and/or any other output device may also be included in device 912. Input device 924 and output device 922 may be connected to electronic device 912 via a wired connection, a wireless connection, or any combination thereof. In one embodiment, an input device or an output device from another electronic device may be used as input device 924 or output device 922 for electronic device 912.
The components of electronic device 912 may be connected by various interconnects (e.g., buses). Such interconnects may include a Peripheral Component Interconnect (PCI), such as PCI express, universal Serial Bus (USB), firewire (IEEE 1394), an optical bus structure, and the like. In another embodiment, components of electronic device 912 may be interconnected by a network. For example, memory 918 may be comprised of multiple physical memory units located in different physical locations interconnected by a network.
Those skilled in the art will appreciate that storage devices for storing computer readable instructions may be distributed across a network. For example, an electronic device 930 accessible via a network 928 may store computer readable instructions to implement one or more embodiments of the present invention. Electronic device 912 may access electronic device 930 and download a part or all of the computer readable instructions for execution. Alternatively, the electronic device 912 may download pieces of the computer readable instructions, as needed, or some instructions may be executed at the electronic device 912 and some at the electronic device 930.
Various operations of the embodiments are provided herein. In one embodiment, the one or more operations may constitute computer-readable instructions stored on one or more computer-readable media that, when executed by an electronic device, will cause the computing device to perform the operations. The order in which some or all of the operations are described should not be construed as to imply that these operations are necessarily order dependent. Those skilled in the art will appreciate alternative ordering that will have the benefit of this description. Moreover, it should be understood that not all operations need be present in every embodiment provided herein.
Moreover, although the disclosure has been shown and described with respect to one or more implementations, equivalent alterations and modifications will occur to others skilled in the art based upon a reading and understanding of this specification and the annexed drawings. The present disclosure includes all such modifications and alterations and is limited only by the scope of the following claims. In particular regard to the various functions performed by the above described components (e.g., elements, resources, etc.), the terms used to describe such components are intended to correspond, unless otherwise indicated, to any component which performs the specified function of the described component (e.g., that is functionally equivalent), even though not structurally equivalent to the disclosed structure which performs the function in the herein illustrated exemplary implementations of the disclosure. Furthermore, while a particular feature of the disclosure may have been disclosed with respect to only one of several implementations, such feature may be combined with one or more other features of the other implementations as may be desired and advantageous for a given or particular application. Moreover, to the extent that the terms "includes," has, "" contains, "or variants thereof are used in either the detailed description or the claims, such terms are intended to be inclusive in a manner similar to the term" comprising.
The functional units in the embodiment of the invention can be integrated in one processing module, or each unit can exist alone physically, or two or more units are integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product. The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Each of the devices or systems described above may perform the method in the corresponding method embodiment.
In summary, although the embodiments of the present invention have been described above, the numbers before the embodiments are used for convenience of description, and the order of the embodiments of the present invention is not limited. Moreover, the above-mentioned embodiments are not intended to limit the present invention, and those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, so the scope of the present invention is defined by the claims.
Claims (6)
1. An intelligent winding method, comprising:
Based on a user volume command, acquiring a plurality of regional contents from a database; the database stores the regional content, the corresponding regional content labels and the corresponding analytic content;
obtaining group volume picture information, and carrying out normalization operation on the regional content based on the group volume picture information;
splicing the regional content after the normalization operation to generate corresponding group volume pictures; correcting the corresponding region content label based on the position of the region content after the normalization operation in the group volume picture;
storing the normalized regional content, the corrected regional content label and the analysis content into a database as electronic data corresponding to the group volume picture;
obtaining a reference picture, wherein the reference picture comprises point code content and picture content for positioning; the picture content comprises at least one region content;
determining the regional content in the reference picture, and performing marking operation on the regional content based on the point code content of the reference picture to obtain a regional content mark;
acquiring analysis content corresponding to the area content, wherein the analysis content, the area content label and the area content are in one-to-one correspondence;
Storing the regional content, the regional content labels and the analytic content into a database; as the electronic data corresponding to the reference picture;
the step of obtaining the group volume picture information and carrying out normalization operation on the regional content based on the group volume picture information comprises the following steps:
acquiring the width of the group volume picture and the width of the area content in the group volume picture information;
if the width of the group volume picture is larger than the width of the region content, performing expansion white-keeping processing on the right side of the region content so that the width of the region content of the processed region content is equal to the width of the group volume picture;
if the width of the group volume picture is equal to the width of the regional content, not adjusting the regional content;
if the width of the group volume picture is smaller than the width of the region content, performing a shrinking operation on the region content based on the ratio of the width of the group volume picture to the width of the region content, so that the width of the region content after processing is equal to the width of the group volume picture;
the step of splicing the region contents after the normalization operation to generate corresponding group volume pictures comprises the following steps:
Acquiring the volume picture height of the volume picture and the area content height of the area content after the normalization operation;
sequentially performing splicing operation on the plurality of the area contents subjected to the normalization operation, so that the height of the area contents subjected to the current splicing operation is smaller than or equal to the height of the group volume picture, and the height of the area contents subjected to the next splicing operation is larger than the height of the group volume picture;
the step of correcting the corresponding region content label based on the position of the region content after the normalization operation in the group volume picture comprises the following steps:
correcting the picture information label corresponding to the area content label into a picture information label for reflecting the characteristic information of the group-rolled picture;
correcting the regional overall content label corresponding to the regional content label into a regional overall content coordinate label for reflecting the position characteristics of the regional content in the group volume picture;
correcting the region associated content coordinate labels corresponding to the region content labels into region associated content coordinate labels for reflecting the position characteristics of the associated content in the region content in the reference picture;
wherein the region content index includes a picture information index for reflecting feature information of the reference picture, a region overall content coordinate index for reflecting a position feature of the region content in the reference picture, and a region associated content coordinate index for reflecting a position feature of associated content in the region content.
2. The intelligent scrolling method of claim 1, wherein the region content index comprises a picture information index for reflecting feature information of the reference picture, a region global content coordinate index for reflecting a position feature of the region content in the reference picture, and a region associated content coordinate index for reflecting a position feature of an associated content in the region content.
3. The intelligent scrolling method of claim 1, wherein the picture information labels include a publisher information label, a title information label, a number information label, and a page number information label;
the region integral content coordinate label comprises a minimum abscissa of region content, a minimum ordinate of region content, a maximum abscissa of region content and a maximum ordinate of region content;
the region associated content coordinate label comprises an associated content number of the associated content in the region content, a minimum abscissa of the associated content, a minimum ordinate of the associated content, a maximum abscissa of the associated content and a minimum ordinate of the associated content.
4. The intelligent churne method of claim 1, wherein the step of obtaining churne picture information and normalizing the region content based on the churne picture information comprises:
Performing character recognition on the area content;
and acquiring the width of the group volume picture in the group volume picture information, and performing position adjustment processing on the text information in the text-identified area content by using an editor so that the area content width of the processed area content is equal to the width of the group volume picture.
5. The intelligent churne method of claim 1, wherein the step of generating corresponding churne pictures further comprises:
and respectively carrying out normalization operation on the colors of the content parts and the colors of the background parts of the group volume pictures.
6. An intelligent winding device, comprising:
the regional content acquisition module is used for acquiring a plurality of regional contents from the database based on the user scrolling command; the database stores the regional content, the corresponding regional content labels and the corresponding analytic content;
the regional content normalization module is used for acquiring the group volume picture information and performing normalization operation on the regional content based on the group volume picture information;
the group volume picture generation module is used for splicing the region contents after the normalization operation to generate corresponding group volume pictures; correcting the corresponding region content label based on the position of the region content after the normalization operation in the group volume picture;
The electronic data generation module is used for storing the normalized regional content, the corrected regional content label and the analysis content into a database to serve as electronic data corresponding to the group volume picture;
wherein the region content, the corresponding region content label and the corresponding parsing content are stored in the database by the steps of:
obtaining a reference picture, wherein the reference picture comprises point code content and picture content for positioning; the picture content comprises at least one region content;
determining the regional content in the reference picture, and performing marking operation on the regional content based on the point code content of the reference picture to obtain a regional content mark;
acquiring analysis content corresponding to the area content, wherein the analysis content, the area content label and the area content are in one-to-one correspondence;
storing the regional content, the regional content labels and the analytic content into a database; as the electronic data corresponding to the reference picture;
the regional content normalization module is specifically configured to obtain a width of a group volume picture and a regional content width of regional content in the group volume picture information; if the width of the group volume picture is larger than the width of the region content, performing expansion white-keeping processing on the right side of the region content so that the width of the region content of the processed region content is equal to the width of the group volume picture; if the width of the group volume picture is equal to the width of the regional content, not adjusting the regional content; if the width of the group volume picture is smaller than the width of the region content, performing a shrinking operation on the region content based on the ratio of the width of the group volume picture to the width of the region content, so that the width of the region content after processing is equal to the width of the group volume picture;
The group volume picture generation module is specifically configured to obtain a group volume picture height of the group volume picture and an area content height of the area content after the normalization operation;
sequentially performing splicing operation on the plurality of the area contents subjected to the normalization operation, so that the height of the area contents subjected to the current splicing operation is smaller than or equal to the height of the group volume picture, and the height of the area contents subjected to the next splicing operation is larger than the height of the group volume picture; correcting the picture information label corresponding to the area content label into a picture information label for reflecting the characteristic information of the group-rolled picture; correcting the regional overall content label corresponding to the regional content label into a regional overall content coordinate label for reflecting the position characteristics of the regional content in the group volume picture; correcting the region associated content coordinate labels corresponding to the region content labels into region associated content coordinate labels for reflecting the position characteristics of the associated content in the region content in the reference picture; wherein the region content index includes a picture information index for reflecting feature information of the reference picture, a region overall content coordinate index for reflecting a position feature of the region content in the reference picture, and a region associated content coordinate index for reflecting a position feature of associated content in the region content.
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