CN109766412B - Learning content acquisition method based on image recognition and electronic equipment - Google Patents
Learning content acquisition method based on image recognition and electronic equipment Download PDFInfo
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- CN109766412B CN109766412B CN201910041710.1A CN201910041710A CN109766412B CN 109766412 B CN109766412 B CN 109766412B CN 201910041710 A CN201910041710 A CN 201910041710A CN 109766412 B CN109766412 B CN 109766412B
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Abstract
The invention relates to the technical field of education, in particular to a learning content acquisition method based on image recognition and electronic equipment, comprising the following steps of: controlling a camera of the electronic equipment to shoot the book according to the shooting instruction to obtain a shot image; carrying out image recognition on the shot image, recognizing the position of a specified object in the shot image, and determining a range to be searched and first part content contained in the range to be searched based on the position; judging whether the first part of content is complete; if the book is not complete, determining electronic resources corresponding to the book according to the shot image, and determining second part of content according to the electronic resources; completing the first part of content by using the second part of content to obtain content to be searched; and acquiring target learning content corresponding to the content to be searched. By implementing the embodiment of the invention, the search accuracy can be improved.
Description
Technical Field
The invention relates to the technical field of education, in particular to a learning content acquisition method based on image recognition and electronic equipment.
Background
Currently, most home education devices provide a content search function. When a user wants to search for a certain content (e.g., a certain subject or a certain knowledge point) in a book, the book content can be photographed by a family education machine, and the photographed image can be used to search for a learning content (e.g., an answer corresponding to the certain subject or a practice topic corresponding to the certain knowledge point) required by the user. However, in some cases, the content that the user wants to search is in the page spread area of the book, and the home education machine cannot complete the search, so that the problem of incomplete content identification is likely to occur, and the search accuracy is reduced.
Disclosure of Invention
The embodiment of the invention discloses a learning content acquisition method based on image recognition and electronic equipment, which can improve the search accuracy.
The embodiment of the invention discloses a learning content acquisition method based on image recognition in a first aspect, which comprises the following steps:
controlling a camera of the electronic equipment to shoot the book according to the shooting instruction to obtain a shot image;
carrying out image recognition on the shot image, recognizing the position of a specified object in the shot image, and determining a range to be searched and first part content contained in the range to be searched based on the position;
judging whether the first part of content is complete;
if the book is not complete, determining electronic resources corresponding to the book according to the shot image, and determining second part of content according to the electronic resources;
completing the first part of content by using the second part of content to obtain content to be searched;
and acquiring target learning content corresponding to the content to be searched.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the determining, based on the position, a range to be searched and a first part of content included in the range to be searched includes:
acquiring a coordinate point of the position in the shot image, and determining a range to be searched by taking the coordinate point as a reference point; the range of the range to be searched in a preset direction is larger than the range of the range to be searched in the opposite direction of the preset direction, and the preset direction is the direction towards which the fingertips of the fingers face;
and identifying the range to be searched to obtain the first part of content contained in the range to be searched.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the determining whether the first part of content is complete includes:
carrying out sentence division processing on the first part of content according to a predefined sign symbol to obtain at least one sentence;
detecting whether a sentence to be complemented with incomplete part-of-speech components exists in the at least one sentence;
and if the sentence to be complemented exists, determining that the first part of content is incomplete.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the obtaining target learning content corresponding to the content to be searched includes:
detecting whether a search condition input by a user is received;
if the search condition is received, acquiring target learning content corresponding to the content to be searched according to the search condition;
if the search condition is not received, searching the problem content with the highest matching degree with the content to be searched from a problem database;
searching the knowledge point content with the highest matching degree with the content to be searched through a search engine;
and determining target learning content according to the exercise content and the knowledge point content.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, after the obtaining of the target learning content corresponding to the content to be searched, the method further includes:
acquiring learning behavior data and user attribute data of a user; wherein the learning behavior data at least comprises an access page address and page operation information; the user attribute data at least comprises the age of the user and the preference of the user for the content output form;
determining a pushing strategy of the target learning content according to the learning behavior data and the user attribute data;
and pushing the target learning content to the user according to the pushing strategy.
A second aspect of an embodiment of the present invention discloses an electronic device, including:
the shooting unit is used for controlling a camera of the electronic equipment to shoot the book according to the shooting instruction to obtain a shot image;
the image recognition unit is used for carrying out image recognition on the shot image and recognizing the position of a specified object in the shot image;
a first determining unit, configured to determine, based on the position, a range to be searched and a first portion of content included in the range to be searched;
the judging unit is used for judging whether the first part of content is complete or not;
the second determining unit is used for determining the electronic resource corresponding to the book according to the shot image after the judging unit judges that the first part of content is incomplete, and determining the second part of content according to the electronic resource;
the completion unit is used for completing the first part of content by using the second part of content to obtain content to be searched;
and the first acquisition unit is used for acquiring the target learning content corresponding to the content to be searched.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the first determining unit includes:
a first acquisition subunit configured to acquire a coordinate point of the position in the captured image;
the first determining subunit is used for determining a range to be searched by taking the coordinate point as a reference point; the range of the range to be searched in a preset direction is larger than the range of the range to be searched in the opposite direction of the preset direction, and the preset direction is the direction towards which the fingertips of the fingers face;
and the identification subunit is used for identifying the range to be searched to obtain the first part of content contained in the range to be searched.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the determining unit includes:
a sentence dividing processing subunit, configured to perform sentence dividing processing on the first part of content according to a predefined flag symbol to obtain at least one sentence;
the first detection subunit is used for detecting whether a sentence to be complemented with incomplete part-of-speech components exists in the at least one sentence;
and the second determining subunit is configured to determine that the first part of content is incomplete when the first detecting subunit detects that the sentence to be complemented exists.
As an optional implementation manner, in a second aspect of the embodiment of the present invention, the first obtaining unit includes:
the second detection subunit is used for detecting whether a search condition input by a user is received;
the second obtaining subunit is configured to, when the second detecting subunit detects that the search condition is received, obtain, according to the search condition, target learning content corresponding to the content to be searched;
the searching subunit is used for searching the exercise content with the highest matching degree with the content to be searched from the exercise database and searching the knowledge point content with the highest matching degree with the content to be searched through a search engine when the second detecting subunit detects that the searching condition is not received;
and the third determining subunit is used for determining target learning content according to the exercise content and the knowledge point content.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the electronic device further includes:
the second acquisition unit is used for acquiring learning behavior data and user attribute data of a user after the first acquisition unit acquires target learning content corresponding to the content to be searched; wherein the learning behavior data at least comprises an access page address and page operation information; the user attribute data at least comprises the age of the user and the preference of the user for the content output form;
the second determining unit is further configured to determine a push policy of the target learning content according to the learning behavior data and the user attribute data;
and the pushing unit is used for pushing the target learning content to the user according to the pushing strategy.
A third aspect of the embodiments of the present invention discloses another electronic device, including:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute all or part of the steps of any one of the methods disclosed in the first aspect of the embodiments of the present invention.
A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium, which is characterized by storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute all or part of the steps in any one of the methods disclosed in the first aspect of the embodiments of the present invention.
A fifth aspect of embodiments of the present invention discloses a computer program product, which, when run on a computer, causes the computer to perform some or all of the steps of any one of the methods of the first aspect.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, a camera of the electronic equipment is controlled to shoot a book according to a shooting instruction to obtain a shot image; carrying out image recognition on the shot image, recognizing the position of a specified object in the shot image, and determining a range to be searched and first part content contained in the range to be searched based on the position; judging whether the first part of content is complete; if the book is not complete, determining electronic resources corresponding to the book according to the shot image, and determining second part of content according to the electronic resources; completing the first part of content by using the second part of content to obtain content to be searched; and acquiring target learning content corresponding to the content to be searched. Therefore, by implementing the embodiment of the invention, when the incomplete content to be searched determined according to the shot image is identified, the content which the user wants to search can be completed by using the electronic resources corresponding to the book, and the searching accuracy is further improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a learning content acquiring method based on image recognition according to an embodiment of the present invention;
FIG. 2 is a schematic flowchart of another learning content acquiring method based on image recognition according to an embodiment of the present disclosure;
FIG. 3 is a schematic flowchart of another learning content acquiring method based on image recognition according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure;
FIG. 5 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present invention;
FIG. 6 is a schematic structural diagram of another electronic device disclosed in the embodiments of the present invention;
fig. 7 is a partial block diagram of another electronic device according to an embodiment of the disclosure.
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.
It is to be noted that the terms "comprises" and "comprising" and any variations thereof in the embodiments and drawings of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses a learning content acquisition method based on image recognition and electronic equipment, which can improve the search accuracy. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a learning content obtaining method based on image recognition according to an embodiment of the present invention. As shown in fig. 1, the learning content acquiring method based on image recognition may include the following steps:
101. the electronic equipment controls a camera of the electronic equipment to shoot the book according to the shooting instruction to obtain a shot image.
In the embodiment of the present invention, the electronic device may include, but is not limited to, a learning tablet, a family education machine, a learning mobile phone, a learning machine, and the like; the shooting instruction can be an action instruction of pressing a virtual shooting key on a display interface of the electronic equipment when the user shoots the book by using the electronic equipment; specifically, the electronic device may collect a sound signal of a surrounding environment, extract a voiceprint feature of the sound signal, determine whether the voiceprint feature matches a legal voiceprint feature stored in the electronic device in advance, and if the voiceprint feature matches the legal voiceprint feature, recognize the sound signal, thereby obtaining the shooting instruction.
As an optional implementation manner, the controlling, by the electronic device, a camera of the electronic device to shoot the book according to the shooting instruction to obtain the shot image may include:
controlling a camera of the electronic equipment to shoot a book in a preset shooting mode according to a shooting instruction to obtain at least two original shot images;
and synthesizing the at least two original shot images to obtain shot images.
The preset shooting mode (for example, the exposure mode) may be set by the electronic device as a default, or may be set manually by the user, which is not limited in the embodiment of the present invention. Therefore, the embodiment of the invention can improve the quality of the shot images by synthesizing a plurality of continuously shot images.
102. The electronic equipment carries out image recognition on the shot image, recognizes the position of the specified object in the shot image, and determines the range to be searched and the first part of content contained in the range to be searched based on the position.
In the embodiment of the invention, the position of the specified object in the shot image can be determined as the area specified for shooting by the user; the designated object may be a finger of a user, a touch pen used by the user, or a light point projected to a book by a laser pen.
As an optional implementation manner, the determining, by the electronic device, the range to be searched and the first part of content included in the range to be searched based on the position may include:
acquiring a coordinate point of the position in a shot image, and determining a range to be searched by taking the coordinate point as a reference point; the range of the range to be searched in the preset direction is larger than the range of the range to be searched in the opposite direction of the preset direction, and the preset direction is the direction towards which the fingertips of the fingers face;
and identifying the range to be searched to obtain the first part of content contained in the range to be searched.
In the embodiment of the present invention, optionally, the electronic device may identify the coverage area of the designated object in the book by analyzing and identifying the captured image, determine the center position of the coverage area as the position of the designated object in the captured image, further determine the coordinate point of the position, and determine the range to be searched by using the coordinate point as the reference point; the shape of the area corresponding to the range to be searched may include, but is not limited to, a rectangle, a circle, an ellipse, or the like. In addition, when the specified object is a finger of a user, the preset direction may be a direction toward which a fingertip of the finger is directed; when the designated object is a light point projected by a touch pen or a laser pen, the preset direction may be any direction, and the embodiment of the present invention is not limited.
103. The electronic equipment judges whether the first part of content is complete, and if the first part of content is incomplete, the step 104 is triggered and executed; if complete, the process is ended.
As an optional implementation manner, if it is determined that the first part of content is complete, the electronic device may further determine the first part of content as content to be searched, and obtain target learning content corresponding to the content to be searched.
As another optional implementation, the determining, by the electronic device, whether the first part of content is complete may include:
carrying out sentence dividing processing on the first part of content according to a predefined sign symbol to obtain at least one sentence;
detecting whether a sentence to be complemented with incomplete part-of-speech components exists in at least one sentence;
and if the sentence to be complemented exists, determining that the first part of content is incomplete.
In the embodiment of the present invention, before performing sentence segmentation processing on a first part of content according to a predefined landmark to obtain at least one sentence, the electronic device may further detect whether the first part of content includes any predefined landmark, and if so, perform the above sentence segmentation processing on the first part of content according to the predefined landmark to obtain at least one sentence; if not, performing semantic analysis on the first part of content to judge whether the semantics of the first part of content are complete, and if not, determining that the first part of content is incomplete; the predefined landmark may be a termination symbol of a sentence such as a period, a question mark, an exclamation mark, and the like, which is not limited in the present invention. For example, the book contents that the user wants to search for are: "one train of slow cars and one train of fast cars are respectively driven out from A, B stations, the speed ratio of fast cars to slow cars is 5:4, slow cars are driven out from station A for 27 kilometers first, and fast cars are driven out from station B. The distance between the fast car and the station B when meeting is 32 km more than the distance between the slow car and the station a, A, B is the distance between the two stations kilometer? "and the first part of the content obtained by the electronic device through recognizing the shot image is: "one train of slow cars and one train of fast cars are respectively driven out from A, B stations, the speed ratio of fast cars to slow cars is 5:4, slow cars are driven out from station A for 27 kilometers first, and fast cars are driven out from station B. When meeting, the distance between the fast vehicle and the station B is further detected to be larger than the distance between the slow vehicle and the station A, whether the first part of content contains any predefined mark symbol is further detected, and the first part of content is easy to know that the first part of content contains the predefined mark symbol, so that the first part of content is subjected to clause processing according to the predefined mark symbol to obtain that' one row of slow vehicles and one row of fast vehicles are respectively driven from A, B stations, the speed ratio of the fast vehicles and the slow vehicles is 5:4, the slow vehicles are driven from the station A by 27 kilometers firstly, and the fast vehicles are driven from the station B only. And two clauses of ' the distance between the fast vehicle and the station B is greater than the distance between the slow vehicle and the station A when meeting ' respectively identify whether the parts of the clauses are incomplete in terms of parts of speech, and the part of the clauses of ' the distance between the fast vehicle and the station B is greater than the distance between the slow vehicle and the station A ' when meeting ' is known to be incomplete in terms of parts of speech, so that the content of the first part is determined to be incomplete. For another example, the book content that the user wants to search is the idiom of "harmony", and the first part of the content obtained by the electronic device through recognizing the captured image is: the electronic device can detect that the first part of content does not contain any predefined mark symbol, and further, carry out semantic analysis on the 'harmony', judge that the semantic is complete, so that the first part of content can be determined to be complete.
104. The electronic equipment determines the electronic resource corresponding to the book according to the shot image, and determines the second part of content according to the electronic resource.
In the embodiment of the present invention, the electronic resource may also be referred to as an electronic book or an electronic text, and is a publication in which message contents such as characters and pictures included in the photographed book are digitized, so that the electronic resource corresponding to the book is completely the same as the content of the book, and further optionally, the electronic resource may also be the same as the type setting of the photographed book.
In the embodiment of the present invention, the electronic device may obtain the text content corresponding to the captured image by recognizing the captured image, and determine the electronic resource corresponding to the book according to the text content, and further, may further recognize the page number of a specific position (such as a header, a footer, or other positions) in the page of the captured book by recognizing the captured image, obtain the content of the page number (previous page or next page) adjacent to the page number from the electronic resource corresponding to the book, and determine the page content included in the page number adjacent to the page number as the second part content.
105. And the electronic equipment completes the first part of content by using the second part of content to obtain the content to be searched.
In the embodiment of the present invention, for example, when the content that the user wants to search is in the page crossing area, the first part of content is: when the Chinese herbal medicine is mixed with the dislike, the beauty and the ugly, the choice is correctly decided; the bottom line is kept, so that a solid life foundation can be laid, and the user can step into a higher boundary. The middle school students should be distinguished as non-on-line and on-line in the aspects of homework examination, sports and athletics, entertainment and leisure, social activities, friend association and the like. Please write a composition under the heading of "bottom line". ", and the second portion of content may include at least: "… … life bottom line is the foundation stone for making people and is the best quasi-rope in all ages. The bottom line is held, so that you can face true, false and good, therefore, the second part of content is used to complement the first part of content, and the obtained content to be searched is: "life bottom line" is the foundation stone for making people, and is the best quasi-rope throughout the world. The bottom line is held, so that a user can decide correctly when facing true or false, good and bad, beautiful and ugly; the bottom line is kept, so that a solid life foundation can be laid, and the user can step into a higher boundary. The middle school students should be distinguished as non-on-line and on-line in the aspects of homework examination, sports and athletics, entertainment and leisure, social activities, friend association and the like. Please write a composition under the heading of "bottom line". ".
106. The electronic equipment acquires target learning content corresponding to the content to be searched.
In the embodiment of the invention, the content to be searched can be a certain knowledge point or a certain topic, and then when the content to be searched is a certain knowledge point, the corresponding target learning content can be an exercise topic corresponding to the knowledge point; when the content to be searched is a certain topic, the target learning content corresponding to the content to be searched may be a knowledge point included in the topic and/or another exercise topic having the same knowledge point as the topic, which is not limited in the embodiment of the present invention.
Therefore, by the method described in fig. 1, when the incomplete content to be searched determined according to the shot image is identified, the content which the user wants to search can be completed by using the electronic resources corresponding to the book, so that the search accuracy is improved; in addition, by combining a plurality of continuously shot images, the quality of the shot images is improved.
Example two
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating another learning content acquiring method based on image recognition according to an embodiment of the present invention. As shown in fig. 2, the learning content acquiring method based on image recognition may include the following steps:
in the embodiment of the present invention, the learning content acquiring method based on image recognition includes steps 201 to 205, and for the description of steps 201 to 205, please refer to the detailed description of steps 101 to 105 in the first embodiment, which is not repeated herein.
206. The electronic equipment detects whether a search condition input by a user is received, and if the search condition is received, the execution is triggered 207; if the search condition is not received, the execution is triggered 208-210.
In the embodiment of the invention, the mode of inputting the search condition by the user can be voice input, namely the electronic equipment can output the content to be searched to a display interface of the electronic equipment for the user to check after obtaining the content to be searched, collect voice information sent by the user and recognize the voice information to obtain the search condition input by the user; the method for inputting the search condition by the user may also be character input, that is, after the content to be searched is obtained, the electronic device may output the content to be searched to a display interface of the electronic device for the user to view, obtain character information input by the user in a preset input box of the display interface, and determine the character information as the search condition input by the user. In addition, the search condition may be one or more keywords, and the type of the keyword may be a subject type and/or a content format (such as a picture, audio, text, or animation, etc.), and embodiments of the present invention are not limited thereto.
207. And the electronic equipment acquires target learning content corresponding to the content to be searched according to the searching condition.
In the embodiment of the invention, for example, the content to be searched is a term of 'chicken and rabbit sharing in a cage', the type of the search condition is mathematics, and then the electronic equipment can search the term of the chicken and rabbit sharing in the cage in the mathematical subject field according to the subject type as the mathematics to obtain the corresponding target learning content. Therefore, the searching method and the searching device can further clarify the searching range of the content to be searched by using the searching condition, and improve the searching speed and the searching accuracy of the target learning content corresponding to the content to be searched.
208. The electronic equipment searches the exercise content with the highest matching degree with the content to be searched from the exercise database.
209. The electronic equipment searches the knowledge point content with the highest matching degree with the content to be searched through a search engine.
210. The electronic equipment determines target learning content according to the exercise content and the knowledge point content.
Therefore, by the method described in fig. 2, when the incomplete content to be searched determined according to the shot image is identified, the content which the user wants to search can be completed by using the electronic resources corresponding to the book, so that the search accuracy is improved; and, the quality of the shot images can be improved by synthesizing a plurality of continuously shot images; in addition, the search condition can be utilized to further clarify the search range of the content to be searched, and the search speed and the search accuracy of the target learning content corresponding to the content to be searched are improved.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic flowchart illustrating a learning content obtaining method based on image recognition according to an embodiment of the present invention. As shown in fig. 3, the learning content acquiring method based on image recognition may include the following steps:
in the embodiment of the present invention, the learning content obtaining method based on image recognition includes steps 301 to 310, and for the description of steps 301 to 310, please refer to the detailed description of steps 201 to 210 in the second embodiment, which is not repeated herein.
311. The method comprises the steps that electronic equipment obtains learning behavior data and user attribute data of a user; the learning behavior data at least comprises an access page address and page operation information; the user attribute data includes at least an age of the user and a preference of the user for a content output form.
In the embodiment of the invention, the learning behavior data can comprise an access page address, page operation information, access start and stop time of each page and the like; the user attribute data may include objective attribute data of the user and subjective attribute data of the user, where the objective attribute data may include age and sex of the user, an examination outline corresponding to the age of the user, and the subjective attribute data may include user preference for learning content, user preference for content output form, user preference for content output time period, and user preference for content output duration.
312. And the electronic equipment determines a pushing strategy of the target learning content according to the learning behavior data and the user attribute data.
In the embodiment of the present invention, optionally, the learning behavior data and the user attribute data may be historical data collected by the electronic device before determining the push policy; the electronic equipment can preprocess learning behavior data and user attribute data, input the learning behavior data and the user attribute data after data preprocessing into a pre-trained user classification model, determine a target user type to which a user belongs based on an output result of the user classification model, and recommend a push strategy of target learning content corresponding to the target user type, wherein the push strategy is used for indicating a push form, a push frequency and the like of the electronic equipment for pushing the target learning content; the user classification model can be a deep neural network model, and the deep neural network model can be trained by using learning behavior data corresponding to a large number of user samples and user attribute data corresponding to the user samples as training data.
Therefore, the embodiment of the invention can predict the learning habits (such as when to learn, what form to learn and the like) of the user by using the deep neural network, the past learning behavior data of the user and the user attribute data, and improves the accuracy of the prediction result by using the deep neural network; and recommending a pushing strategy of target learning content according with the learning habit of the user to the electronic equipment according to the predicted learning habit of the user, so that the learning effect of the user is effectively improved.
313. The electronic equipment pushes the target learning content to the user according to the push strategy.
In the embodiment of the present invention, the push strategy of the target learning content may be, for example, to push the target learning content to the user in the form of voice output at a frequency of six hours from nine am, and the duration of each push is half an hour. Then, the electronic device can push the target learning content with the duration of half an hour to the user in the form of voice output at nine am, three pm and nine pm in sequence according to the push strategy.
Therefore, by the method described in fig. 3, when the incomplete content to be searched determined according to the shot image is identified, the content which the user wants to search can be completed by using the electronic resources corresponding to the book, so that the search accuracy is improved; and, the quality of the shot images can be improved by synthesizing a plurality of continuously shot images; the search range of the content to be searched can be further defined by using the search condition, and the search speed and the search accuracy of the target learning content corresponding to the content to be searched are improved; in addition, the accuracy of a prediction result is improved by utilizing the deep neural network; and recommending a pushing strategy of target learning content according with the learning habit of the user to the electronic equipment according to the predicted learning habit of the user, so that the learning effect of the user is effectively improved.
Example four
Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. As shown in fig. 4, the electronic device may include:
the shooting unit 401 is configured to control a camera of the electronic device to shoot a book according to the shooting instruction, obtain a shot image, and provide the shot image to the image recognition unit 402.
As an optional implementation manner, the shooting unit 401 controls a camera of the electronic device to shoot a book according to the shooting instruction, and the manner of obtaining the shot image may specifically be:
controlling a camera of the electronic equipment to shoot a book in a preset shooting mode according to a shooting instruction to obtain at least two original shot images;
and synthesizing the at least two original shot images to obtain shot images.
The preset shooting mode (for example, the exposure mode) may be set by the electronic device as a default, or may be set manually by the user, which is not limited in the embodiment of the present invention. Therefore, the embodiment of the invention can improve the quality of the shot images by synthesizing a plurality of continuously shot images.
An image recognition unit 402 for performing image recognition on the captured image, recognizing the position of the specified object in the captured image, and supplying to a first determination unit 403.
In the embodiment of the invention, the position of the specified object in the shot image can be determined as the area specified for shooting by the user; the designated object may be a finger of a user, a touch pen used by the user, or a light point projected to a book by a laser pen.
A first determining unit 403, configured to determine the range to be searched and the first partial content included in the range to be searched based on the position, and provide the first partial content to the determining unit 404.
A judging unit 404, configured to judge whether the first partial content is complete, and provide the judgment result to the second determining unit 405.
A second determining unit 405, configured to determine, after the determining unit 404 determines that the first partial content is incomplete, an electronic resource corresponding to the book according to the captured image, determine a second partial content according to the electronic resource, and provide the second partial content to the complementing unit 406.
A complementing unit 406, configured to complement the first part of content with the second part of content to obtain a content to be searched, and provide the content to be searched to the first obtaining unit 407.
The first obtaining unit 407 is configured to obtain target learning content corresponding to content to be searched.
In the embodiment of the invention, the content to be searched can be a certain knowledge point or a certain topic, and then when the content to be searched is a certain knowledge point, the corresponding target learning content can be an exercise topic corresponding to the knowledge point; when the content to be searched is a certain topic, the target learning content corresponding to the content to be searched may be a knowledge point included in the topic and/or another exercise topic having the same knowledge point as the topic, which is not limited in the embodiment of the present invention.
Therefore, through the electronic device described in fig. 4, when it is recognized that the content to be searched determined according to the shot image is incomplete, the content that the user wants to search can be completed by using the electronic resources corresponding to the book, so that the search accuracy is improved; in addition, by combining a plurality of continuously shot images, the quality of the shot images is improved.
EXAMPLE five
Referring to fig. 5, fig. 5 is a schematic structural diagram of another electronic device according to an embodiment of the present invention, wherein the electronic device shown in fig. 5 is obtained by further optimizing the electronic device shown in fig. 4. Compared with the electronic device shown in fig. 4, in the electronic device shown in fig. 5, the first determining unit 403 includes:
a first acquisition subunit 4031 configured to acquire a coordinate point located in the captured image and supply the coordinate point to the first determination subunit 4032.
A first determining subunit 4032, configured to determine a range to be searched using the coordinate point as a reference point, and provide the range to the identifying subunit 4033; the range of the range to be searched in the preset direction is larger than the range in the opposite direction of the preset direction, and the preset direction may be the direction toward which the fingertip of the finger faces.
In the embodiment of the invention, when the designated object is the finger of the user, the preset direction can be the direction towards which the fingertip of the finger faces; when the designated object is a light point projected by a touch pen or a laser pen, the preset direction may be any direction, and the embodiment of the present invention is not limited.
And the identifying subunit 4033 is configured to identify the range to be searched, and obtain a first part of content included in the range to be searched.
Therefore, through the electronic device described in fig. 5, when it is recognized that the content to be searched determined according to the shot image is incomplete, the content that the user wants to search can be completed by using the electronic resources corresponding to the book, so that the search accuracy is improved; and, the quality of the shot images can be improved by synthesizing a plurality of continuously shot images; in addition, the search condition can be utilized to further clarify the search range of the content to be searched, and the search speed and the search accuracy of the target learning content corresponding to the content to be searched are improved.
EXAMPLE six
Referring to fig. 6, fig. 6 is a schematic structural diagram of another electronic device according to an embodiment of the present invention, wherein the electronic device shown in fig. 6 is obtained by further optimizing the electronic device shown in fig. 5. Compared with the electronic device shown in fig. 5, in the electronic device shown in fig. 6, the determining unit 404 may include:
the sentence dividing processing subunit 4041 is configured to perform sentence dividing processing on the first part of content according to the predefined flag symbol to obtain at least one sentence, and provide the at least one sentence to the first detecting subunit 4042.
The first detecting sub-unit 4042 is configured to detect whether a sentence to be complemented whose part-of-speech components are incomplete exists in at least one sentence, and provide a detection result to the second determining sub-unit 4043.
The second determining sub-unit 4043 is configured to determine that the first part of the content is incomplete when the first detecting sub-unit 4042 detects that the sentence to be complemented exists.
As an alternative implementation, as shown in fig. 6, the first obtaining unit 407 may include:
the second detecting sub-unit 4071 is configured to detect whether a search condition input by the user is received, and provide a detection result to the second obtaining sub-unit 4072 and the searching sub-unit 4073.
The second obtaining sub-unit 4072 is configured to, when the second detecting sub-unit 4071 detects that the search condition is received, obtain the target learning content corresponding to the content to be searched according to the search condition.
In the embodiment of the present invention, for example, the content to be searched is a word "chicken and rabbit sharing in cage", and the type of the search condition is math, then the second obtaining sub-unit 4072 may search the word "chicken and rabbit sharing in cage" in the field of the mathematic subject according to the subject type, to obtain the corresponding target learning content. Therefore, the searching method and the searching device can further clarify the searching range of the content to be searched by using the searching condition, and improve the searching speed and the searching accuracy of the target learning content corresponding to the content to be searched.
The searching subunit 4073 is configured to, when the second detecting subunit 4071 detects that the search condition is not received, search, from the problem database, the problem content having the highest matching degree with the content to be searched, search, by using the search engine, the knowledge point content having the highest matching degree with the content to be searched, and provide the problem content and the knowledge point content to the third determining subunit 4074.
A third determining subunit 4074, configured to determine the target learning content according to the exercise content and the knowledge point content.
As another alternative implementation, as shown in fig. 6, the electronic device may further include:
a second obtaining unit 408, configured to obtain learning behavior data and user attribute data of the user after the first obtaining unit 407 obtains the target learning content corresponding to the content to be searched, and provide the learning behavior data and the user attribute data to the second determining unit 405; the learning behavior data at least comprises an access page address and page operation information; the user attribute data includes at least an age of the user and a preference of the user for a content output form.
In the embodiment of the invention, the learning behavior data can comprise an access page address, page operation information, access start and stop time of each page and the like; the user attribute data may include objective attribute data of the user and subjective attribute data of the user, where the objective attribute data may include age and sex of the user, an examination outline corresponding to the age of the user, and the subjective attribute data may include user preference for learning content, user preference for content output form, user preference for content output time period, and user preference for content output duration.
The second determining unit 405 is further configured to determine a push policy of the target learning content according to the learning behavior data and the user attribute data, and provide the push policy to the pushing unit 409.
In this embodiment of the present invention, optionally, the learning behavior data and the user attribute data may be historical data collected by the second determining unit 405 before determining the push policy; the second determining unit 405 may pre-process the learning behavior data and the user attribute data, input the pre-processed learning behavior data and the user attribute data into a pre-trained user classification model, determine a target user type to which a user belongs based on an output result of the user classification model, and recommend a push policy of target learning content corresponding to the target user type, where the push policy is used to indicate a push form, a push frequency, and the like of the electronic device for pushing the target learning content; the user classification model can be a deep neural network model, and the deep neural network model can be trained by using learning behavior data corresponding to a large number of user samples and user attribute data corresponding to the user samples as training data.
Therefore, the embodiment of the invention can predict the learning habits (such as when to learn, what form to learn and the like) of the user by using the deep neural network, the past learning behavior data of the user and the user attribute data, and improves the accuracy of the prediction result by using the deep neural network; and recommending a pushing strategy of target learning content according with the learning habit of the user to the electronic equipment according to the predicted learning habit of the user, so that the learning effect of the user is effectively improved.
A pushing unit 409, configured to push the target learning content to the user according to a pushing policy.
Therefore, through the electronic device described in fig. 6, when it is recognized that the content to be searched determined according to the shot image is incomplete, the content that the user wants to search can be completed by using the electronic resources corresponding to the book, so that the search accuracy is improved; and, the quality of the shot images can be improved by synthesizing a plurality of continuously shot images; the search range of the content to be searched can be further defined by using the search condition, and the search speed and the search accuracy of the target learning content corresponding to the content to be searched are improved; in addition, the accuracy of a prediction result is improved by utilizing the deep neural network; and recommending a pushing strategy of target learning content according with the learning habit of the user to the electronic equipment according to the predicted learning habit of the user, so that the learning effect of the user is effectively improved.
Referring to fig. 7, fig. 7 is a schematic structural diagram of another electronic device according to an embodiment of the disclosure. As shown in fig. 7, the electronic device may include:
a memory 701 in which executable program code is stored;
a processor 702 coupled to the memory 701;
the processor 702 calls the executable program code stored in the memory 701 to execute any one of the learning content acquisition methods based on image recognition in fig. 1 to 3.
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program, wherein the computer program enables a computer to execute any one of learning content acquisition methods based on image recognition in figures 1-3.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Those skilled in the art should also appreciate that the embodiments described in this specification are exemplary and alternative embodiments, and that the acts and modules illustrated are not required in order to practice the invention.
In various embodiments of the present invention, it should be understood that the sequence numbers of the above-mentioned processes do not imply an inevitable order of execution, and the execution order of the processes should be determined by their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
In various embodiments of the present invention, it should be understood that the term "and/or" herein is merely one type of association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In the embodiments provided herein, it should be understood that "B corresponding to A" means that B is associated with A from which B can be determined. It should also be understood, however, that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated units, if implemented as software functional units and sold or used as a stand-alone product, may be stored in a computer accessible memory. Based on such understanding, the technical solution of the present invention, which is a part of or contributes to the prior art in essence, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a memory and includes several requests for causing a computer device (which may be a personal computer, a server, a network device, or the like, and may specifically be a processor in the computer device) to execute part or all of the steps of the above-described method of each embodiment of the present invention.
It will be understood by those skilled in the art that all or part of the steps in the methods of the embodiments described above may be implemented by hardware instructions of a program, and the program may be stored in a computer-readable storage medium, where the storage medium includes Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM), or other Memory, such as a magnetic disk, or a combination thereof, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
The method for acquiring learning content based on image recognition and the electronic device disclosed by the embodiment of the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (12)
1. A learning content acquisition method based on image recognition is characterized by comprising the following steps:
controlling a camera of the electronic equipment to shoot the book according to the shooting instruction to obtain a shot image;
carrying out image recognition on the shot image, recognizing the position of a specified object in the shot image, acquiring a coordinate point of the position in the shot image, and determining a range to be searched by taking the coordinate point as a reference point; the range of the range to be searched in a preset direction is larger than the range of the range to be searched in the opposite direction of the preset direction, and the preset direction is the direction towards which the fingertips of the fingers face; identifying the range to be searched to obtain a first part of content contained in the range to be searched;
judging whether the first part of content is complete;
if the book is not complete, determining electronic resources corresponding to the book according to the shot image, and determining second part of content according to the electronic resources;
completing the first part of content by using the second part of content to obtain content to be searched;
and acquiring target learning content corresponding to the content to be searched.
2. The method of claim 1, wherein the determining whether the first portion of content is complete comprises:
carrying out sentence division processing on the first part of content according to a predefined sign symbol to obtain at least one sentence;
detecting whether a sentence to be complemented with incomplete part-of-speech components exists in the at least one sentence;
and if the sentence to be complemented exists, determining that the first part of content is incomplete.
3. The method according to any one of claims 1 to 2, wherein the obtaining of the target learning content corresponding to the content to be searched includes:
detecting whether a search condition input by a user is received;
if the search condition is received, acquiring target learning content corresponding to the content to be searched according to the search condition;
if the search condition is not received, searching the problem content with the highest matching degree with the content to be searched from a problem database;
searching the knowledge point content with the highest matching degree with the content to be searched through a search engine;
and determining target learning content according to the exercise content and the knowledge point content.
4. The method according to claim 3, wherein after obtaining the target learning content corresponding to the content to be searched, the method further comprises:
acquiring learning behavior data and user attribute data of a user; wherein the learning behavior data at least comprises an access page address and page operation information; the user attribute data at least comprises the age of the user and the preference of the user for the content output form;
determining a pushing strategy of the target learning content according to the learning behavior data and the user attribute data;
and pushing the target learning content to the user according to the pushing strategy.
5. The method according to claim 1 or 2, wherein after obtaining the target learning content corresponding to the content to be searched, the method further comprises:
acquiring learning behavior data and user attribute data of a user; wherein the learning behavior data at least comprises an access page address and page operation information; the user attribute data at least comprises the age of the user and the preference of the user for the content output form;
determining a pushing strategy of the target learning content according to the learning behavior data and the user attribute data;
and pushing the target learning content to the user according to the pushing strategy.
6. An electronic device, characterized in that the electronic device comprises:
the shooting unit is used for controlling a camera of the electronic equipment to shoot the book according to the shooting instruction to obtain a shot image;
the image recognition unit is used for carrying out image recognition on the shot image and recognizing the position of a specified object in the shot image;
a first determination unit, configured to acquire a coordinate point of the position in the captured image, and determine a range to be searched with the coordinate point as a reference point; the range of the range to be searched in a preset direction is larger than the range of the range to be searched in the opposite direction of the preset direction, and the preset direction is the direction towards which the fingertips of the fingers face; identifying the range to be searched to obtain a first part of content contained in the range to be searched;
the judging unit is used for judging whether the first part of content is complete or not;
the second determining unit is used for determining the electronic resource corresponding to the book according to the shot image after the judging unit judges that the first part of content is incomplete, and determining the second part of content according to the electronic resource;
the completion unit is used for completing the first part of content by using the second part of content to obtain content to be searched;
and the first acquisition unit is used for acquiring the target learning content corresponding to the content to be searched.
7. The electronic device according to claim 6, wherein the determination unit includes:
a sentence dividing processing subunit, configured to perform sentence dividing processing on the first part of content according to a predefined flag symbol to obtain at least one sentence;
the first detection subunit is used for detecting whether a sentence to be complemented with incomplete part-of-speech components exists in the at least one sentence;
and the second determining subunit is configured to determine that the first part of content is incomplete when the first detecting subunit detects that the sentence to be complemented exists.
8. The electronic device according to any one of claims 6 to 7, wherein the first acquisition unit includes:
the second detection subunit is used for detecting whether a search condition input by a user is received;
the second obtaining subunit is configured to, when the second detecting subunit detects that the search condition is received, obtain, according to the search condition, target learning content corresponding to the content to be searched;
the searching subunit is used for searching the exercise content with the highest matching degree with the content to be searched from the exercise database and searching the knowledge point content with the highest matching degree with the content to be searched through a search engine when the second detecting subunit detects that the searching condition is not received;
and the third determining subunit is used for determining target learning content according to the exercise content and the knowledge point content.
9. The electronic device of claim 8, further comprising:
the second acquisition unit is used for acquiring learning behavior data and user attribute data of a user after the first acquisition unit acquires target learning content corresponding to the content to be searched; wherein the learning behavior data at least comprises an access page address and page operation information; the user attribute data at least comprises the age of the user and the preference of the user for the content output form;
the second determining unit is further configured to determine a push policy of the target learning content according to the learning behavior data and the user attribute data;
and the pushing unit is used for pushing the target learning content to the user according to the pushing strategy.
10. The electronic device according to any one of claims 6 to 7, further comprising:
the second acquisition unit is used for acquiring learning behavior data and user attribute data of a user after the first acquisition unit acquires target learning content corresponding to the content to be searched; wherein the learning behavior data at least comprises an access page address and page operation information; the user attribute data at least comprises the age of the user and the preference of the user for the content output form;
the second determining unit is further configured to determine a push policy of the target learning content according to the learning behavior data and the user attribute data;
and the pushing unit is used for pushing the target learning content to the user according to the pushing strategy.
11. An electronic device, comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory for executing the learning content acquisition method based on the image recognition according to any one of claims 1 to 5.
12. A computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute the learning content acquisition method based on image recognition according to any one of claims 1 to 5.
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| CN111081105B (en) * | 2019-07-17 | 2022-07-08 | 广东小天才科技有限公司 | Dictation detection method in black screen standby state and electronic equipment |
| CN110503087A (en) * | 2019-08-19 | 2019-11-26 | 广东小天才科技有限公司 | A kind of searching method, device, terminal and the storage medium of frame topic of taking pictures |
| CN110598217B (en) * | 2019-09-19 | 2023-10-20 | 广东小天才科技有限公司 | Click-to-read content identification method and device, home teaching machine and storage medium |
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| CN111402640A (en) * | 2020-03-04 | 2020-07-10 | 香港生产力促进局 | Children education robot and learning material pushing method thereof |
| CN111507330B (en) * | 2020-04-15 | 2023-04-25 | 腾讯科技（深圳）有限公司 | Problem recognition method and device, electronic equipment and storage medium |
| CN111711757B (en) * | 2020-06-29 | 2022-03-08 | 广东小天才科技有限公司 | Test question shooting method and device capable of preventing finger from being blocked, electronic equipment and storage medium |
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