CN113360685A - Method, device, equipment and medium for processing note content - Google Patents
Method, device, equipment and medium for processing note content Download PDFInfo
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Abstract
The application discloses a note content processing method, a note content processing device, a note content processing medium and a program product, relates to the field of internet, and particularly relates to computer vision, NLP, deep learning and intelligent search technologies. The specific implementation scheme is as follows: acquiring an image of note content with at least one piece of mark information, wherein the mark information is used for marking key information in the note content; identifying the mark information and note content corresponding to each mark information from the image; and correspondingly establishing an index for each piece of marking information and the note content corresponding to the marking information, wherein the index is used for retrieving the note content according to the marking information. The method and the device can reduce repetitive work of the user during recording, improve the efficiency of note recording, reduce the memory burden of the user on the key text during retrieval and improve the efficiency of note retrieval.
Description
Technical Field
The present application relates to the field of the internet, and in particular, to a computer vision, NLP, deep learning, and intelligent search technique, and more particularly, to a method, an apparatus, a device, a medium, and a program product for processing a content of a note.
Background
When processing the blackboard-writing information generated in a meeting/classroom, a user usually takes a picture to record and form a note, then arranges the note into an electronic version, and then searches through input keywords when wanting to check a certain content, and extracts the stored information.
In the process, the user not only needs to arrange the photographed and recorded notes to generate a large amount of repetitive work, but also needs to remember the keywords of the corresponding content by oneself to search the content during searching, so that the memory burden is caused, the searching is easy to fail, and the use of the user is influenced.
Disclosure of Invention
The application provides a note content processing method, device, equipment, medium and program product, so as to improve the efficiency of note recording and retrieval.
In a first aspect, the present application provides a method for processing note content, including:
acquiring an image of note content with at least one piece of mark information, wherein the mark information is used for marking key information in the note content;
identifying the mark information and note content corresponding to each mark information from the image;
and correspondingly establishing an index for each piece of marking information and the note content corresponding to the marking information, wherein the index is used for retrieving the note content according to the marking information.
In a second aspect, the present application also provides an apparatus for processing note content, including:
the note image acquisition module is used for acquiring an image of note content with at least one piece of mark information, wherein the mark information is used for marking key information in the note content;
the image identification module is used for identifying the mark information and note content corresponding to each mark information from the image;
and the index establishing module is used for correspondingly establishing an index for each piece of mark information and the note content corresponding to the mark information, wherein the index is used for retrieving the note content according to the mark information.
In a third aspect, the present application further provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a note content processing method as described in any embodiment of the present application.
In a fourth aspect, the present application further provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method for processing notebook content according to any of the embodiments of the present application.
In a fifth aspect, the present application further provides a computer program product comprising a computer program which, when executed by a processor, implements the method for processing notebook content according to any of the embodiments of the present application.
It should be understood that the statements herein do not intend to identify key or critical features of the present application, nor to limit the scope of the present application. Other features of the present application will become readily apparent from the following description, and other effects of the above alternatives will be described hereinafter in conjunction with specific embodiments.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
FIG. 1 is a flow chart diagram of a note content processing method according to an embodiment of the application;
FIG. 2 is a flow chart diagram of a note content processing method according to an embodiment of the application;
FIG. 3 is a schematic diagram of a note taking process according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a note retrieval process according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of a note content processing device according to an embodiment of the present application;
fig. 6 is a block diagram of an electronic device for implementing a note content processing method according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a flowchart illustrating a note content processing method according to an embodiment of the present application, which is applicable to how to record the contents of a blackboard-writing as a note and how to retrieve the contents of the note when processing blackboard-writing information generated in a meeting/classroom, and relates to the internet field, in particular to a computer vision, NLP, deep learning, and intelligent search technology. The method may be performed by an apparatus for processing the content of the note, which is implemented by software and/or hardware, and is preferably configured in an electronic device, such as a computer device, a mobile terminal, or a server. As shown in fig. 1, the method specifically includes the following steps:
s101, obtaining an image of note content with at least one piece of mark information, wherein the mark information is used for marking key information in the note content.
Note content may be from a board book or the like generated in any meeting or classroom, which is not limited in this application, and content that any user wants to record as a note may be stored by taking a picture.
Note that, at least one piece of mark information for marking the key information is also included in the note content. The marking information may be the notes of the person who writes the blackboard writing, or the marks added by the user to the note content, which is not limited in this application. Meanwhile, the form of the marking information is not limited in the present application, and any marking information that can mark the key information may be used, for example, marking information such as symbols or underlines.
And S102, identifying the mark information from the image and the note content corresponding to each mark information.
Characters in the image can be recognized by computer vision, NLP and other technologies, all note contents recorded in the image are automatically recognized, and a note document is formed and stored. In the embodiment of the application, all the mark information in the image and the note content corresponding to each mark information are also identified.
Specifically, the content between the current mark information and the next mark information may be extracted as the note content corresponding to the current mark information, or the content adjacent to the current mark information in the image may be taken as the note content corresponding to the current mark information. For example, if the current marking information is an underline, the part marked by the underline is taken as the note content corresponding to the underline; and if the current mark information is a five-pointed star-like heavy point symbol, taking the middle part of the line where the symbol is located and the line where the next mark information is located as the note content corresponding to the five-pointed star heavy point symbol. In specific implementation, the method can be implemented by using a neural network model trained based on a deep learning technology in advance, and the specific implementation mode for extracting the marking information and the corresponding note content is not limited at all.
S103, correspondingly establishing indexes for each piece of marking information and the note content corresponding to the marking information, wherein the indexes are used for retrieving the note content according to the marking information.
In the prior art, the index can be formed by arranging the note content by the user, so that the user can plan the query in detail, not only is a lot of repetitive work required to be spent, but also the text keywords searched by the user need to be memorized during the search, and the memory burden of the user is increased. In the method, each mark information and the corresponding note content are automatically and correspondingly indexed, when some note content needs to be retrieved, only the mark information needs to be memorized, and the note content corresponding to the mark information can be retrieved through the mark information, so that the memory burden of a user is reduced, meanwhile, the user does not need to arrange and establish the index by himself, and the note processing efficiency is improved.
According to the technical scheme of the embodiment of the application, the mark information and the note content corresponding to the mark information are identified, and the index is correspondingly established, so that the note content can be retrieved through the mark information and the index, the repeated work of a user in recording notes is reduced, and the note recording efficiency is improved. Meanwhile, the memory burden of the user on the key text during retrieval can be reduced, and the efficiency of note retrieval is improved.
Fig. 2 is a schematic flow chart of a note content processing method according to an embodiment of the present application, and the present embodiment further performs optimization based on the above embodiment. As shown in fig. 2, the method specifically includes the following steps:
s201, obtaining an image of the note content with at least one piece of mark information, wherein the mark information is used for marking key information in the note content.
S202, identifying the mark information from the image, and identifying the note content corresponding to at least one mark information in each type according to the type of the mark information.
The type of the mark information may be divided according to the shape of the mark, such as triangle, five-pointed star, diagonal line, underline, and the like. Note content may contain multiple types of tag information, and there may be multiple tag information of the same type. Therefore, after identifying the tag information, the note content corresponding to at least one tag information of each type is identified according to the type of the tag information. In addition, note contents corresponding to the same type of marking information can be aggregated, corresponding number of note contents are generated according to the number of the marking information, and the note contents are sorted according to the items according to the appearance sequence of the marking information, so that a user can conveniently check the note contents.
S203, according to the types of the marking information, at least one marking information in each type and the corresponding note content are correspondingly indexed.
And S204, responding to the retrieval request carrying the retrieval mark, and retrieving and displaying the target note content corresponding to the retrieval mark according to the retrieval mark and the index.
When the user needs to search the note content, the user needs to determine and input the mark to be searched, and the target note content corresponding to the search mark can be searched according to the search mark and the index.
Specifically, the target note content corresponding to the retrieval mark is retrieved in the index, and then the target note content is displayed in the order in which the retrieval marks appear in the image. That is, if more than one retrieval mark is in the image, all the target note contents corresponding to the retrieval mark are retrieved, and when displayed, the retrieval marks are displayed in the order of appearance in the image for the user to view. In addition, the display mode of the target note content is not limited to this, and the present application does not limit this at all.
Illustratively, fig. 3 is a schematic diagram of a note recording process according to an embodiment of the application, and fig. 4 is a schematic diagram of a note retrieval process according to an embodiment of the application. It should be noted that the contents listed in fig. 3 and fig. 4 are only examples, and are described as an example of a method for implementing the embodiment of the present application on a mobile terminal. Of course, the method of the embodiment of the application can be implemented on any intelligent terminal with a photographing function.
As shown in fig. 3, the blackboard writing is marked with the mark information of the five-pointed star, the triangle and the word of "Todo", after the user takes a picture of the blackboard writing and saves the picture, the three types of mark information can be identified by identifying the image of the blackboard writing, and meanwhile, the note content corresponding to each type of mark information is identified and the record is generated. As shown in the figure, in the generated record, the mark information of the five-pointed star, the triangle and the word of "Todo" are listed respectively, and the note content corresponding to each mark information is also listed correspondingly. Meanwhile, since the note contents of 3 different entries exist after the mark information of the word "Todo" in the image, the note contents are listed according to the entries. Therefore, the marking information and the corresponding note content can be correspondingly indexed for subsequent retrieval. In addition, since the blackboard writing has contents in which the tag information is not marked, the generated record may include a part of the detailed meeting record, that is, the entire contents of the blackboard writing are recognized and the record is generated.
As shown in fig. 4, when the note needs to be retrieved, a mark to be retrieved, such as a five-pointed star, is input first, and then all note contents corresponding to the five-pointed star can be listed according to the index by an entry, and when a certain entry which is desired to be viewed is clicked, detailed contents related to the entry can be further displayed. Therefore, the user does not need to memorize the key words of the specific content to be searched, and can realize the query only by inputting the search mark.
According to the technical scheme of the embodiment of the application, the mark information and the note content corresponding to the mark information are identified, and the index is correspondingly established, so that the note content can be retrieved through the mark information and the index, the repeated work of a user in recording notes is reduced, and the note recording efficiency is improved. Meanwhile, the memory burden of the user on the key text during retrieval can be reduced, and the efficiency of note retrieval is improved.
Fig. 5 is a schematic structural diagram of a notebook content processing apparatus according to an embodiment of the present application, which is applicable to how to record the content of a blackboard-writing as a note and how to retrieve the content in the note when processing blackboard-writing information generated in a meeting/classroom, and relates to the field of internet, in particular to a computer vision, NLP, deep learning, and intelligent search technology. The device can realize the note content processing method in any embodiment of the application. As shown in fig. 5, the apparatus 500 specifically includes:
a note image obtaining module 501, configured to obtain an image of note content with at least one piece of tag information, where the tag information is used to label key information in the note content;
an image identification module 502, configured to identify the tag information and note content corresponding to each tag information from the image;
an index creating module 503, configured to create an index corresponding to each piece of tag information and the note content corresponding to the piece of tag information, where the index is used to retrieve the note content according to the tag information.
Optionally, the image recognition module 502 is specifically configured to:
and identifying the mark information from the image, and identifying note content corresponding to at least one mark information in each type according to the type of the mark information.
Optionally, the index establishing module 503 is specifically configured to:
and according to the types of the marking information, establishing indexes corresponding to at least one marking information of each type and the corresponding note content.
Optionally, the apparatus further comprises:
and the retrieval module is used for responding to a retrieval request carrying a retrieval mark, retrieving and displaying the target note content corresponding to the retrieval mark according to the retrieval mark and the index.
Optionally, the retrieving module includes:
a retrieval unit configured to retrieve target note content corresponding to the retrieval tag in the index;
and the display unit is used for displaying the target note content according to the sequence of the retrieval marks appearing in the image.
The notebook content processing apparatus 500 provided in the embodiment of the present application may execute the notebook content processing method provided in any embodiment of the present application, and has functional modules and beneficial effects corresponding to the execution method. Reference may be made to the description of any method embodiment of the present application for details not explicitly described in this embodiment.
There is also provided, in accordance with an embodiment of the present application, an electronic device, a readable storage medium, and a computer program product.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 6, the apparatus 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 executes the respective methods and processes described above, such as the note content processing method. For example, in some embodiments, the note content processing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into the RAM 603 and executed by the computing unit 601, one or more steps of the note content processing method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the note content processing method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome. The server may also be a server of a distributed system, or a server incorporating a blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel or sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (13)
1. A method of processing annotation content, comprising:
acquiring an image of note content with at least one piece of mark information, wherein the mark information is used for marking key information in the note content;
identifying the mark information and note content corresponding to each mark information from the image;
and correspondingly establishing an index for each piece of marking information and the note content corresponding to the marking information, wherein the index is used for retrieving the note content according to the marking information.
2. The method of claim 1, wherein the identifying the tag information from the image and the note content corresponding to each tag information comprises:
and identifying the mark information from the image, and identifying note content corresponding to at least one mark information in each type according to the type of the mark information.
3. The method of claim 2, wherein the indexing each of the tagged information and the corresponding note content comprises:
and according to the types of the marking information, establishing indexes corresponding to at least one marking information of each type and the corresponding note content.
4. The method of claim 1, further comprising:
and responding to a retrieval request carrying a retrieval mark, and retrieving and displaying target note content corresponding to the retrieval mark according to the retrieval mark and the index.
5. The method of claim 4, wherein the retrieving and displaying the target note content corresponding to the retrieval tag according to the retrieval tag and the index comprises:
retrieving target note content corresponding to the retrieval tag in the index;
and displaying the target note contents according to the sequence of the retrieval marks appearing in the image.
6. An apparatus for processing contents of notes, comprising:
the note image acquisition module is used for acquiring an image of note content with at least one piece of mark information, wherein the mark information is used for marking key information in the note content;
the image identification module is used for identifying the mark information and note content corresponding to each mark information from the image;
and the index establishing module is used for correspondingly establishing an index for each piece of mark information and the note content corresponding to the mark information, wherein the index is used for retrieving the note content according to the mark information.
7. The apparatus of claim 6, wherein the image recognition module is specifically configured to:
and identifying the mark information from the image, and identifying note content corresponding to at least one mark information in each type according to the type of the mark information.
8. The apparatus of claim 7, wherein the index building module is specifically configured to:
and according to the types of the marking information, establishing indexes corresponding to at least one marking information of each type and the corresponding note content.
9. The apparatus of claim 6, further comprising:
and the retrieval module is used for responding to a retrieval request carrying a retrieval mark, retrieving and displaying the target note content corresponding to the retrieval mark according to the retrieval mark and the index.
10. The apparatus of claim 9, wherein the retrieving module comprises:
a retrieval unit configured to retrieve target note content corresponding to the retrieval tag in the index;
and the display unit is used for displaying the target note content according to the sequence of the retrieval marks appearing in the image.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the note content processing method of any one of claims 1-5.
12. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the note content processing method of any one of claims 1-5.
13. A computer program product comprising a computer program which, when executed by a processor, implements a note content processing method according to any of claims 1-5.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114049639A (en) * | 2021-11-05 | 2022-02-15 | 海信集团控股股份有限公司 | Image processing method and device |
| CN116594548A (en) * | 2023-06-15 | 2023-08-15 | 广州银狐科技股份有限公司 | Intelligent teaching blackboard management and control system based on cloud platform |
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| CN116594548A (en) * | 2023-06-15 | 2023-08-15 | 广州银狐科技股份有限公司 | Intelligent teaching blackboard management and control system based on cloud platform |
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