Intelligent collecting and editing method and system, electronic equipment, storage medium and program product

Abstract

The invention provides an intelligent collecting and editing method and system, electronic equipment, a storage medium and a program product, and the method comprises the following steps: recognizing a collecting and editing target, so as to obtain link information matched with the collecting and editing target from a database; obtaining current feature information of the collecting and editing target, and analyzing according to the feature information to obtain analysis information corresponding to the collecting and editing target; performing conversion and editing according to the language information corresponding to the collecting and editing target to form conversion information; and generating a report material according to the link information, the analysis information and the conversion information. According to the method, the report materials can be automatically collected, edited and generated, the news production period is greatly shortened, and the method can be used for reports of various news events from emergencies to deep investigation.

Description

Technical Field

[0001] The present invention relates to the technical field of information collection, and in particular to an intelligent collection and editing method, system, electronic equipment, storage medium and program product. Background Art

[0002] With the rapid development of information technology, the field of news reporting faces challenges such as large amounts of information, fast update speed, and high accuracy requirements. Traditional editing and compiling methods often cannot meet the needs of quickly acquiring and processing information. Therefore, a new technical means is needed to assist journalists in completing their work more efficiently. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent news editing method, system, electronic device, storage medium and program product. The intelligent news editing is combined with augmented reality technology to significantly improve the efficiency and quality of news editing and reduce human errors.

[0004] To achieve the above-mentioned purpose, the present invention provides an intelligent editing method, comprising the following steps: identifying an editing target to obtain link information matching the editing target from a database; obtaining current feature information of the editing target, and obtaining analysis information corresponding to the editing target based on the feature information analysis; performing conversion and editing based on the language information corresponding to the editing target to form conversion information; and generating reporting materials based on the link information, the analysis information and the conversion information.

[0005] Optionally, while identifying the editing target, obtaining the current feature information of the editing target, and obtaining the language information from the editing target, the acquired multimedia information is saved; and multimedia media reporting materials are generated based on the multimedia information, the link information, the analysis information and the conversion information.

[0006] Optionally, the identifying of the acquisition and editing target to obtain link information matching the acquisition and editing target from a database specifically includes: calling a collection device to identify the acquisition and editing target in the current viewing angle, and obtaining link information matching the acquisition and editing target from the Internet.

[0007] Optionally, generating the report material according to the link information, the analysis information and the conversion information specifically includes: inputting the link information, the analysis information and the conversion information into a large language model to generate the report material.

[0008] Optionally, the method further includes the following steps: generating prediction information based on a deep learning algorithm according to the link information, the analysis information and the conversion information.

[0009] Optionally, the method further includes the following steps: matching and displaying references corresponding to the reporting material in a database according to the reporting material.

[0010] The present invention also provides an intelligent editing and compiling system, comprising: an identification module, used to identify editing and compiling targets, so as to obtain link information matching the editing and compiling targets from a database; an analysis module, used to obtain current feature information of the editing and compiling targets, and obtain analysis information corresponding to the editing and compiling targets based on the feature information analysis; a conversion module, used to perform conversion and editing based on language information corresponding to the editing and compiling targets to form conversion information; and a generation module, used to generate reporting materials based on the link information, the analysis information and the conversion information.

[0011] The present invention also provides an electronic device, comprising: a memory storing a computer program; a processor communicatively connected to the memory, and executing the intelligent editing and compiling method described in any one of the above claims when the computer program is called; and a display communicatively connected to the processor and the memory, and used to display a GUI interactive interface related to the intelligent editing and compiling method.

[0012] To achieve the above objectives, the present invention further provides a readable storage medium storing a computer program, which, when executed by a processor, implements any of the above-mentioned intelligent editing and compiling methods.

[0013] To achieve the above objectives, the present invention also provides a computer program product, which, when executed by a processor, implements any of the above-mentioned intelligent editing and compiling methods.

[0014] The intelligent editing method, system, electronic device, storage medium and program product provided by the present invention have the following beneficial effects:

[0015] The present invention provides an intelligent editing method, comprising the following steps: identifying an editing target to obtain link information matching the editing target from a database; obtaining current feature information of the editing target, and obtaining analysis information corresponding to the editing target according to the feature information analysis; performing conversion and editing according to language information corresponding to the editing target to form conversion information; and generating reporting materials according to the link information, the analysis information, and the conversion information. With such a configuration, the present invention can identify the editing target in real time and obtain relevant information related to the editing target based on augmented reality technology, automatically edit and generate news releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing, and reduce human errors. It can be used for reporting on a variety of news events from emergencies to in-depth investigations.

[0016] The present invention also provides an intelligent editing system, which is used to execute any of the intelligent editing methods described above. Therefore, the intelligent editing system can identify the editing target in real time and obtain relevant information about the editing target based on augmented reality technology, automatically edit and generate news releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing, reduce human errors, and can be used to report on a variety of news events from emergencies to in-depth investigations.

[0017] The present invention also provides an electronic device, which is used to execute any of the above-mentioned intelligent editing methods. Therefore, the electronic device can identify the editing target in real time and obtain relevant information about the editing target based on augmented reality technology, automatically edit and generate news releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing, reduce human errors, and can be used to report on a variety of news events from emergencies to in-depth investigations.

[0018] The present invention also provides a readable storage medium, which is used to execute any of the above-mentioned intelligent editing methods. Therefore, the readable storage medium can identify the editing target in real time and obtain relevant information about the editing target based on augmented reality technology, automatically edit and generate news releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing, reduce human errors, and can be used to report on a variety of news events from emergencies to in-depth investigations.

[0019] The present invention also provides a computer program product, which is used to execute any of the above-mentioned intelligent editing methods. Therefore, the computer program product can identify the editing target in real time and obtain relevant information about the editing target based on augmented reality technology, automatically edit and generate news releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing, reduce human errors, and can be used to report on a variety of news events from emergencies to in-depth investigations. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic diagram of a flow chart of an intelligent editing method provided by an embodiment of the present invention;

[0021] Figure 2 A schematic diagram of a block structure of an electronic device provided by an embodiment of the present invention;

[0022] The accompanying drawings are denoted as follows:

[0023] 101 - processor; 102 - communication interface; 103 - memory; 104 - communication bus; 105 - display. DETAILED DESCRIPTION

[0024] In order to make the purpose, advantages and features of the present invention clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the drawings are all in a very simplified form and are not drawn to scale, and are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention. In addition, the structure shown in the drawings is often a part of the actual structure. In particular, the emphasis of each drawing is different, and sometimes different scales are used.

[0025] It should be understood that when an element or layer is referred to as "on...", "connected to" other elements or layers, it can be directly on other elements or layers, connected to other elements or layers, or there can be intervening elements or layers. On the contrary, when an element is referred to as "directly on...", "directly connected to" other elements or layers, there is no intervening element or layer. Although the terms first, second, third, etc. can be used to describe various elements, components, regions, layers and / or parts, these elements, components, regions, layers and / or parts should not be limited by these terms. These terms are only used to distinguish an element, component, region, layer or part from another element, component, region, layer or part. Therefore, without departing from the teachings of the present invention, the first element, component, region, layer or part discussed below can be expressed as a second element, component, region, layer or part. Spatial relationship terms such as "under...", "below", "below", "above...", "above", "above", etc., can be used here for the convenience of description to describe the relationship between an element or feature shown in the figure and other elements or features. It should be understood that, in addition to the orientation shown in the figure, the spatial relationship terms are intended to include different orientations of the devices in use and operation. For example, if the device in the accompanying drawings is turned over, then, the elements or features described as "under...", "below", "below" will be oriented to be "on" other elements or features. The device can be oriented in addition (rotated 90 degrees or other orientations) and the spatial descriptors used herein are interpreted accordingly. The purpose of the terms used herein is only to describe specific embodiments and is not intended to be a limitation of the present invention. When used herein, the singular forms of "one", "one" and "said / the" are also intended to include plural forms, unless the context clearly indicates another way. It should also be understood that the term "include" is used to determine the presence of features, steps, operations, elements and / or parts, but does not exclude the presence or addition of one or more other features, steps, operations, elements, parts and / or groups. When used herein, the term "and / or" includes any and all combinations of the relevant listed items.

[0026] The purpose of the present invention is to provide an intelligent news editing method, system, electronic device, storage medium and program product. The intelligent news editing is combined with augmented reality technology to significantly improve the efficiency and quality of news editing and reduce human errors.

[0027] To achieve the above-mentioned purpose, the present invention provides an intelligent editing method, comprising the following steps: identifying an editing target to obtain link information matching the editing target from a database (such as a person's background, historical event information of things, etc.); obtaining current feature information of the editing target, and obtaining analysis information corresponding to the editing target based on the feature information analysis (such as a person's emotional analysis, a factory's environmental assessment, etc.); performing conversion and editing based on the language information corresponding to the editing target to form conversion information (such as recording and intelligent polishing conversion through interviews or reporters' on-the-spot commentary, which can retain spoken language or convert spoken language into written language); generating reporting materials based on the link information, the analysis information and the conversion information.

[0028] With such a configuration, the present invention can, based on augmented reality technology, identify the editing target in real time and obtain relevant information about the editing target, automatically edit and generate press releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing, reduce human errors, and can be used for reporting on a variety of news events from emergencies to in-depth investigations.

[0029] As a genre of writing that is mainly narrative, the basic elements of news are consistent with the six elements of narratives commonly used in our language community. The textbook summarizes them as "5W+1H", namely: Who, When, Where, What, Why, How, in other words: People, Time, Place, Event, Cause, and Process. Obviously, it is easier for us to obtain the time, place, and related people, but the cause and process of the event depend on the reporter's research and visits, and the essence of the research and visits is to mine the information of the target of editing, including the existing information that can be retrieved (i.e., the link information), the information that cannot be retrieved and must be analyzed according to the characteristics of the target of editing (i.e., the analysis information), and the dynamic information obtained by interaction with the target of editing (i.e., the conversion information). Based on this, the present invention combines augmented reality technology to provide a new and efficient news editing technology solution. Augmented reality technology, as a technology that integrates virtual information with the real world, provides new possibilities for news editing.

[0030] It should be noted that the identification of the target of the interview and editing to obtain link information matching the target of the interview and editing from the database specifically includes: calling the acquisition device to identify the target of the interview and editing in the current perspective, and obtaining link information matching the target of the interview and editing from the Internet. The target of the interview and editing can be a person being interviewed, or a non-human target being interviewed, such as a factory being visited, a historical site, etc.

[0031] The implementation method of identifying the editing target includes but is not limited to using devices such as AR glasses or smart phones based on augmented reality technology, and the identification method includes but is not limited to the target recognition method. The current perspective image can be feature extracted, and these features can be visual features such as color, texture, shape, gradient, etc., or they can be more advanced and abstract features automatically extracted based on deep learning algorithms. For example, for color features, the system will analyze the distribution and proportion of various colors in the image; for texture features, it will pay attention to the arrangement and repetition pattern of pixels in the image. Through these feature extraction methods, each picture is converted into a set of feature vectors for subsequent comparison and matching. After extracting the feature vector of the current perspective image, the similarity is calculated with the feature vector of the picture already in the database. Commonly used similarity calculation methods include Euclidean distance, cosine similarity, etc. The smaller the Euclidean distance or the larger the cosine similarity, the more similar the two pictures are. The system will sort the search results according to the similarity, and finally identify the editing target from the Internet.

[0032] After identifying the target of the collection and editing, the relevant information of the target of the collection and editing is retrieved from the Internet by identifying the identity information of the target of the collection and editing. Through AR glasses or mobile devices, reporters can see real-time superimposed relevant information at the collection site, such as character background, historical event information, etc., to help reporters quickly obtain materials and improve the accuracy and depth of news. For example, in a breaking news event, reporters arrived at the scene wearing AR glasses. AR glasses instantly display the social media dynamics, historical background and other information of the relevant parties. At the same time, the scene intelligent analysis module scans the scene, identifies key witnesses and prompts reporters to interview. The corresponding functional module can not only provide basic text and picture information, but also provide real-time voice commentary through voice recognition technology to help reporters better understand the situation on the scene. In addition, the module can dynamically adjust the displayed information according to the changes in the reporter's position to ensure that the reporter obtains the most relevant information.

[0033] Furthermore, while identifying the target of the collection and editing, obtaining the current feature information of the target of the collection and editing, and obtaining the language information from the target of the collection and editing, the obtained multimedia information is saved; and multimedia media reporting materials are generated according to the multimedia information, the link information, the analysis information, and the conversion information. This step mainly applies the video editing capabilities related to AIGC, and the implementation methods include but are not limited to customized training and learning of large models for news editing styles. In AIGC editing, supervised learning can be used to train a large amount of annotated video data. For example, by learning videos with clip point annotations, the model can predict potential clip positions in new videos. Common algorithms include decision trees, support vector machines, etc., which can judge the timing of editing based on various features in the video (such as changes in the content of the picture, the rhythm of the audio, etc.). Unsupervised learning can discover the inherent structure in the video data. For example, clustering algorithms can group similar picture contents together to help automatically generate video clips. By clustering and analyzing the color, texture, motion trajectory and other features of the video picture, the AIGC system can dig out logical groupings in the video and provide references for editing. The AIGC editing system uses target detection technology to identify key elements such as people and objects in the video. For example, in sports event video editing, the athletes' movements and postures can be accurately detected, so that editing can be performed at the wonderful moment. At the same time, object recognition helps to understand the content of the scene, such as identifying mountains and rivers in landscape videos, so as to arrange the editing rhythm according to the appearance and changes of these elements. Through the content analysis of the video, including the composition of the picture, the switching of scenes, etc. For example, the relationship between the subject and the background in the picture can be analyzed, and when the subject changes significantly or a new balance appears in the composition of the picture, possible editing points are prompted. In addition, the identification of the type of scene in the video (such as indoor, outdoor, combat scene, warm scene, etc.) also helps to determine the style and order of editing. This greatly enriches the form of news reporting and increases the attractiveness of the content.

[0034] Specifically, generating the reporting material according to the link information, the analysis information and the conversion information specifically includes: inputting the link information, the analysis information and the conversion information into the large language model to generate the reporting material. The large language model can quickly retrieve and organize a large amount of background information, past reports, social media information, etc., to help reporters discover the context and background of the development of events, as well as the associations and patterns between data. This allows reporters to have a more comprehensive understanding of the reporting topic before the interview, so as to construct more targeted and in-depth questions, and provide rich materials and in-depth perspectives for news writing. The large language model can also automatically capture comments, articles and other information on the Internet to analyze the public's attitudes and views on a certain event or topic. Through the analysis of public opinion, reporters can understand the opinions and needs of different groups, provide a diversified perspective for news reports, and better grasp the basic trend of news events, seize the initiative in reporting, and keep the news hot in public discussions. The large language model can integrate and analyze the speech, behavior and background information of the interviewee, help reporters predict the interviewee's views and reactions, and thus design more targeted questions to improve the effectiveness and influence of the interview. At the news interview site, the large language model also has the ability to capture a variety of information such as on-site images and sounds in real time, assisting reporters in discovering abnormal situations and unusual things at the scene, allowing reporters to ask more targeted and in-depth questions, and improving the accuracy and authority of reports. After being trained with a large amount of text data, the large language model can understand and generate human language. During the news writing process, it can quickly generate a first draft of a news article, or provide reporters with writing ideas, article structure suggestions, etc., which greatly improves the efficiency of news writing, especially for some news reports with high timeliness requirements, which can help reporters complete writing tasks faster. However, it should be noted that the present invention is not a simple application of a large language model, but based on the link information, the analysis information and the conversion information, it solves the problem of how to use a large language model to better write news based on human wisdom.

[0035] Furthermore, the method further includes the following steps: generating prediction information based on the link information, the analysis information and the conversion information based on a deep learning algorithm. The deep learning algorithm can predict various events based on the existing information and patterns, but the accuracy of the prediction results is affected by many factors. The deep learning algorithm has powerful data analysis and pattern recognition capabilities, and it can mine news. By analyzing the multi-dimensional information of the news, a complex model is constructed. For example, in the financial field, it can predict industry trends based on historical data such as market dynamics, policy changes, and corporate financial reports, and provide direction for economic news reports in advance. In the field of science and technology, the analysis of the progress of new technology research and development and the status of patent applications can estimate the time and influence of the release of new technologies, so that science and technology news can be reported in a forward-looking manner before the event occurs. At the same time, for social hot topics, the algorithm can track their development context and predict possible new trends, so that the news media is no longer just reporting after the fact, but can lay out in advance to provide the audience with more valuable and guiding forward-looking news content.

[0036] Furthermore, the following steps are included: according to the report material, matching and displaying the references corresponding to the report material in the database. The trained model can identify which parts of the text are references to other documents by analyzing a large amount of text. For example, the model will learn specific reference formats (such as the format of "[author's surname, year]"), keywords that mention other documents (such as "based on the research of so-and-so" and "reference [X] indicates", etc.), and understand the reference meanings they represent. The model will also learn the logical relationship and association between different documents. For example, the documents cited in a paper may be related to the theme, method or conclusion of the paper. The model will try to understand these associations and recommend possible references based on the relevance of the theme when generating references. The automatic reference query function provides a depth and breadth expansion for the report. The system automatically retrieves a series of related academic articles and historical reports based on the report theme, providing reporters with comprehensive background information and reference perspectives. The system can automatically retrieve relevant references in the database based on the theme and keywords of the report, including academic papers, news reports, book chapters, etc., providing reporters and editors with rich background information and in-depth analysis perspectives. This function not only improves the authority and credibility of reports, but also greatly saves time for manual data search. Advanced search engine technology and semantic understanding algorithms can be used to quickly locate references that are highly relevant to the report topic in a huge literature database. It can support keyword searches and understand complex query statements through natural language processing technology to provide more accurate search results. In addition, it can be configured to automatically organize and classify the retrieved documents, making it easier for reporters and editors to quickly browse and cite.

[0037] During the entire editing process, all materials and manuscripts are synchronized to the cloud collaboration platform in real time for the editorial team to review and supplement. All data and generated content will be stored on the cloud server to achieve real-time collaboration and resource sharing among team members, ensuring the timeliness of information and the efficiency of team collaboration. The cloud collaboration platform promotes communication and cooperation among teams. The platform supports document sharing and real-time editing, and also integrates project management tools to help teams better plan workflows and division of labor. In addition, the platform can also provide data analysis tools to quantitatively evaluate the work performance of the team.

[0038] The present invention also provides an intelligent editing and compiling system, comprising: an identification module, used to identify editing and compiling targets, so as to obtain link information matching the editing and compiling targets from a database; an analysis module, used to obtain current feature information of the editing and compiling targets, and obtain analysis information corresponding to the editing and compiling targets based on the feature information analysis; a conversion module, used to perform conversion and editing based on language information corresponding to the editing and compiling targets to form conversion information; and a generation module, used to generate reporting materials based on the link information, the analysis information and the conversion information.

[0039] Since the intelligent editing system is used to execute any of the intelligent editing methods described above, the intelligent editing system can identify the editing target in real time and obtain relevant information about the editing target based on augmented reality technology, automatically edit and generate news releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing, reduce human errors, and can be used to report on a variety of news events from emergencies to in-depth investigations.

[0040] Since the intelligent editing system provided by the present invention and the intelligent editing method described above belong to the same inventive concept, the electronic device provided by the present invention has all the advantages of the intelligent editing method described above, so the beneficial effects of the electronic device provided by the present invention will not be described one by one here.

[0041] To achieve the above object, the present invention also provides an electronic device, please refer to Figure 2 , Figure 2 FIG. 1 is a block diagram of an electronic device provided by an embodiment of the present invention. Figure 2 As shown, the electronic device includes:

[0042] A memory 103 storing a computer program;

[0043] A processor 101 is connected to the memory for executing any one of the above-mentioned intelligent editing and compiling methods when calling the computer program;

[0044] The display 105 is communicatively connected with the processor and the memory, and is used to display a GUI interaction interface related to the intelligent editing method.

[0045] like Figure 2 As shown, the electronic device also includes a communication interface 102 and a communication bus 104, wherein the processor 101, the communication interface 102, and the memory 103 communicate with each other through the communication bus 104. The communication bus 104 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus 104 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus. The communication interface 102 is used for communication between the above-mentioned electronic device and other devices.

[0046] The processor 101 referred to in the present invention may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor 101 is the control center of the electronic device, and various interfaces and lines are used to connect various parts of the entire electronic device.

[0047] The memory 103 may be used to store the computer program. The processor 101 implements various functions of the electronic device by running or executing the computer program stored in the memory 103 and calling the data stored in the memory 103 .

[0048] The memory 103 may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0049] Since the electronic device is used to execute any of the above-mentioned intelligent editing methods, the electronic device can identify the editing target in real time and obtain relevant information about the editing target based on augmented reality technology, automatically edit and generate news releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing, reduce human errors, and can be used to report on a variety of news events from emergencies to in-depth investigations.

[0050] Since the electronic device provided by the present invention and the intelligent editing method described above belong to the same inventive concept, the electronic device provided by the present invention has all the advantages of the intelligent editing method described above, so the beneficial effects of the electronic device provided by the present invention will not be described one by one here.

[0051] To achieve the above-mentioned purpose, the present invention provides a readable storage medium storing a computer program, which, when executed by a processor, implements the intelligent editing and compiling method as described in any one of the above items. Since the readable storage medium is used to execute any of the intelligent editing and compiling methods described above. Therefore, the readable storage medium can, based on augmented reality technology, identify the editing and compiling target in real time and obtain relevant information about the editing and compiling target, automatically compile and generate press releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing and compiling, reduce human errors, and can be used to report on a variety of news events from emergencies to in-depth investigations.

[0052] Since the readable storage medium provided by the present invention and the intelligent editing method described above belong to the same inventive concept, the readable storage medium provided by the present invention has all the advantages of the intelligent editing method described above, so the beneficial effects of the readable storage medium provided by the present invention will not be described one by one here.

[0053] The readable storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer hard disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this article, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, a device or a device or used in combination with it.

[0054] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program codes. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0055] The present invention also provides a computer program product, which, when executed by a processor, implements any of the above-mentioned intelligent editing and compiling methods.

[0056] The present invention also provides a computer program product, which is used to execute any of the above-mentioned intelligent editing methods. Therefore, the computer program product can identify the editing target in real time and obtain relevant information about the editing target based on augmented reality technology, automatically edit and generate news releases, greatly shorten the news production cycle, significantly improve the efficiency and quality of news editing, reduce human errors, and can be used to report on a variety of news events from emergencies to in-depth investigations.

[0057] Since the computer program product provided by the present invention and the intelligent editing method described above belong to the same inventive concept, the computer program product provided by the present invention has all the advantages of the intelligent editing method described above, and the beneficial effects of the computer program product provided by the present invention will not be described one by one here.

[0058] It should be noted that the various embodiments in this specification are described in a progressive manner, and any embodiment focuses on the differences from other embodiments, and the same or similar parts between the various embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0059] It should also be noted that, although the present invention has been disclosed as a preferred embodiment, the above embodiment is not intended to limit the present invention. For any technician familiar with the art, without departing from the scope of the technical solution of the present invention, the technical content disclosed above can be used to make many possible changes and modifications to the technical solution of the present invention, or modified into equivalent embodiments of equivalent changes. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of protection of the technical solution of the present invention.

[0060] It should also be understood that, unless otherwise specified or indicated, the terms "first", "second", "third", etc. in the specification are merely used to distinguish between the various components, elements, steps, etc. in the specification, and are not used to indicate the logical relationship or sequential relationship between the various components, elements, steps, etc.

[0061] It should also be recognized that the terms described herein are used only to describe specific embodiments and are not intended to limit the scope of the invention. It should be noted that the singular forms "a" and "an" used herein and in the appended claims include plural references unless the context clearly indicates otherwise. For example, a reference to "a step" or "a device" means a reference to one or more steps or devices, and may include secondary steps and secondary devices. All conjunctions used should be understood in the broadest sense. And, the word "or" should be understood to have the definition of a logical "or", rather than a logical "exclusive or", unless the context clearly indicates otherwise. In addition, the implementation of embodiments of the present invention may include performing selected tasks manually, automatically, or in combination.

Claims

1. An intelligent editing method, characterized in that: The following steps are involved: Identify the target of the collection and editing, so as to obtain link information matching the target of the collection and editing from the database; Acquire current characteristic information of the acquisition and editing target, and obtain analysis information corresponding to the acquisition and editing target according to the characteristic information analysis; Performing conversion and editing according to the language information corresponding to the editing target to form conversion information; Report materials are generated according to the link information, the analysis information, and the conversion information.

2. The intelligent editing method according to claim 1, characterized in that: While identifying the acquisition and editing target, acquiring current feature information of the acquisition and editing target, and acquiring language information from the acquisition and editing target, storing the acquired multimedia information; Multimedia reporting material is generated according to the multimedia information, the link information, the analysis information and the conversion information.

3. The intelligent editing method according to claim 1, characterized in that: The step of identifying the editing target to obtain link information matching the editing target from a database specifically includes: The acquisition device is called to identify the acquisition target in the current viewing angle, and link information matching the acquisition target is obtained from the Internet.

4. The intelligent editing method according to claim 1, characterized in that: Generating report material according to the link information, the analysis information and the conversion information specifically includes: The link information, the analysis information, and the conversion information are input into a large language model to generate the report material.

5. The intelligent editing method according to claim 1, characterized in that: The following steps are also included: According to the link information, the analysis information and the conversion information, prediction information is generated based on a deep learning algorithm.

6. The intelligent editing method according to claim 1, characterized in that: The following steps are also included: According to the report material, references corresponding to the report material are matched and displayed in a database.

7. An intelligent editing system, applied to the intelligent editing method as claimed in any one of claims 1 to 6, characterized in that: include: An identification module is used to identify an acquisition and editing target, so as to obtain link information matching the acquisition and editing target from a database; An analysis module, used to obtain current feature information of the acquisition and editing target, and obtain analysis information corresponding to the acquisition and editing target according to the feature information analysis; A conversion module, used for converting and editing the language information corresponding to the editing target to form conversion information; A generation module is used to generate report materials according to the link information, the analysis information and the conversion information.

8. An electronic device, characterized in that: The electronic device comprises: a memory storing a computer program; A processor, communicatively connected to the memory, and executing the intelligent editing method according to any one of claims 1 to 6 when calling the computer program; A display is communicatively connected with the processor and the memory, and is used to display a GUI interaction interface related to the intelligent editing method.

9. A readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the intelligent editing method as described in any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that When the computer program product is executed by a processor, the intelligent editing method as described in any one of claims 1 to 6 is implemented.

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