CN113901764A - Content typesetting method and device, electronic equipment and storage medium - Google Patents
Content typesetting method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a content typesetting method, a content typesetting device, electronic equipment and a storage medium; the method and the device for obtaining the medical classified media content can obtain the medical classified media content and the preset typesetting logic of the medical classified media content; and performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content. By the content typesetting method provided by the embodiment of the application, the diagnosis efficiency can be improved.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a content composition method, apparatus, electronic device, and storage medium.
Background
With the development of artificial intelligence, especially the rapid development of artificial neural networks, the artificial intelligence technology is widely applied. At present, artificial intelligence technology is also applied to the medical field. For example, the medical information can be identified based on an artificial intelligence technology to obtain diagnosis information corresponding to the medical information, and the diagnosis information can be typeset. However, the conventional artificial intelligence technology usually typesets the diagnostic information according to a fixed typesetting format to obtain the typesetted diagnostic information. Therefore, after the object obtains the typeset diagnosis information, the typeset medical classified media content needs to be typeset again, which reduces the diagnosis efficiency.
Disclosure of Invention
The embodiment of the application provides a content typesetting method and device, electronic equipment and a storage medium, and the diagnosis efficiency can be improved.
The embodiment of the application provides a content typesetting method, which comprises the following steps:
acquiring medical classified media content and preset typesetting logic of the medical classified media content;
and performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content.
Correspondingly, an embodiment of the present application further provides a content typesetting apparatus, including:
the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring medical classified media content and preset typesetting logic of the medical classified media content;
and the typesetting unit is used for performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content.
In an embodiment, the typesetting unit includes:
the analysis subunit is used for analyzing the typesetting logic to obtain content typesetting sequence information and content typesetting position information;
a sequence adjustment subunit, configured to perform sequence adjustment processing on the medical classified media content based on the content typesetting sequence information, so as to obtain medical classified media content after sequence adjustment;
and the position adjusting subunit is used for carrying out position adjustment processing on the sequentially adjusted medical classified media content based on the content typesetting position information to obtain the typesetted medical classified media content.
In an embodiment, the content composition apparatus further includes:
the logic acquisition unit is used for acquiring preset operation logic of the medical classified media content;
and the operation unit is used for carrying out operation processing on the medical classified media content based on the preset operation logic to obtain the medical classified media content after operation.
In an embodiment, the obtaining unit includes:
the identification subunit is used for identifying the medical classified media content to obtain an object identifier of the medical classified media content;
and the determining subunit is used for determining the preset typesetting logic of the medical classified media content based on the object identification.
In an embodiment, the content composition apparatus further includes:
a model obtaining unit, configured to obtain medical classified media content and preset composition logic of the medical classified media content by using a preset composition model;
and the model typesetting unit is used for performing typesetting processing on the medical classified media content by utilizing a preset typesetting model based on the preset typesetting logic to obtain the typesetted medical classified media content.
In an embodiment, the content composition apparatus further includes:
the system comprises a sample obtaining unit, a data processing unit and a data processing unit, wherein the sample obtaining unit is used for obtaining medical classified media content samples and typesetting models to be trained;
the characteristic generating unit is used for carrying out characteristic generating processing on the medical classified media content sample to obtain the typesetting characteristics of the medical classified media content sample;
and the training unit is used for training the typesetting model to be trained by utilizing the typesetting characteristics to obtain the preset typesetting model.
In an embodiment, the feature generation unit includes:
the attribute obtaining subunit is used for obtaining at least one attribute information of the medical classified media content sample;
the statistical subunit is used for performing statistical processing on the at least one attribute information to obtain statistical data of each attribute information;
the level setting subunit is used for carrying out level setting processing on each attribute information based on the statistical data to obtain the typesetting level of each attribute information;
and the integration subunit is used for integrating the attribute information and the typesetting grade of the attribute information to obtain the typesetting characteristic.
In one embodiment, the level setting subunit includes:
the weight obtaining module is used for obtaining the preset typesetting weight of each attribute information;
and the operation module is used for performing operation processing on the preset typesetting weight and the statistical data to obtain the typesetting grade.
Correspondingly, the embodiment of the application also provides an electronic device, which comprises a memory and a processor; the memory stores a computer program, and the processor is configured to run the computer program in the memory to execute the content typesetting method provided by any embodiment of the application.
Accordingly, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the content typesetting method provided in any embodiment of the present application.
The method and the device for obtaining the medical classified media content can obtain the medical classified media content and the preset typesetting logic of the medical classified media content; and performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content. By the content typesetting method provided by the embodiment of the application, the diagnosis efficiency can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic view of a scene of a content typesetting method provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of a content typesetting method provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of another scenario of a content layout method according to an embodiment of the present application;
FIG. 4 is a schematic flowchart of a content layout method according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a content typesetting apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, however, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments of the present application. 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 application.
The embodiment of the application provides a content typesetting method, which can be executed by a content typesetting device, and the content typesetting device can be integrated in electronic equipment. The electronic device may include at least one of a terminal and a server. That is, the content layout method may be executed by the terminal or the server.
Wherein, the terminal can comprise a smart television, a smart phone, a smart home, a wearable electronic device, a VR/AR product, an on-board computer, a smart computer, and the like.
The server may be an interworking server among a plurality of heterogeneous systems or a background server of a product verification test system, may be an independent physical server, may also be a server cluster or distributed system formed by a plurality of physical servers, and may also be a cloud server providing basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, network service, cloud communication, middleware service, domain name service, security service, big data, an artificial intelligence platform, and the like.
In an embodiment, as shown in fig. 1, the content composition apparatus may be integrated on an electronic device such as a terminal or a server to implement the content composition method provided in the embodiment of the present application. Specifically, the electronic device may obtain medical classification media content and preset typesetting logic of the medical classification media content; and performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content.
The following are detailed below, and it should be noted that the order of description of the following examples is not intended to limit the preferred order of the examples.
The embodiment of the present application will be described from the perspective of a content composition apparatus, which may be integrated in an electronic device, where the electronic device may include a terminal, and may further include a server, and the like.
As shown in fig. 2, a content typesetting method is provided, and the specific process includes:
101. and acquiring the medical classified media content and preset typesetting logic of the medical classified media content.
The media content may include one or more of images, videos, text reports, instructions, and the like.
Wherein the medical classification media content may include content classifying medical information. For example, the medical classification content may include diagnostic information, wherein the diagnostic information may be one or more of an image, a video, a textual report, instructions, and the like. Here, when the diagnostic information is an image, it may be a different kind of image of a combination map, an enlarged view, a partial view map, or the like.
When the diagnostic information is an image, the image may include a Computed Tomography (CT) image, a magnetic resonance examination (MR) image, an ultrasound image, and the like.
In one embodiment, there are a number of ways in which the medically classified media content may be obtained. For example, a human body tissue structure may be scanned with a scanning device to obtain a diagnostic image. As another example, the medically categorized media content may be obtained from a database, and so forth.
The preset typesetting logic may include preset logic to be followed when typesetting the medical classified media content. For example, the preset typesetting logic may be a typesetting rule composed of information such as an image-text sequence, an image-text size, an image-text position, and the like.
In an embodiment, different doctors have different typesetting habits on the diagnostic information, so that when the medical classification media content and the preset typesetting logic of the medical classification media content are obtained, the medical classification media content can be identified to obtain the object identifier of the medical classification media content. Then, a preset typesetting logic for the medically classified media content may be determined based on the object identification. Specifically, the step of obtaining the medical classification media content and the preset typesetting logic of the medical classification media content may include:
identifying the medical classified media content to obtain an object identifier of the medical classified media content;
and determining preset typesetting logic of the medical classified media content based on the object identification.
Wherein the object identification may include information identifying an object to which the medically classified media content corresponds. Through the object identification, the object corresponding to the medical classified media content can be distinguished.
In an embodiment, after obtaining the object identifier of the medically classified media content, the preset typesetting logic of the medically classified media content may be determined based on the object identifier.
There are various ways to determine the preset typesetting logic of the medical classified media content. For example, the object identifier may be matched with an identifier corresponding to a preset typesetting logic, and the preset typesetting logic of the medical classified content may be determined according to a matching result. As another example, an artificial intelligence algorithm may also be utilized to determine the preset typesetting logic for the medically classified media content based on the object identifications, and so on.
In one embodiment, the medical classified media content and the preset typesetting logic of the medical classified media content can be obtained by utilizing a human intelligent algorithm. Specifically, the step of obtaining the medical classification media content and the preset typesetting logic of the medical classification media content may include:
and acquiring the medical classified media content and the preset typesetting logic of the medical classified media content by using the preset typesetting model.
The preset typesetting model can comprise preset logic which can realize typesetting of the medical classified media content. The preset typesetting model has corresponding typesetting logics of different doctors or different departments, so the preset typesetting model can obtain the medical classified media content and the preset typesetting logics of the medical classified media content by utilizing the preset typesetting model.
In one embodiment, the preset layout model may be a deep learning model and a machine learning model. The preset layout model may include any one of Convolutional Neural Networks (CNN), deconvolution neural networks (De-convolutional networks, DN), Deep Neural Networks (DNN), deep convolutional inverse networks (DCIGN), Region-based convolutional networks (RCNN), Region-based fast convolutional networks (fast-base convolutional networks, fastforward) and bidirectional decoding (BERT) models, and the like.
In an embodiment, the number of media contents obtained from the medical classification is not limited in the embodiment of the present application. For example, a medically categorized media content may be obtained. As another example, a plurality of medically categorized media content may be obtained.
102. And performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content.
In an embodiment, after the preset composition logic is obtained, composition processing may be performed on the medical classified media content based on the preset composition logic, so as to obtain the composed medical classified media content.
In an embodiment, the layout logic may be analyzed to obtain content layout sequence information and content layout position information. Then, the medical classified media content is subjected to typesetting processing based on the content typesetting sequence information and the content typesetting position information, and the typesetting medical classified media content is obtained. Specifically, the step of performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content may include:
analyzing the typesetting logic to obtain content typesetting sequence information and content typesetting position information;
based on the content typesetting sequence information, performing sequence adjustment processing on the medical classified media content to obtain medical classified media content after the sequence adjustment;
and based on the content typesetting position information, performing position adjustment processing on the medical classified media content after the sequence adjustment to obtain the typesetted medical classified media content.
Wherein the content layout order information includes information indicating how to sort the medically classified media content. For example, the content layout order information may include medical classified media content of type a being arranged in front of medical classified media content of type B. For example, as shown in fig. 3, the content layout order information may include arranging the diagnostic image 001 of non-calcification ahead of the diagnostic image 002 of calcification.
Wherein the content layout position information includes information indicating how the positions of the medically classified media content are placed. For example, as shown in fig. 3, there are a plurality of non-calcified diagnostic images 003, 004 and 005, and the content layout device can determine the layout positions of these several non-calcified diagnostic images by content provision position information.
In an embodiment, the content layout order information and the content layout position information may be obtained by traversing the layout logic.
In an embodiment, the medical classified media content may be sequentially adjusted based on the content layout sequence information, so as to obtain the sequentially adjusted medical classified media content. There are various ways to perform the sequence adjustment processing on the medical classified media content to obtain the medical classified media content after the sequence adjustment. For example, the order parameter of each medically classified media content may be altered, and adjustments to the order of medically classified media content may be implemented.
In an embodiment, based on the content layout position information, the position of the sequentially adjusted medical classified media content may be adjusted to obtain the laid-out medical classified media content. For example, the position parameters of the medical classified media content after the sequence adjustment may be adjusted, so as to obtain the typeset medical classified media content.
In an embodiment, when the content composition device analyzes the composition logic to obtain only the content composition order information, the medical classified media content may be sequentially adjusted based on only the content composition order information to obtain the composed medical classified media content.
In an embodiment, when the content composition device analyzes the composition logic to obtain only the content composition position information, the position adjustment processing may be performed on the medical classified media content based only on the content composition sequence information to obtain the composed medical classified media content.
In an embodiment, the content typesetting method provided by the embodiment of the present application may further perform operation processing on the medical classified media content. Specifically, the content typesetting method provided by the embodiment of the present application may further include:
acquiring preset operation logic of medical classified media content;
and performing operation processing on the medical classified media content based on the preset operation logic to obtain the operated medical classified media content.
Wherein the manipulation process may include a manipulation that medically classifies the modality of the media content. For example, the manipulation process may include operations to zoom in, zoom out, identify, highlight, color prompt, image enhance, and hide out-of-focus graphics, etc., on the medically classified media content.
The preset operation logic comprises preset logic which can realize the operation of the medical classified media content. Through the preset operation logic, the content typesetting equipment can simulate the operation of doctors on the medical classified media content, so that the obtained classified media content after the operation accords with the operation habit of the doctors.
For example, the preset operation logic provides for performing an enlargement process on the diagnostic information of type a and an identification process on the diagnostic information of type B. When the content layout device identifies the diagnosis information of type A, the diagnosis information is amplified. And when the content typesetting device identifies the diagnosis information with the type B, the diagnosis information is identified.
In an embodiment, an artificial intelligence technology may also be adopted to perform typesetting processing on the medical classified media content based on the preset typesetting logic, so as to obtain the typesetted medical classified media content. Specifically, the step of performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content may include:
and performing typesetting processing on the medical classified media content by using a preset typesetting model based on a preset typesetting logic to obtain the typesetted medical classified media content.
In an embodiment, before the content typesetting method provided by the embodiment of the present application is executed by using the preset typesetting model, the typesetting model to be trained may be initialized, and the typesetting model to be trained may be trained to obtain the preset typesetting model. Specifically, before the step of obtaining the medical classified media content and the preset composition logic of the medical classified media content by using the preset composition model, "the method may include:
acquiring medical classified media content samples and a typesetting model to be trained;
performing feature generation processing on the medical classified media content sample to obtain the typesetting features of the medical classified media content sample;
and training the typesetting model to be trained by using the typesetting characteristics to obtain a preset typesetting model.
The typesetting model to be trained can comprise a model which has performance which does not meet the requirement and still needs to be trained.
The medical classification media content sample can include training data required for training the typesetting model to be trained.
The typesetting characteristics comprise rules or characteristics which can explain the medical classification media content classified by doctors.
In an embodiment, after obtaining the medical classified media content sample, the medical classified media content sample may be subjected to feature generation processing to obtain a typesetting feature of the medical classified media content sample. Specifically, the step of performing feature generation processing on the medical classified media content sample to obtain the typesetting features of the medical classified media content sample may include:
acquiring at least one attribute information of a medical classified media content sample;
performing statistical processing on at least one attribute information to obtain statistical data of each attribute information;
performing level setting processing on each attribute information based on the statistical data to obtain the typesetting level of each attribute information;
and integrating the attribute information and the typesetting grade of the attribute information to obtain the typesetting characteristic.
The attribute information may include information that may embody a typesetting rule of the medically classified media content. For example, the attribute information may include the appearance time, frequency, size (when a certain image/text information is viewed, the size of the image/text report), related information (which images, text and other information are also viewed when a certain diagnostic information is viewed within the same time), complexity (interference degree, which can be manually set), lesion severity, and the like of the diagnostic information.
Wherein the layout level may include information indicating the degree of importance of the attribute information. Wherein, the more important the attribute information, the higher the typesetting level.
In an embodiment, after obtaining the at least one attribute information of the medically classified media content, the at least one attribute information may be subjected to statistical processing to obtain statistical data of each attribute information. For example, the content layout device may count the time, frequency, size (size of the image/text report when a certain image/text information is viewed), related information (which images, text and other information are also viewed when a certain diagnostic information is viewed within the same time), complexity (interference degree, which can be manually set), lesion severity and other attribute information of each item of diagnostic information, thereby obtaining statistical data of each item of attribute information.
The content typesetting device can know when the medical classified media content appears, how many times and frequency the medical classified media content appears, which images and characters can be associated with, and the like by obtaining the statistical data of each attribute information, thereby obtaining the typesetting habit of doctors on the medical classified media content.
In an embodiment, after obtaining the statistical data of each of the attribute information, the content layout apparatus may perform a level setting process on each of the attribute information based on the statistical data, thereby obtaining a layout level of each of the attribute information. Specifically, the step of performing level setting processing on each attribute information based on the statistical data to obtain the layout level of each attribute information may include:
acquiring preset typesetting weight of each attribute information;
and carrying out operation processing on the preset typesetting weight and the statistical data to obtain the typesetting grade.
The preset typesetting weight may be a typesetting weight preset by a physician for each attribute information. For example, the time of occurrence, frequency, number of occurrences, and severity of lesions may correspond to a typesetting weight of 5, while the severity of associated information, size, and complexity may be 3, and so on.
In an embodiment, after the preset layout weight of each attribute information is obtained, the preset layout weight and the statistical data may be subjected to operation processing to obtain a layout grade.
There are various ways to perform arithmetic processing on the preset layout weight and the statistical data to obtain the layout grade. For example, the preset layout weight may be multiplied by the statistical data to obtain the layout level. For another example, the preset layout weight and the statistical data may be added to obtain the layout level, and the like.
In an embodiment, after obtaining the layout level of each attribute information, the content layout device may perform integration processing on the layout levels of the attribute information and the attribute information to obtain the layout characteristics. For example, the upper layout rank may be added to the attribute information to obtain the layout characteristics. For another example, the same mark may be added to the attribute information and the layout level of the attribute information, thereby obtaining the layout characteristics.
In an embodiment, after obtaining the layout features, the layout model to be trained may be trained by using the layout features, so as to obtain the preset layout model. For example, the medically classified media content samples and the layout features may be input into a layout model to be trained. Then, the typesetting model to be trained generates typesetting logic based on the typesetting characteristics, and the medical classified media content sample is subjected to typesetting processing by using the typesetting logic to obtain the typesetted medical classified media content sample. Then, loss information between the preset medical classified media content label and the typeset medical classified media content sample can be calculated, and parameter adjustment is carried out on the preset typesetting model based on the loss information. And continuously repeating the process to obtain the preset typesetting model meeting the performance requirement.
The content typesetting method provided by the embodiment of the application can acquire medical classified media content and preset typesetting logic of the medical classified media content; and performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content. By the content typesetting method provided by the embodiment of the application, the medical classified media content can be typeset according to the habit of a doctor, so that the doctor does not need to adjust the typeset medical classified media content after obtaining the typeset medical classified media content, the time for the doctor to typeset the medical classified media content is saved, and the efficiency for typesetting the medical classified media content is improved.
The method described in the above examples is further illustrated in detail below by way of example.
The method of the embodiment of the present application will be described by taking an example in which the image processing method is integrated on an electronic device. For example, as shown in fig. 4, a content typesetting method provided by the embodiment of the present application may include:
201. the electronic equipment acquires the medical classified media content and preset typesetting logic of the medical classified media content.
In the embodiment of the application, the electronic equipment can utilize the deep learning neural network to take the checking sequence of the diagnosis information in the previous diagnosis process of a doctor as input, and form a typesetting model through multiple times of training; and automatically typesetting the acquired diagnosis information by using the typesetting model, thereby realizing automatic typesetting aiming at the diagnosis habit of doctors or the diagnosis process of specific focuses. The embodiment of the application can greatly save diagnosis time and provide diagnosis accuracy.
The construction steps of the typesetting model can be as follows:
(1) a priority value (layout level) is set for each item of diagnostic information. Specifically, the time, the frequency, the size (the size of the image/text report when a certain image/text information is viewed), the related information (which images, texts and other information are also viewed when a certain AI diagnostic information is viewed within the same time), the complexity (the interference degree, which can be manually set), the focus severity and other attribute information of the AI diagnostic information can be counted, and the layout level of each attribute information can be generated based on the statistical data. Then, the layout characteristics may be generated based on the attribute information and the layout levels of the attribute information.
(2) Each item of diagnostic information and the typesetting characteristics corresponding to the diagnostic information can be used as model input, and artificial intelligence models such as deep learning neural networks or machine learning (such as regression models) are utilized to carry out multiple training to obtain the typesetting model.
The diagnosis information mentioned in the embodiment of the present application may be independent image, video or text information; multiple images, videos, or textual information may also be included. Wherein the image may be: different kinds of images of combination drawings, enlarged views, partial views, etc.
In the embodiment of the present application, the tissue image may be diagnostic information of different scan types, different positions, or different post-processing. But also diagnostic information of different lesions, organs and the like, and the like.
In one embodiment, the electronic device may obtain the medical classification media content and the preset composition logic of the medical classification media content by using a composition model.
202. The electronic equipment carries out typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content.
In an embodiment, the electronic device may perform typesetting processing on the medical classified media content by using a preset typesetting logic in a preset typesetting model, so as to obtain the typesetted medical classified media content.
The mode of sequencing the diagnostic information by the typesetting model can be highlight, color prompt, hidden careless graphics and texts, and the like. For example, in sorting, the edges of the images are color-marked by using different color frames as the viewing prompts for the physician to look at.
In addition, the electronic device can prompt a physician whether to view a diagnosis in an automatic sorting manner after automatically sorting the images. If yes, diagnosing according to the automatically sequenced AI diagnosis information; if not, the doctor can manually adjust the image-text typesetting, or further add or delete the image-text typesetting on the basis of the automatically typesetting information.
The content typesetting method provided by the embodiment of the application can be suitable for a plurality of different application scenes.
For example, a patient scans the liver with a CT machine to obtain a plurality of image sequences. And diagnosing the liver focus in the image by using an AI auxiliary diagnosis system to obtain image-text information of AI diagnosis. The AI diagnostic information may include, among other things: a liver scanning image and a text report marked with a plurality of lesion areas; the method can also comprise the following steps: and performing image post-processing according to the AI diagnostic image. By utilizing the typesetting model provided by the embodiment of the application, various post-processing images can be intelligently sequenced.
For another example, a patient scans the heart with a magnetic resonance apparatus to obtain a plurality of images of coronary vessels of the heart. Diagnosing the focus by using an AI auxiliary diagnosis system; obtaining the focus images of vascular calcification, hemorrhage, aneurysm and the like. By using the typesetting model provided by the embodiment of the application, images related to vascular calcification can be sequenced according to a sequencing rule. Or, according to the ordering rule, displaying a macro display diagram or a micro display diagram group, and the like.
In the content typesetting method provided by the embodiment of the application, the electronic equipment can acquire medical classified media content and preset typesetting logic of the medical classified media content; based on the preset typesetting logic, the electronic equipment typesets the medical classified media content to obtain the typesetted medical classified media content. By the content typesetting method provided by the embodiment of the application, the electronic equipment can typeset the medical classified media content according to the habit of the doctor, so that the doctor does not need to adjust the typeset medical classified media content after obtaining the typeset medical classified media content, the time for the doctor to typeset the medical classified media content is saved, and the typesetting efficiency of the medical classified media content is improved.
In order to better implement the content typesetting method provided by the embodiment of the application, in an embodiment, a content typesetting device is further provided, and the content typesetting device can be integrated in an electronic device. The meaning of the noun is the same as that in the content typesetting method, and specific implementation details can refer to the description in the method embodiment.
In an embodiment, a content composition apparatus is provided, which may be specifically integrated in an electronic device, such as a smart home, and the like, as shown in fig. 5, the content composition apparatus includes: the obtaining unit 301 and the typesetting unit 302 are specifically as follows:
an obtaining unit 301, configured to obtain medical classified media content and preset typesetting logic of the medical classified media content;
a typesetting unit 302, configured to perform typesetting processing on the medical classified media content based on the preset typesetting logic, so as to obtain the typesetted medical classified media content.
In an embodiment, the typesetting unit 302 includes:
the analysis subunit is used for analyzing the typesetting logic to obtain content typesetting sequence information and content typesetting position information;
a sequence adjustment subunit, configured to perform sequence adjustment processing on the medical classified media content based on the content typesetting sequence information, so as to obtain medical classified media content after sequence adjustment;
and the position adjusting subunit is used for carrying out position adjustment processing on the sequentially adjusted medical classified media content based on the content typesetting position information to obtain the typesetted medical classified media content.
In an embodiment, the content composition apparatus further includes:
the logic acquisition unit is used for acquiring preset operation logic of the medical classified media content;
and the operation unit is used for carrying out operation processing on the medical classified media content based on the preset operation logic to obtain the medical classified media content after operation.
In an embodiment, the obtaining unit 301 includes:
the identification subunit is used for identifying the medical classified media content to obtain an object identifier of the medical classified media content;
and the determining subunit is used for determining the preset typesetting logic of the medical classified media content based on the object identification.
In an embodiment, the content composition apparatus further includes:
a model obtaining unit, configured to obtain medical classified media content and preset composition logic of the medical classified media content by using a preset composition model;
and the model typesetting unit is used for performing typesetting processing on the medical classified media content by utilizing a preset typesetting model based on the preset typesetting logic to obtain the typesetted medical classified media content.
In an embodiment, the content composition apparatus further includes:
the system comprises a sample obtaining unit, a data processing unit and a data processing unit, wherein the sample obtaining unit is used for obtaining medical classified media content samples and typesetting models to be trained;
the characteristic generating unit is used for carrying out characteristic generating processing on the medical classified media content sample to obtain the typesetting characteristics of the medical classified media content sample;
and the training unit is used for training the typesetting model to be trained by utilizing the typesetting characteristics to obtain the preset typesetting model.
In an embodiment, the feature generation unit includes:
the attribute obtaining subunit is used for obtaining at least one attribute information of the medical classified media content sample;
the statistical subunit is used for performing statistical processing on the at least one attribute information to obtain statistical data of each attribute information;
the level setting subunit is used for carrying out level setting processing on each attribute information based on the statistical data to obtain the typesetting level of each attribute information;
and the integration subunit is used for integrating the attribute information and the typesetting grade of the attribute information to obtain the typesetting characteristic.
In one embodiment, the level setting subunit includes:
the weight obtaining module is used for obtaining the preset typesetting weight of each attribute information;
and the operation module is used for performing operation processing on the preset typesetting weight and the statistical data to obtain the typesetting grade.
In a specific implementation, the above units may be implemented as independent entities, or may be combined arbitrarily to be implemented as the same or several entities, and the specific implementation of the above units may refer to the foregoing method embodiments, which are not described herein again.
The content typesetting device can improve the efficiency of typesetting the medical classified media content.
The embodiment of the present application further provides an electronic device, where the electronic device may include a terminal or a server, for example, the electronic device may be a content composition terminal, and the content composition terminal may be a smart television or the like; also for example, the computer product may be a server, such as a content composition server. As shown in fig. 6, it shows a schematic structural diagram of a terminal according to an embodiment of the present application, specifically:
the electronic device may include components such as a processor 401 of one or more processing cores, memory 402 of one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 6 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 401 is a control center of the electronic device, connects various parts of the whole electronic device by various interfaces and lines, performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 402 and calling data stored in the memory 402, thereby performing overall monitoring of the electronic device. Optionally, processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly handles operating systems, user pages, application programs, and the like, and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 401.
The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by operating the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the computer product, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 access to the memory 402.
The electronic device further comprises a power supply 403 for supplying power to the various components, and preferably, the power supply 403 is logically connected to the processor 401 through a power management system, so that functions of managing charging, discharging, and power consumption are realized through the power management system. The power supply 403 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The electronic device may further include an input unit 404, and the input unit 404 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the electronic device may further include a composition unit, etc., which will not be described herein. Specifically, in this embodiment, the processor 401 in the electronic device loads the executable file corresponding to the process of one or more application programs into the memory 402 according to the following instructions, and the processor 401 runs the application program stored in the memory 402, thereby implementing various functions as follows:
acquiring medical classified media content and preset typesetting logic of the medical classified media content;
and performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
According to an aspect of the application, a computer program product or computer program is provided, comprising computer instructions, the computer instructions being stored in a computer readable storage medium. The processor of the computer product reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer product executes the method provided in the various alternative implementations of the above embodiments.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by a computer program, which may be stored in a computer-readable storage medium and loaded and executed by a processor, or by related hardware controlled by the computer program.
To this end, an embodiment of the present application further provides a storage medium, in which a computer program is stored, where the computer program can be loaded by a processor to execute the steps in any content typesetting method provided in the embodiment of the present application. For example, the computer program may perform the steps of:
acquiring medical classified media content and preset typesetting logic of the medical classified media content;
and performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content.
The above operations can be implemented in the foregoing embodiments, and are not described in detail herein.
Since the computer program stored in the storage medium can execute the steps in any content typesetting method provided by the embodiment of the present application, the beneficial effects that can be realized by any content typesetting method provided by the embodiment of the present application can be realized, which are detailed in the foregoing embodiments and will not be described herein again.
The content typesetting method, the content typesetting device, the electronic equipment and the storage medium provided by the embodiment of the application are introduced in detail, a specific example is applied in the description to explain the principle and the implementation of the application, and the description of the embodiment is only used for helping to understand the method and the core idea of the application; meanwhile, for those skilled in the art, according to the idea of the present application, 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 application.
Claims (11)
1. A content layout method, comprising:
acquiring medical classified media content and preset typesetting logic of the medical classified media content;
and performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content.
2. The method of claim 1, wherein the typesetting the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content comprises:
analyzing the typesetting logic to obtain content typesetting sequence information and content typesetting position information;
based on the content typesetting sequence information, performing sequence adjustment processing on the medical classified media content to obtain medical classified media content after the sequence adjustment;
and based on the content typesetting position information, performing position adjustment processing on the medical classified media content after the sequence adjustment to obtain the typesetted medical classified media content.
3. The method of claim 1, wherein the method further comprises:
acquiring preset operation logic of the medical classified media content;
and performing operation processing on the medical classified media content based on the preset operation logic to obtain the operated medical classified media content.
4. The method of claim 1, wherein the obtaining the medically classified media content and the preset composition logic of the medically classified media content comprises:
identifying the medical classified media content to obtain an object identifier of the medical classified media content;
and determining preset typesetting logic of the medical classified media content based on the object identification.
5. The method of claim 1, wherein the obtaining the medically classified media content and the preset composition logic of the medically classified media content comprises:
acquiring medical classified media content and preset typesetting logic of the medical classified media content by using a preset typesetting model;
the typesetting processing is carried out on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content, and the method comprises the following steps:
and performing typesetting processing on the medical classified media content by using a preset typesetting model based on the preset typesetting logic to obtain the typesetted medical classified media content.
6. The method of claim 5, wherein the obtaining the medical classified media content and the preset composition logic of the medical classified media content using the preset composition model is preceded by:
acquiring medical classified media content samples and a typesetting model to be trained;
performing feature generation processing on the medical classified media content sample to obtain the typesetting features of the medical classified media content sample;
and training the typesetting model to be trained by using the typesetting characteristics to obtain the preset typesetting model.
7. The method of claim 6, wherein the performing the feature generation process on the medically classified media content sample to obtain the typesetting features of the medically classified media content sample comprises:
obtaining at least one attribute information of the medically classified media content sample;
performing statistical processing on the at least one attribute information to obtain statistical data of each attribute information;
performing level setting processing on each attribute information based on the statistical data to obtain the typesetting level of each attribute information;
and integrating the attribute information and the typesetting grade of the attribute information to obtain the typesetting characteristic.
8. The method of claim 7, wherein performing a ranking setting process on each attribute information based on the statistical data to obtain a layout ranking of each attribute information comprises:
acquiring preset typesetting weight of each attribute information;
and carrying out operation processing on the preset typesetting weight and the statistical data to obtain the typesetting grade.
9. A content composing apparatus, comprising:
the system comprises an acquisition unit, a display unit and a display unit, wherein the acquisition unit is used for acquiring medical classified media content and preset typesetting logic of the medical classified media content;
and the typesetting unit is used for performing typesetting processing on the medical classified media content based on the preset typesetting logic to obtain the typesetted medical classified media content.
10. An electronic device comprising a memory and a processor; the memory stores a computer program, and the processor is configured to execute the computer program in the memory to execute the content typesetting method according to any one of claims 1 to 8.
11. A computer-readable storage medium storing a plurality of computer programs adapted to be loaded by a processor to execute the content layout method according to any one of claims 1 to 8.
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