CN109635154B - Method for automatically generating Internet image-text manuscript based on manuscript and news program - Google Patents
Method for automatically generating Internet image-text manuscript based on manuscript and news program Download PDFInfo
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Abstract
The invention discloses a method for automatically generating an internet image-text manuscript based on a manuscript and a news program, which relates to the technical field of broadcasting and television media, and comprises the following steps of S1, extracting manuscript contents: reading the content of the news manuscript, extracting the content required by each module of the internet picture and text manuscript to be generated in the manuscript and writing the content into the corresponding position in the picture and text manuscript template; s2, calculating a video segment corresponding to the manuscript: according to the document segmentation condition, combining with the program video, calculating a video segment corresponding to each document segment; s3, selecting video materials: selecting a key frame or a key frame sequence from each video segment to be processed as a corresponding manuscript segment video material to be inserted into the manuscript; s4, generating the Internet image-text manuscript, wherein the Internet image-text manuscript can be quickly generated by using the program manuscript and the program video, so that the complex processes of selecting, checking and copying the manuscript and the video by workers are avoided, and the production efficiency is greatly improved.
Description
Technical Field
The invention relates to the technical field of radio and television media, in particular to a method for automatically generating an internet image-text manuscript based on a manuscript and a news program.
Background
With the advance of the convergence media, television stations also pay more and more attention to content distribution of internet channels to achieve better propagation effect, so that when news programs are made, internet image-text manuscripts are often made at the same time.
The existing internet image-text manuscript manufacturing method is mainly carried out manually, and specifically comprises the following steps: the method comprises the steps of firstly selecting a manuscript template in an internet manuscript module, copying manuscript contents to the positions of a guide word and a text of the template, or re-creating and editing the guide word and the text, browsing video contents, and selecting a video picture screenshot as a manuscript illustration according to the text contents to finish the manufacture of the internet image-text manuscript.
The manuscript comes from a manuscript system, is an important link (equivalent to news synopsis + detailed content) for making news programs, and determines how to make and express the news, what content needs to be played every second of the news in a few minutes, which departments need to cooperate, what content needs to be cut when cutting, whether a interview picture exists, whether dubbing is needed, whether subtitles are needed, what content needs to be spoken by a host during live broadcasting and the like.
Disclosure of Invention
The invention aims to: in order to solve the problems that the existing Internet image-text manuscripts are complex to manufacture, consume a large amount of labor and time cost and are low in efficiency, the invention provides the method for automatically generating the Internet image-text manuscripts based on the manuscript and the news program, the Internet image-text manuscripts can be quickly generated by using the program manuscript and the program video, the complex processes of selecting, checking and copying the manuscript and the video by workers are avoided, and the production efficiency is greatly improved.
The invention specifically adopts the following technical scheme for realizing the purpose:
a method for automatically generating Internet image-text manuscripts based on manuscript and news programs is characterized by comprising the following steps:
s1, extracting manuscript contents: reading news manuscript content, extracting contents required by each module of an internet image-text manuscript to be generated in the manuscript and writing the contents into corresponding positions in an image-text manuscript template;
s2, calculating a video segment corresponding to the manuscript: according to the manuscript segmentation condition, combining the program videos, and calculating a video segment corresponding to each manuscript segment;
s3, selecting video materials: selecting a key frame or a key frame sequence from each video segment and processing the key frame or the key frame sequence as a corresponding manuscript segment video material to be inserted into the manuscript;
and S4, generating an internet image-text manuscript.
Furthermore, in the step S1, the manuscript content is identified and selected according to the identifier corresponding to the content required by each module of the internet image-text manuscript to be generated.
Further, the method for calculating the video segment corresponding to the manuscript in S2 includes, but is not limited to, intelligent recognition technologies such as speech recognition, machine vision, and the like.
Further, in S2, calculating a video segment corresponding to each document segment specifically includes:
s2.1: converting the voice in the video into characters by utilizing a voice recognition technology;
s2.2: matching characters obtained by voice recognition and conversion in S2.1 by using the manuscript segment;
s2.3: and when the similarity of the text segment and a certain segment of characters reaches a set threshold value, positioning the first frame and the last frame of the video segment matched with the segment of characters.
Further, the step S3 of selecting video materials specifically includes: and selecting one or more frames of materials from the video segment matched with the characters in the S2.3, and then using the processed materials as the video materials of the corresponding manuscript segment.
Further, the types of video material include, but are not limited to: pictures, multiple-subtitle splicing screenshots, short videos, GIFs, and the like.
Furthermore, in the S3, a "material priority" or a "document priority" mode is adopted when the video material is inserted into the document, where the "material priority" is that when the video material is inserted, the position where the video material is inserted is in front of the corresponding document segment; "text-first" is the position where the video material is inserted when the video material is inserted, behind the corresponding document segment.
Further, after the internet image-text manuscript is generated in the step S4, the internet image-text manuscript can be used for previewing and editing, and then the edited final internet image-text manuscript is published on the internet after being audited.
The invention has the following beneficial effects:
1. the invention automatically extracts the video picture corresponding to the manuscript segment by utilizing the characteristic of strong correlation between the manuscript content and the program video, realizes the automatic generation of the internet image-text manuscript by copying the manuscript and matching the manuscript segment with the video picture, can preview and edit, not only releases human resources from complicated operation, but also greatly improves the production efficiency.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention.
Fig. 2 is a schematic diagram of a news manuscript of the present invention.
Fig. 3 is a schematic diagram of extracting document contents according to the present invention.
Fig. 4 is a schematic diagram of the correspondence between the manuscript segment and the video segment according to the present invention.
Fig. 5 is an internet teletext script generated by the method of the invention.
Detailed Description
For a better understanding of the present invention by those skilled in the art, the present invention will be described in further detail below with reference to the accompanying drawings and the following examples.
Example 1
As shown in fig. 1, the present embodiment provides a method for automatically generating an internet teletext manuscript based on a manuscript and a news program, which includes the following steps:
s1, extracting manuscript contents: reading the content of the news manuscript shown in fig. 2, extracting the content required by each module of the internet image-text manuscript to be generated in the manuscript and writing the content into the corresponding position in the image-text manuscript template, which specifically comprises the following steps:
in news program production, a document is a formatted content generated by a document system, and the types of information in the document are many, for example: the guide, dubbing, text, synchronous voice, broadcast, etc. are usually configured according to news content, and the title, guide and text are the main body of a news, so as shown in fig. 3, the embodiment only extracts the three information when generating an internet text and text manuscript;
the method comprises the steps that an image-text manuscript template is obtained from an Internet production system, the structure composition of the Internet image-text manuscript is similar to that of the manuscript, the difference between the image-text manuscript template and the Internet image-text manuscript template is that the modes displayed by all modules are different, and the text part of the image-text manuscript supports the insertion of video materials, when a news title, a guide word and a text are identified and selected according to identifiers corresponding to the news title, the guide word and the text, the title, the guide word and the text are written into corresponding positions of the image-text manuscript template, and the synchronous sound description information such as interview content and the like can be filtered out, so that the main body text content of the Internet image-text manuscript is coherent, and the image-text manuscript template can be replaced according to the content after the image-text is automatically generated;
s2, calculating a video segment corresponding to the manuscript: as shown in fig. 4, according to the document segmentation condition, the video segment corresponding to each document segment is calculated by combining with the program video, and the adopted method includes but is not limited to intelligent recognition technologies such as speech recognition and machine vision, and specifically includes:
s2.1: converting voice in the video into characters by utilizing a voice recognition technology;
s2.2: matching characters obtained by voice recognition and conversion in S2.1 by using the manuscript segment;
s2.3: when the similarity between the text segment and a certain segment of characters reaches a set threshold value, positioning a first frame and a last frame of a video segment matched with the segment of characters;
s3, selecting video materials: selecting a key frame or a key frame sequence from each video segment, processing the key frame or the key frame sequence to be used as a video material of a corresponding manuscript segment, and inserting the video material into a manuscript, specifically, processing one or more frames of materials selected from the video segments matched with the characters in S2.3 to be used as the video material of the corresponding manuscript segment; the types of video material in this embodiment include, but are not limited to: pictures, multiple subtitle splicing screenshots, short videos, GIFs and the like; the method for processing one or more frames of materials can be realized by utilizing a plug-in or intelligent processing method to generate pictures, short videos, GIFs and the like, or form video materials by adopting the forms of manual screenshot, clipping, editing and the like, and the existing processing means can be adopted aiming at different types of materials;
when the video material is inserted into the manuscript, the modes of 'material priority' or 'text priority' and the like are adopted, wherein the 'material priority' is that when the video material is inserted, the position where the video material is inserted is in front of the corresponding manuscript segment; "text-first" is when inserting video material, the position of inserting video material is behind the corresponding manuscript segment
And S4, generating the Internet image-text manuscript shown in the figure 5, and directly auditing and issuing the Internet image-text manuscript on the Internet, or after generating the Internet image-text manuscript, modifying, processing and beautifying the Internet image-text manuscript through preview and editing, and then auditing and issuing the Internet.
In S2 of this embodiment, each document segment and the corresponding video segment have strong association, and the video segments in the news program are very representative, and in principle, any one picture or any one continuous picture in the video segments corresponding to the text can be used as an illustration and a short video, so that the calculation methods for calculating the video segments corresponding to the documents and selecting the video material are various, including but not limited to using intelligent technologies such as voice recognition and machine vision to find an approximate or accurate matching relationship between the documents and the pictures, and then capture the video material as needed.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention, the scope of the present invention is defined by the appended claims, and all structural changes that can be made by using the contents of the description and the drawings of the present invention are intended to be embraced therein.
Claims (7)
1. A method for automatically generating Internet image-text manuscripts based on manuscripts and news programs is characterized by comprising the following steps:
s1, extracting manuscript contents: reading the content of the news manuscript, extracting the content required by each module of the internet picture and text manuscript to be generated in the manuscript and writing the content into the corresponding position in the picture and text manuscript template;
s2, calculating a video segment corresponding to the manuscript: according to the document segmentation condition, combining with the program video, calculating a video segment corresponding to each document segment;
s3, selecting video materials: selecting a key frame or a key frame sequence from each video segment to be processed as a corresponding manuscript segment video material to be inserted into the manuscript;
and S4, generating an internet image-text manuscript.
2. The method for automatically generating internet text based on manuscript and news program as claimed in claim 1, wherein in S1, the manuscript content is identified and selected according to the identifier corresponding to the content required by each module of the internet text to be generated.
3. The method of claim 1, wherein the method of calculating the video segment corresponding to the manuscript in S2 comprises voice recognition and machine vision intelligent recognition technology.
4. The method according to claim 3, wherein the step of S2 is to calculate a video segment corresponding to each manuscript segment, and specifically comprises:
s2.1: converting voice in the video into characters by utilizing a voice recognition technology;
s2.2: matching characters obtained by voice recognition and conversion in S2.1 by using the manuscript segment;
s2.3: and when the similarity of the text segment and a certain segment of characters reaches a set threshold value, positioning the first frame and the last frame of the video segment matched with the segment of characters.
5. The method for automatically generating internet teletext manuscripts based on the manuscript and the news program according to claim 4, wherein the step S3 of selecting the video materials specifically comprises the following steps: and selecting one or more frames of materials from the video segment matched with the characters in the S2.3, and then using the processed materials as the video materials of the corresponding manuscript segment.
6. A method for automatically generating internet teletext manuscripts based on text and news programs according to any one of claims 1-5, characterized in that the types of video material include: pictures, multiple subtitle splicing screenshots, short videos, and GIFs.
7. The method for automatically generating the internet image-text manuscript based on the manuscript and the news program according to claim 1, wherein a 'material priority' or 'text priority' mode is adopted when the video material is inserted into the manuscript in the step S3, and the 'material priority' is that when the video material is inserted, the position where the video material is inserted is in front of the corresponding manuscript segment; "text-first" is the position where the video material is inserted when the video material is inserted, behind the corresponding document segment.
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| CN110008374B (en) * | 2019-06-04 | 2019-09-13 | 成都索贝数码科技股份有限公司 | It is a kind of to select edit methods for what race intelligently made |
| CN110324709A (en) * | 2019-07-24 | 2019-10-11 | 新华智云科技有限公司 | A kind of processing method, device, terminal device and storage medium that video generates |
| CN111444685B (en) * | 2020-03-26 | 2023-09-29 | 重庆上游新闻传媒有限公司 | News production system and method based on big data and artificial intelligence |
| CN111741359A (en) * | 2020-05-28 | 2020-10-02 | 杨伟 | Method and system for converting video into PPTX |
| CN111708914A (en) * | 2020-06-11 | 2020-09-25 | 北京百度网讯科技有限公司 | Method, apparatus, electronic device and storage medium for video processing |
| CN116320622B (en) * | 2023-05-17 | 2023-08-18 | 成都索贝数码科技股份有限公司 | Broadcast television news video-to-picture manuscript manufacturing system and manufacturing method |
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