CN106294666A - A kind of method realizing text visualization Dynamic Display - Google Patents
A kind of method realizing text visualization Dynamic Display Download PDFInfo
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- CN106294666A CN106294666A CN201610635083.0A CN201610635083A CN106294666A CN 106294666 A CN106294666 A CN 106294666A CN 201610635083 A CN201610635083 A CN 201610635083A CN 106294666 A CN106294666 A CN 106294666A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/43—Querying
- G06F16/438—Presentation of query results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/48—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
Abstract
A kind of method realizing text visualization Dynamic Display disclosed by the invention, comprises the following steps: step S1, to specifying text to carry out semantic analysis, generates multiple semantic model；Step S2, builds multimedia database；Step S3, by described multimedia database is retrieved the Optimum Matching material finding each semantic model, and is integrated into the Multi-media Material set corresponding with described appointment text by Optimum Matching material corresponding for each semantic model；Step S4, carries out concentration by described Multi-media Material set and represents.The method of the present invention effectively improves the uninteresting property that text describes, and it is shown with the form of more horn of plenty, and the method for the present invention has rational logic and wide variety of prospect.
Description
Technical field
The present invention relates to Multimedia Dynamic display technique field, particularly relate to one and combine at semantic analysis technology, data
Reason technology, Model Matching realize, with display technique, the method that text visualizes Dynamic Display.
Background technology
Along with quickly popularizing of computer technology, the particularly fast development of the Internet, people get used to day by day by electricity
The specially good effect that the multimedia technology of brain obtains vividly, vision and audition combine intuitively is experienced.Multimedia technology refers to by calculating
Machine carries out integrated treatment and management to media information such as text, data, figure, image, animation, sound so that Yong Huke
To be carried out the technology of real-time information interaction by multiple sense organ and computer, it is also called Computer Multimedia Technology.
And in the thousand of years before computer technology is universal, the main carriers of human civilization is text.Nowadays, text envelope
Breath is the most extensively applied, and simply the form of expression is the most dull, and the experience of information content is the most flat, nothing
Method meets the requirement of sense of modern.
As can be seen here, it is a value as how modern multimedia form represents the content of the most ancient text message
The direction must explored and study.To this end, applicant carried out useful exploration and trial, have found and solve doing of the problems referred to above
Method, technical scheme described below produces under this background.
Summary of the invention
It is an object of the invention to provide one and combine semantic analysis technology, data processing technique, Model Matching and displaying
Technology realize text visualization Dynamic Display method, the method based on semantic analysis add to text describe lively,
Specially good effect is experienced intuitively, it is achieved content of text messages and the perfect adaptation of multimedia expression-form.
The technical problem to be solved can adopt the following technical scheme that and realize:
A kind of method realizing text visualization Dynamic Display, comprises the following steps:
Step S1, to specifying text to carry out semantic analysis, generates multiple semantic model；
Step S2, builds multimedia database；
Step S3, by described multimedia database being retrieved the Optimum Matching material finding each semantic model,
And Optimum Matching material corresponding for each semantic model is integrated into the Multi-media Material collection corresponding with described appointment text
Close；
Step S4, carries out concentration by described Multi-media Material set and represents.
In a preferred embodiment of the invention, in described step S1, described appointment text is the literary composition of natural language
This information, according to the voice of natural language or the text message of image conversion, the text message of computer program information or other
One or more combinations in the text message of artificial creation.
In a preferred embodiment of the invention, in described step S1, described semantic analysis refers to one section of text
Information is analyzed drawing a series of semantic primitive according to semanteme in it, and is combined into multiple semantic model according to semantic environment.
In a preferred embodiment of the invention, the implementation of described semantic analysis is for carry out described appointment text
Manual analysis or described appointment text is carried out automated analysis by computer software and hardware.
In a preferred embodiment of the invention, described semantic model is made up of several semantic primitives, described semanteme
Unit is the semantic elementary cell with attribute feature drawn according to grammer, syntax, morphology, semantic environment analysis.
In a preferred embodiment of the invention, the multimedia in described step S2, in described Multimedia Material Bank
One or more combinations that the object of material is categorized as in personage, animal, plant, virtual things, action or scene.
In a preferred embodiment of the invention, the multimedia in described step S2, in described Multimedia Material Bank
The form of expression of material is one or more combinations in text, data, figure, image, animation, threedimensional model or audio.
In a preferred embodiment of the invention, in described step S3, described by described multimedia database
The matching way carrying out retrieving the Optimum Matching material finding each semantic model mates or by computer for manually carrying out
Software and hardware carries out automatization's coupling.
In a preferred embodiment of the invention, in described step S3, described Optimum Matching material, refer to manually
Under match condition, carry out the optimal result selected according to the subjective feeling of people, or carrying out automatically by computer software and hardware
In the case of changing coupling, the screening rule set according to computer program is ranked up, and selects from ranking results
Excellent result.
In a preferred embodiment of the invention, in described step S4, described described Multi-media Material set is entered
Row concentrates the form that represents represented to be by one or more combinations in image, video, audio frequency, animation or three-dimensional modeling.
In a preferred embodiment of the invention, the order of described step S1 and step S2 can be exchanged.
Owing to have employed technical scheme as above, the beneficial effects of the present invention is: the present invention realizes text visualization
Text is analyzed by the method for Dynamic Display according to semanteme, and generates multiple semantic model, and by according to each semantic mould
Type is associated with the matching relationship of the material element in material database, finally integrates relevant material element and realizes lively, directly perceived
Specially good effect experience.The method of the present invention effectively improves the uninteresting property that text describes, and it is shown with the form of more horn of plenty
Coming, the method for the present invention has rational logic and wide variety of prospect.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to
Other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is the flow chart of the method realizing text visualization Dynamic Display of the present invention.
Detailed description of the invention
For the technological means making the present invention realize, creation characteristic, reach purpose and be easy to understand with effect, below knot
Conjunction is specifically illustrating, and the present invention is expanded on further.
Seeing Fig. 1, be given in figure is a kind of method realizing text visualization Dynamic Display of the present invention, including following
Step:
Step S1, to specifying text to carry out semantic analysis, generates multiple semantic model；
Step S2, builds multimedia database；
Step S3, by described multimedia database being retrieved the Optimum Matching material finding each semantic model,
And Optimum Matching material corresponding for each semantic model is integrated into the Multi-media Material collection corresponding with described appointment text
Close；
Step S4, carries out concentration by described Multi-media Material set and represents.
Wherein, the order of described step S1 and step S2 can be exchanged.
First, the following concept in the present invention is explained:
1, specifying text can be the text message of natural language, the text changed according to the voice of natural language or image
One in the text message of information, the text message of computer program information or other artificial creation, it is also possible to be above-mentioned many
Plant the combination of text.
2, semantic analysis refers to be analyzed drawing a series of semantic primitive by one section of text message according to semanteme in it, and
It is combined into multiple semantic model according to semantic environment.The implementation of semantic analysis can be to specifying text to carry out people's work point
Analysis, or by computer software and hardware to specifying text to carry out automated analysis.
3, semantic model is made up of several semantic primitives, and semantic primitive is according to grammer, syntax, morphology, semantic environment
Analyze the semantic elementary cell with attribute feature drawn.
4, Multimedia Material Bank be by through collecting, arrange, Multi-media Material that the mode such as conclusion obtains is integrated into data
Storehouse, and manage concentratedly with the form of data base, it is of course also possible to store with other data acquisition system forms and manage.
The object classification of Multi-media Material can be one or more in personage, animal, plant, virtual things, action or scene
Combination, the form of expression of Multi-media Material is the one in text, data, figure, image, animation, threedimensional model or audio
Or multiple combination.
5, the matching way of Optimum Matching material mates for manually carrying out or carries out automatization by computer software and hardware
Coupling.Optimum Matching material is under artificial match condition, carries out the optimal result selected according to the subjective feeling of people, or
In the case of carrying out automatization's coupling by computer software and hardware, the screening rule set according to computer program is ranked up,
And the optimal result selected from ranking results.
6, carry out described Multi-media Material set concentrating represent represent form for by image, video, audio frequency, animation or
One or more combinations in person's three-dimensional modeling.
7, natural language processing (NLP) is computer science, artificial intelligence, and computer and mankind's (naturally) are paid close attention in linguistics
The field of the interaction between language.OpenNLP be one based on Java machine device learning tool bag, be used for processing natural language
Text.Support the NLP task that great majority are conventional, such as: markization, sentence cutting, part part-of-speech tagging, title extraction, chunk,
Resolve.
8, multimedia technology refers to be believed the medias such as text, data, figure, image, animation, sound by computer
Breath carries out integrated treatment and management, makes user can be carried out the technology of real-time information interaction by multiple sense organ and computer.
Below above-mentioned steps is described in detail.
Step S1, to specifying text to carry out semantic analysis, generates multiple semantic model.In the present embodiment, employ
Text is analyzed processing by OpenNLP.Parse Action Semantic model.Such as, " Xiao Ming walks on the broad road " the words, according to
OpenNLP analyzes and show that " Xiao Ming " is subject, and this is the semantic model representing subject identity, and the keyword of its correspondence is " people "；
" walking " is predicate, namely the semantic model of a behavior act, and the keyword of its correspondence is " walking "；" on the broad road " is table
Language, this is the semantic model of situation of an expression " walking ", and the keyword of its correspondence is " main road ".
Step S2, builds multimedia database.Collect, arrange, sort out various multimedia material, including image, sound,
Video, three-dimensional modeling, animation effect etc..In the present embodiment, manage concentratedly with database form, each material element
Establish key word index.
Step S3, by described multimedia database being retrieved the Optimum Matching material finding each semantic model,
And Optimum Matching material corresponding for each semantic model is integrated into the Multi-media Material collection corresponding with described appointment text
Close.Specifically, retrieve in materials database according to the keyword that semantic analysis draws, i.e. analyze according to step S1 and draw
The keyword of semantic model, the key word index of the materials database set up in step S2 makes a look up, mates, according to excellent
Principle is selected to select the material of an optimum coupling.In the present embodiment, i.e. by " people ", " walking ", " main road " these three key
Word finds three corresponding optimum Multi-media Material set from material database.
In step s 4, in the present embodiment, first according to the attribute of semantic model, the material element of its correspondence is set
Ways of presentation.The attribute of the semantic model that " people " is corresponding is subject, represents main body.The attribute of the semantic model " walking " correspondence is meaning
Language, represents behavior.The attribute of the semantic model that " main road " is corresponding is predicative, represents scene.Therefore the effect shown is exactly
Based on the material corresponding to " people ", the material corresponding to " main road " is scene, and the material corresponding to " walking " is behavior.Present
Go out one have powerful connections, personage, the visual effect of behavior.
The ultimate principle of the present invention and principal character and advantages of the present invention have more than been shown and described.The technology of the industry
Personnel, it should be appreciated that the present invention is not restricted to the described embodiments, simply illustrating this described in above-described embodiment and description
The principle of invention, without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, and these become
Change and improvement both falls within scope of the claimed invention.Claimed scope by appending claims and
Equivalent defines.
Claims (11)
1. the method realizing text visualization Dynamic Display, it is characterised in that comprise the following steps:
Step S1, to specifying text to carry out semantic analysis, generates multiple semantic model；
Step S2, builds multimedia database；
Step S3, by described multimedia database being retrieved the Optimum Matching material finding each semantic model, and will
The corresponding Optimum Matching material of each semantic model is integrated into the Multi-media Material set corresponding with described appointment text；
Step S4, carries out concentration by described Multi-media Material set and represents.
The method realizing text visualization Dynamic Display the most as claimed in claim 1, it is characterised in that in described step S1
In, described appointment text is the text message of natural language, according to the voice of natural language or the text message of image conversion, meter
One or more combinations in the text message of calculation machine program information or the text message of other artificial creation.
The method realizing text visualization Dynamic Display the most as claimed in claim 1, it is characterised in that in described step S1
In, described semantic analysis refers to be analyzed drawing a series of semantic primitive, and root by one section of text message according to semanteme in it
It is combined into multiple semantic model according to semantic environment.
The method realizing text visualization Dynamic Display the most as claimed in claim 3, it is characterised in that described semantic analysis
Implementation for carrying out manual analysis or carrying out described appointment text certainly by computer software and hardware to described appointment text
Dynamic fractional analysis.
Realize the most as claimed in claim 1 text visualization Dynamic Display method, it is characterised in that described semantic model by
Several semantic primitives are constituted, and institute's meaning elements is to have genus according to what grammer, syntax, morphology, semantic environment analysis drew
The semantic elementary cell of property feature.
The method realizing text visualization Dynamic Display the most as claimed in claim 1, it is characterised in that in described step S2
In, the object of the Multi-media Material in described Multimedia Material Bank be categorized as personage, animal, plant, virtual things, action or
One or more combinations in scene.
The method realizing text visualization Dynamic Display the most as claimed in claim 1, it is characterised in that in described step S2
In, the form of expression of the Multi-media Material in described Multimedia Material Bank is text, data, figure, image, animation, three-dimensional mould
One or more combinations in type or audio.
The method realizing text visualization Dynamic Display the most as claimed in claim 1, it is characterised in that in described step S3
In, the described matching way by described multimedia database being retrieved the Optimum Matching material finding each semantic model
For manually carrying out mating or carrying out automatization's coupling by computer software and hardware.
The method realizing text visualization Dynamic Display the most as claimed in claim 8, it is characterised in that in described step S3
In, described Optimum Matching material, refer under artificial match condition, carry out the optimal result selected according to the subjective feeling of people,
Or in the case of carrying out automatization's coupling by computer software and hardware, the screening rule set according to computer program is carried out
Sequence, and the optimal result selected from ranking results.
The method realizing text visualization Dynamic Display the most as claimed in claim 1, it is characterised in that in described step S4
In, described carry out described Multi-media Material set concentrating represent represent form for by image, video, audio frequency, animation or
One or more combinations in three-dimensional modeling.
11. methods realizing text visualization Dynamic Display as according to any one of claim 1 to 10, it is characterised in that
The order of described step S1 and step S2 can be exchanged.
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| CN108614872A (en) * | 2018-04-20 | 2018-10-02 | 北京比特智学科技有限公司 | Course content methods of exhibiting and device |
| CN108733635A (en) * | 2017-04-24 | 2018-11-02 | 珠海金山办公软件有限公司 | A kind of text message methods of exhibiting and device |
| CN108847246A (en) * | 2018-06-15 | 2018-11-20 | 上海与德科技有限公司 | A kind of animation method, device, terminal and readable medium |
| CN109035368A (en) * | 2018-07-03 | 2018-12-18 | 百度在线网络技术（北京）有限公司 | For the information processing method of AR scene, device, equipment and storage medium |
| CN109409255A (en) * | 2018-10-10 | 2019-03-01 | 长沙千博信息技术有限公司 | A kind of sign language scene generating method and device |
| CN110633359A (en) * | 2019-09-04 | 2019-12-31 | 北京百分点信息科技有限公司 | Sentence equivalence judgment method and device |
| CN111726545A (en) * | 2020-06-22 | 2020-09-29 | 广州市百果园信息技术有限公司 | Material file processing method and device, computer equipment and storage medium |
| CN112188311A (en) * | 2019-07-02 | 2021-01-05 | 百度（美国）有限责任公司 | Method and apparatus for determining video material of news |
| CN112200898A (en) * | 2020-10-27 | 2021-01-08 | 平潭诚信智创科技有限公司 | Course display method for education robot |
| CN112632326A (en) * | 2020-12-24 | 2021-04-09 | 北京风平科技有限公司 | Video production method and device based on video script semantic recognition |
| CN113590903A (en) * | 2021-09-27 | 2021-11-02 | 广东电网有限责任公司 | Management method and device of information data |
| WO2022083132A1 (en) * | 2020-10-20 | 2022-04-28 | 深圳市前海手绘科技文化有限公司 | Animation draft generation method and apparatus based on character paragraph |
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| CN108733635B (en) * | 2017-04-24 | 2021-12-03 | 珠海金山办公软件有限公司 | Text information display method and device |
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| CN112200898A (en) * | 2020-10-27 | 2021-01-08 | 平潭诚信智创科技有限公司 | Course display method for education robot |
| CN112632326A (en) * | 2020-12-24 | 2021-04-09 | 北京风平科技有限公司 | Video production method and device based on video script semantic recognition |
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