CN102819858B - Method for organizing and applying cartoon material - Google Patents
Method for organizing and applying cartoon material Download PDFInfo
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- CN102819858B CN102819858B CN201210266736.4A CN201210266736A CN102819858B CN 102819858 B CN102819858 B CN 102819858B CN 201210266736 A CN201210266736 A CN 201210266736A CN 102819858 B CN102819858 B CN 102819858B
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Abstract
The invention discloses a method for organizing and applying the cartoon material, which comprises the following steps of: concluding and analyzing cartoon material content and correlation; constructing a cartoon material knowledge system; on the basis of carrying out preliminary semantic comprehension on a query language input by a user, reasoning in the cartoon material knowledge system; and generating a basic retrieval material set and an expanding retrieval material set. According to the method for organizing and applying the cartoon material, which is disclosed by the invention, one set of description and management knowledge system structure is provided for the cartoon material, and a flexible and intelligent cartoon material retrieval mode is provided for cartoon manufacture personnel.
Description
Technical field
The invention belongs to computer animation field, relate to natural language processing, artificial intelligence, the application technologies such as Semantic Information Processing, for the tissue of cartoon material, description and application, propose a kind of method of cartoon material tissue and application.
Background technology
How for concrete demand, efficiently and exactly from substantial amounts, finding required or close material in miscellaneous cartoon material, is the key of the efficiency improving three-dimensional animation production.
Utilizing cartoon material to carry out in animation process, except considering the form of material, outside the Fundamentals such as resolution, in order to ensure the consistance in plot of whole animation, the epoch belonging to material, the factors such as region are also very crucial.Existing cartoon material management platform, only retrieves material usually classification, and lacks the description for material service condition and background, brings inconvenience for cartoon material uses.
In addition, mainly to material model in existing cartoon material management platform, the retrieval of the static material such as pinup picture, and for the animation of dynamic material as role, the shape of the mouth as one speaks etc. relate to less;
Finally, the material classification comprised in existing cartoon material management platform is independent of one another, but is be mutually related between dissimilar material in material use procedure, as actor model is often associated with corresponding operation curve.
Summary of the invention
For above problem, the object of the invention is to propose a kind of method of cartoon material tissue and application, with effectively to dissimilar cartoon material and between mutual relationship administer and maintain, improve the extendability of Animation material search and intelligent.Its feature of method of cartoon material tissue and application is: (1) builds a cartoon material knowledge hierarchy, carries out classified description, and portray the incidence relation between dissimilar material the similar cartoon material utilized in cartoon making; (2) design cartoon material inference method, improve the intelligent of material retrieval.
In order to reach this purpose, the present invention proposes a kind of method of cartoon material tissue and application, and key step comprises:
Step S1: build cartoon material knowledge hierarchy;
Step S2: on the architectonic basis of cartoon material, carries out preliminary semantic understanding to the inquiry of user's input, generates the set of basic retrieval semantic primitive;
Step S3: according to the set of basic retrieval semantic primitive, in conjunction with the relation in cartoon material knowledge hierarchy between material, build knowledge tree inference pattern, carries out reasoning to the set of basic retrieval semantic primitive, generates the set of query expansion semantic primitive;
Step S4: according to basic retrieval semantic primitive set and the set of query expansion semantic primitive, retrieve cartoon material, generates basic retrieval material set and the set of query expansion material.
Further, the mode that described cartoon material knowledge hierarchy provides a kind of cartoon material tissue and describes, for the retrieval of cartoon material and application provide support, builds the architectonic step of cartoon material and comprises:
Step S11: cartoon material domain knowledge content analysis;
Step S12: set up three layer cartoon material knowledge hierarchies;
Further, the content analysis of described step S11 cartoon material domain knowledge, is divided into static material and dynamic material by cartoon material knowledge;
Static material is the architectonic basis of cartoon material, and dynamic material is set up on the basis of static material, is mainly divided into the dynamic material relevant to role and the dynamic material two kind relevant with the story of a play or opera.
Further, it is on the basis analyzing cartoon material content that described step S12 sets up three layer cartoon material knowledge hierarchies, interrelated according between material, builds and comprises material knowledge tree layer, material classification describing layer, the cartoon material knowledge system construction of material instance layer three layers;
Material knowledge tree layer portrays material of the same type, dissimilar material relation, the classificating knowledge of general knowledge and they between connect each other;
Material classification describing layer portrays the describing framework of material;
Material instance layer is the describing framework provided according to material classification describing layer, describes the instantiation that material carries out.
Further, described material knowledge tree layer is made up of some material knowledge trees, and material knowledge tree represents the classificating knowledge of a class cartoon material or general knowledge, and material knowledge tree is made up of some knowledge node;
Relation in same material knowledge tree between knowledge node mainly comprises father and son, member and similarity relation; Relation between different material knowledge tree mainly comprises incidence relation and major-minor relation.
Further, described knowledge tree inference pattern, mainly comprises similarity inference and related reasoning;
Similarity inference, is sequentially sorted to the knowledge node of same material knowledge tree according to similarity for foundation from high to low with the similarity size between the knowledge node of material knowledge tree; Related reasoning utilizes connecting each other between material knowledge tree, the reasoning operation between material of the same type.
Further, the retrieval of described cartoon material, substantially to retrieve based on semantic primitive set and the set of query expansion semantic primitive, with cartoon material knowledge hierarchy for foundation, produce basic retrieval constrain set and query expansion constrain set, and generate basic retrieval material set and the set of query expansion material.
A kind of cartoon material tissue of the present invention and application method its be a little: (1) can build cartoon material knowledge hierarchy, classified description is carried out to the similar cartoon material utilized in cartoon making, and the incidence relation between dissimilar material is portrayed; (2) devise cartoon material inference method, improve the intelligent of material retrieval.
Accompanying drawing illustrates:
Fig. 1 is the structural drawing that a kind of cartoon material of the present invention organizes and methods for using them;
Fig. 2 is cartoon material taxonomic structure figure of the present invention;
Fig. 3 is material knowledge tree layer of the present invention, material classification describing layer, the structural relation figure between material instance layer;
Fig. 4 is the graph of a relation between main knowledge tree and supplementary knowledge are set;
Fig. 5 is the description scheme figure of " scene " material classification;
Fig. 6 is the process flow diagram substantially retrieving semantic primitive set generation;
Fig. 7 is the process flow diagram that the set of query expansion semantic primitive generates;
Embodiment
Below in conjunction with accompanying drawing, systematically how cartoon material knowledge hierarchy is built to the present invention, and on this basis the mode that cartoon material is retrieved is described in detail.
A kind of cartoon material of the present invention organizes the structure of and methods for using them as shown in Figure 1.This invention is being analyzed the content of cartoon material required in animation process and is being mutually related on basis, build cartoon material knowledge hierarchy, and Material for design Similarity measures and inference method on this basis, for animation personnel provide a kind of more intelligent easy material retrieval mode, make user can find in the mode of natural language searching the material and related materials that satisfy condition from material database.
Below the function of each flow process and design are described in detail.
Step S1: build cartoon material knowledge hierarchy;
The architectonic structure of cartoon material is the basis of whole cartoon material tissue and application, and the key step of structure comprises:
Step S11: three-dimensional animation production domain knowledge content analysis;
Cartoon material domain knowledge content is being concluded and summed up, cartoon material is being divided into static material domain knowledge and dynamic material domain knowledge.Cartoon material taxonomic structure as shown in Figure 2.
Static material mainly comprises scene, situation elements, material, texture, pinup picture, model, hair; Dynamic material is mainly divided into the dynamic material relevant to role and the dynamic material two kind relevant with the story of a play or opera.Wherein relevant to role dynamic material comprises role action, attitude, and expression, the shape of the mouth as one speaks, sound, the dynamic material relevant to the story of a play or opera comprises dubs in background music and special efficacy.
Static material and dynamic material not separate, static material is the basis of whole cartoon production, and dynamically material is with the basis of static material, be according to plot need dynamic operation on static material (as action, expression ...).
In addition, by the constraint of general knowledge and may affect in material-making and use procedure, general knowledge mainly comprises geography, the epoch, weather, video camera seat in the plane, picture ratio, the factors such as color.
Actor model and situation elements are the core materials of static material, and dynamically material is all based on actor model for expression, attitude, action etc., and situation elements is then the basis building scene; Material, pinup picture, texture material is stage property, and the structure of the materials such as clothes provides support; In order to enable material meet epoch and region, the structure that general knowledge is material provides the constraint of Time and place.
Step S12: set up three layer cartoon material knowledge hierarchies;
On the basis of concluding cartoon material knowledge and summing up, according to the difference of material granularity, build and comprise material knowledge tree layer, material classification describing layer, three layer cartoon material knowledge system construction of material instance layer.Material knowledge tree layer, material classification describing layer, the structural relation between material instance layer as shown in Figure 3.
(1) material knowledge tree layer portrays the classificating knowledge of material of the same type and general knowledge, and the mutual relationship between dissimilar material;
According to the importance of material corresponding in material knowledge in animation process and relation of interdependence, be main knowledge tree sublayer and auxiliary knowledge tree sublayer by knowledge tree layer Further Division.
Main knowledge tree sublayer comprises in animation process the cartoon material classification knowledge with entity, comprising: actor model knowledge tree, situation elements knowledge tree, scene knowledge tree, stage property knowledge tree, clothes knowledge tree, material knowledge tree, pinup picture knowledge tree, expression knowledge tree, attitude knowledge tree, action knowledge tree, shape of the mouth as one speaks knowledge tree, audio knowledge tree, to dub in background music knowledge tree, special efficacy knowledge tree.
In main knowledge tree sublayer, in same knowledge tree, the relation of knowledge node comprises three kinds, set membership, component relationship, similarity relation.Wherein in set membership, sub-level node inherits the attribute of parent node; And in member relation, member node is a part for composition parent node.Between the main knowledge tree of difference, according to the relation between affiliated material, knowledge tree tree root set up between interrelated, have expressed the incidence relation between dissimilar material.
Supplementary knowledge tree layer is portraying general knowledge, mainly comprises the classificating knowledge supporting the knowledge in main knowledge tree layer and illustrate, comprising: weather knowledge tree, color knowledge tree, region knowledge tree, epoch knowledge tree, set off atmosphere knowledge tree etc. by contrast.
Main knowledge tree and supplementary knowledge set between relation as shown in Figure 4.
(2) material classification describing layer determines the describing framework of different story types;
Material classification describing layer is based upon between material knowledge tree and material instance layer, is to define the describing framework of the material knowledge node in material knowledge tree layer, and the retrieval for cartoon material provides the retrieval mode of multi-angle.In material classification describing layer, adopt < attribute-name, the mode of span > is described material knowledge point.As the description scheme for " scene " material classification as shown in Figure 5.
(3) material instance layer is the describing framework to providing according to material classification describing layer, is described concrete cartoon material.
Material instance layer is the architectonic bottom of cartoon material, is the describing framework provided according to material classification describing layer, and the instantiation carried out for concrete cartoon material describes.
Step S2: on the architectonic basis of cartoon material, the basic retrieval semantic primitive set of preliminary semantic understanding generation is carried out in inquiry for user's input, and the set of basic retrieval semantic primitive is made up of the knowledge node in knowledge tree layer in some cartoon material knowledge hierarchy.The flow process that basic retrieval semantic primitive set generates as shown in Figure 6.The key step that basic retrieval semantic primitive set generates comprises:
Step S21: participle;
The query statement inputted user is carried out cutting, and cutting result is a phrase set.
Step S22: the knowledge node of searching the corresponding knowledge tree of vocabulary;
According to cartoon material knowledge hierarchy, participle is obtained phrase and mate with node on knowledge tree, often mate a knowledge node and the score value of this knowledge node is added 1, and record the mapping relations of this phrase and this knowledge node.Add up the score value of each phrase knowledge node on the other side, choose the result of the maximum knowledge node of score value as this phrase semantic analysis, generate main knowledge tree candidate search node set at main knowledge tree layer, generate supplementary knowledge tree candidate search node set at supplementary knowledge tree layer.
Step S23: knowledge node is integrated
Main knowledge tree candidate search node set and supplementary knowledge tree candidate search node set are integrated, generates the set of basic retrieval semantic primitive.
The mode integrated comprises set membership and integrates and member relation integration.Wherein set membership is integrated, mainly utilize the set membership of knowledge node in knowledge tree, if namely there is the node with set membership in candidate search node set, then child node is added in the set of basic retrieval semantic primitive, because child node is more concrete than the intension of father node; Member relation is integrated, and mainly utilizes the member relation of knowledge node in knowledge tree, if namely there is the node with member relation in candidate search node set, then member node all for this knowledge node is added in the set of basic retrieval semantic primitive.
Step S3: for the set of basic retrieval semantic primitive, in conjunction with the relation in cartoon material knowledge hierarchy between material, carries out knowledge tree reasoning to basic retrieval semantic primitive, generates the set of query expansion semantic primitive.The set of query expansion semantic primitive is made up of the knowledge node in knowledge tree layer in some cartoon material knowledge hierarchy.The flow process that the set of query expansion semantic primitive generates as shown in Figure 7.
Knowledge tree reasoning is divided into according to different by inference: similarity inference and related reasoning two class.
(1) similarity inference
Similarity inference refers in same knowledge tree, for the knowledge node selected, generates knowledge node similarity sequence according to similarity between knowledge node.
For each knowledge node in the set of basic retrieval semantic primitive, according to the result of Similarity measures, generate similarity knowledge node sequence from high to low, add the set of query expansion semantic primitive to.
For the knowledge node K of synonym
1, K
2, make K
1, K
2similarity
Similarity (K
1, K
2)=1; And for non-synonymous concept, usually utilize knowledge node K
1, K
2distance Dist (K
1, K
2) indirectly obtain Similarity (K
1, K
2).
Knowledge node K
1, K
2distance Dist (K
1, K
2) the intension attributive distance Dist of knowledge node can be decomposed into again
intension(K
1, K
2) and epitaxial relationship distance Dist
extension(K
1, K
2).
Wherein, knowledge node intension distance Dist is affected
intension(K
1, K
2) factor comprise the title of attribute between knowledge node and the property value of corresponding attribute;
Wherein Weight
common_Atrfor the similarity Lifting Coefficients between knowledge node caused by same alike result,
Dim represents the number of the element of set.Attributes (K
1) be knowledge node K
1community set, Attribute (K
2) be knowledge node K
2community set.
Common_Atr (K
1, K
2) be knowledge node K
1, K
2total community set,
Common_Atr(K
1,K
2)＝Attributes(K
1)∩Attribute(K
2)
Weight
atrrepresent the significance level of attribute atr in this knowledge node, usual 0≤Weight
atr≤ 1.
Dist
atr(K
1, K
2) represent knowledge node K
1, K
2the semantic distance of value on attribute atr, as in cartoon material knowledge hierarchy, title is the knowledge tree T that atr is identical, then Dist
atr(K
1, K
2) be then the distance of knowledge node K1, K2 in corresponding knowledge tree T, knowledge node K else if
1, K
2the identical then Dist of property value of attribute atr
atr(K
1, K
2) be 1, otherwise be 0.
(2) related reasoning
Mainly between different knowledge trees (comprise between main knowledge tree and between main knowledge tree and supplementary knowledge tree), interrelated according between knowledge tree, generates the set of query expansion semantic primitive to related reasoning.
For each knowledge node in knowledge node similarity sequence, if knowledge tree belonging to this knowledge node belongs to main knowledge tree layer, and relevant with other main knowledge trees (contact according between knowledge tree tree root), then can according to the incidence relation of incidence relation at relevant main knowledge tree, obtain the knowledge node in relevant main knowledge tree, add the set of query expansion semantic primitive to.Common incidence relation is associating between dynamic material with static material, as contacting between actor model knowledge tree and role action knowledge tree, for actor model, can infer this actor model the operational materials that are suitable for, i.e. role animation curve.
Step S4: according to basic retrieval semantic primitive set and the set of query expansion semantic primitive, in conjunction with cartoon material knowledge hierarchy, carries out basic material retrieval and the retrieval of expansion material to cartoon material, generates material and substantially retrieve set and the set of material query expansion.The step of retrieval comprises:
Step S41: generate basic retrieval constrain set and query expansion constrain set;
Divide according to the classification of knowledge tree belonging to knowledge node in basic retrieval semantic primitive set and the set of query expansion semantic primitive, be divided into main knowledge tree knowledge node set K
primary={ K
pi, i=1,2 .... with supplementary knowledge node set K
auxilary={ K
aj, j=1,2 .....Wherein K
pirepresent the knowledge node of main knowledge tree in basic retrieval semantic primitive set and the set of query expansion semantic primitive, K
ajrepresent the knowledge node of supplementary knowledge tree in basic retrieval semantic primitive set and the set of query expansion semantic primitive.
According to the correlationship of supplementary knowledge tree and main knowledge tree in basic retrieval unit set, generate basic retrieval constrain set R
basic={ <K
aj, K
pi>
basic| Support (T
aj, T
pi), i, j=1,2 ...
According to the correlationship of supplementary knowledge tree and main knowledge tree in query expansion constrain set, generate query expansion constrain set R
extend={ <K
aj, K
pi>
extend| Support (T
aj, T
pi), i, j=1,2 ...
Wherein T
ajrepresent knowledge node K
ajaffiliated supplementary knowledge tree, T
pirepresent knowledge node K
picorresponding main knowledge tree, Support (T
aj, T
pi) represent supplementary knowledge tree K
ajto main knowledge tree K
pithere is supporting relation.
Step S42: according to basic retrieval constrain set and query expansion constrain set, retrieval concept material example, generates basic retrieval material set and the set of query expansion material.
For the constraint <K in basic retrieval constrain set and query expansion constrain set
aj, K
pi>, T
ajrepresent knowledge node K
ajaffiliated supplementary knowledge tree, T
pirepresent knowledge node K
picorresponding main knowledge tree.The step of retrieval comprises:
Step S421: generate Property Name, by T
ajthe name of knowledge tree is referred to as attribute-name AtrName;
Step S422: generate property value, by K
ajthe name of knowledge node is referred to as property value AtrValue;
Step S423: determine to search the little Class Type of material, by K
pithe name of knowledge tree is referred to as retrieval story types searchType;
Step S424: in material conceptual example storehouse, retrieves the material set that type is searchType, and in this set retrieval to meet attribute be AtrName, property value is the material of AtrValue, and according to constraint <K
aj, K
pithe affiliated set (basic retrieval constrain set or query expansion constrain set) of >, adds to basic retrieval material set or the set of query expansion material.
Claims (4)
1. a method for cartoon material tissue and application, comprises following steps:
Step S1: build cartoon material knowledge hierarchy, provides the mode of a kind of cartoon material tissue and description, for the retrieval of cartoon material and application provide support; The architectonic step of described structure cartoon material comprises:
Step S1-1: cartoon material domain knowledge content analysis;
Step S1-2: set up three layer cartoon material knowledge hierarchies: on the basis analyzing cartoon material content, interrelated according between material, builds and comprises material knowledge tree layer, material classification describing layer, the cartoon material knowledge system construction of material instance layer three layers;
Material knowledge tree layer portrays material of the same type, dissimilar material relation, the classificating knowledge of general knowledge and they between connect each other; According to the importance of material corresponding in material knowledge in animation process and relation of interdependence, be main knowledge tree sublayer and auxiliary knowledge tree sublayer by material knowledge tree layer Further Division; Main knowledge tree sublayer comprises in animation process the cartoon material classification knowledge with entity, comprising: actor model knowledge tree, situation elements knowledge tree, scene knowledge tree, stage property knowledge tree, clothes knowledge tree, material knowledge tree, pinup picture knowledge tree, expression knowledge tree, attitude knowledge tree, action knowledge tree, shape of the mouth as one speaks knowledge tree, audio knowledge tree, to dub in background music knowledge tree, special efficacy knowledge tree; Auxiliary knowledge tree sublayer is portraying general knowledge, mainly comprises the classification supporting the knowledge in main knowledge tree layer and illustrate, comprising: weather knowledge tree, color knowledge tree, region knowledge tree, epoch knowledge tree, set off atmosphere knowledge tree by contrast;
Material classification describing layer portrays the describing framework of material;
Material instance layer is the describing framework provided according to material classification describing layer, describes the instantiation that material carries out;
Step S2: on the architectonic basis of cartoon material, carries out preliminary semantic understanding to the inquiry of user's input, generates the set of basic retrieval semantic primitive;
Step S3: according to the set of basic retrieval semantic primitive, in conjunction with the relation in cartoon material knowledge hierarchy between material, build knowledge tree inference pattern, carries out reasoning to the set of basic retrieval semantic primitive, generates the set of query expansion semantic primitive;
Step S4: according to basic retrieval semantic primitive set and the set of query expansion semantic primitive, retrieve cartoon material, generates basic retrieval material set and the set of query expansion material; The retrieval of described cartoon material, substantially to retrieve based on semantic primitive set and the set of query expansion semantic primitive, with cartoon material knowledge hierarchy for foundation, produce basic retrieval constrain set and query expansion constrain set, and generate basic retrieval material set and the set of query expansion material.
2. the method for a kind of cartoon material tissue as claimed in claim 1 and application, is characterized in that: the content analysis of described step S1-1 cartoon material domain knowledge, is divided into static material and dynamic material by cartoon material knowledge;
Static material is the architectonic basis of cartoon material, and dynamic material is set up on the basis of static material, is mainly divided into the dynamic material relevant to role and the dynamic material two kind relevant with the story of a play or opera.
3. the method for a kind of cartoon material tissue as claimed in claim 2 and application, it is characterized in that: described material knowledge tree layer is made up of some material knowledge trees, material knowledge tree represents the classificating knowledge of a class cartoon material or general knowledge, and material knowledge tree is made up of some knowledge node;
Relation in same material knowledge tree between knowledge node mainly comprises father and son, member and similarity relation; Relation between different material knowledge tree mainly comprises incidence relation and major-minor relation.
4. the method for a kind of cartoon material tissue as claimed in claim 1 and application, is characterized in that: described knowledge tree inference pattern, mainly comprises similarity inference and related reasoning;
Similarity inference, is sequentially sorted to the knowledge node of same material knowledge tree according to similarity for foundation from high to low with the similarity size between the knowledge node of material knowledge tree; Related reasoning utilizes connecting each other between material knowledge tree, the reasoning operation between material of the same type.
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| CN107193913A (en) * | 2017-05-15 | 2017-09-22 | 镇江千丝雨动画设计有限公司 | The searching method and system of cartoon material |
| CN108121957B (en) * | 2017-12-19 | 2021-09-03 | 麒麟合盛网络技术股份有限公司 | Method and device for pushing beauty material |
| CN109345616A (en) * | 2018-08-30 | 2019-02-15 | 腾讯科技（深圳）有限公司 | Two dimension rendering map generalization method, equipment and the storage medium of three-dimensional pet |
| CN110276078A (en) * | 2019-06-25 | 2019-09-24 | 苏州梦嘉信息技术有限公司 | Public material database establishes system and method |
| CN112800216A (en) * | 2021-01-29 | 2021-05-14 | 联想(北京)有限公司 | Method and device for generating problem solving animation |
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