CN109002430B - Overall planning and paging method for movie and television scenario - Google Patents
Overall planning and paging method for movie and television scenario Download PDFInfo
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- CN109002430B CN109002430B CN201810751239.0A CN201810751239A CN109002430B CN 109002430 B CN109002430 B CN 109002430B CN 201810751239 A CN201810751239 A CN 201810751239A CN 109002430 B CN109002430 B CN 109002430B
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Abstract
The invention discloses a method for overall planning and paging movie and television scenarios, which comprises the following steps: establishing a corresponding data table by taking weather, roles, scenes, clothing props and scene shelves as table names; confirming actors, props, fields and light conditions of each play according to the scenarios and establishing a field table; combining similar scenes and establishing a sequential scene table; reading the information of the sequence scene table to establish a paging plan, and verifying a feasibility data model through script analysis data; calculating scene complexity; classifying the similar sub-scenes; counting the line number of the corresponding scene and the line number of the current page script; the tagging processing is carried out on the split scenes to form scene labels with weights, the occupation ratio of the corresponding scenes in the whole page is calculated, the paging is calculated, the overall paging of the whole script is analyzed by combining a natural language processing technology and a machine learning algorithm, so that the error caused by human factors to the script paging is reduced, the efficiency and the accuracy of the script paging are improved, the efficiency of shooting the script is improved, and the purpose of shooting cost is saved.
Description
Technical Field
The invention relates to the technical field of overall planning and paging of movie and television scenario, in particular to an overall planning and paging method of a movie and television scenario.
Background
The scenario paging technology is involved in the overall analysis of the movie and television scenario, the technology plays a vital role in the shooting process of the scenario, and a director can know the size of the current task according to the paging technology, know the shooting progress of the scenario and shoot details of the scenario. Common scenario overall planning paging technology is mainly based on the scenario shooting content, experienced processing such as scenario degree of difficulty, personnel, place, and present scenario overall planning paging technology mainly reads the scenario, judges the scenario content, pre-estimates the work load and makes the paging mark through the manual work, makes overall planning task planning according to paging calculation, and this kind of paging technology by virtue of experience has following drawback:
a, the script paging technology relates to a lot of contents, the script of each page is analyzed independently, the workload of script shooting is evaluated, certain experience exists, no corresponding theoretical basis exists, certain error judgment exists, the accuracy is low, the efficiency is low, and the subjective factors are many.
b. The paging technology measures the shooting task amount of one day in the overall planning, and plays a role in quantifying the frequent degree of the lens and plot conversion, and the overall planning personnel hardly carefully analyze the relationship between the plot and the lens in the quantified process, so that the difficulty in overall planning of the scenario is increased in the scenario shooting process. Under the condition of multiple constraints of sites and actor shelves, better overall arrangement cannot be made.
c. The manual experience has a lot of uncontrollable factors, and the schedule arrangement needs to consider many objective factors, so that the paging data can not be accurately and effectively quantified and the corresponding shooting plan can not be reasonably arranged.
Disclosure of Invention
In order to solve the technical problems, the invention provides a comprehensive film and television scenario paging method, which aims to reduce errors caused by human factors to scenario paging, improve efficiency and accuracy of scenario paging, improve efficiency of scenario shooting and save shooting cost.
In order to achieve the aim, the technical scheme of the invention is that the overall planning and paging method for the movie and television scenario comprises the following steps:
step 1: establishing corresponding data tables by taking weather, roles, scenes, clothing props and scene shelves as table names respectively;
step 2: confirming actors, props, fields and light conditions in each scene of the game according to the scenario and establishing a scene division table;
and step 3: combining scenes with similar field, actor and light conditions and establishing a sequential scene list;
and 4, step 4: reading the information of the sequence scene table, establishing a paging plan, and verifying feasibility data models of a single set, a single field, a role and a date through script analysis data;
and 5: calculating the scene complexity of a single scene in a script sequence scene table;
step 6: classifying similar divided scenes in the sequence scene list, and rearranging the script on the A4 paper layout according to the small four-size Song style font;
and 7: counting the line number of the in-line scene and the line number of the play of the current page in the scene table;
and step 8: and 5, labeling the split scenes according to the result of the step 5 to form scene labels with weights, calculating the proportion of the corresponding scenes in the whole page according to the result of the step 6, and calculating the pages.
Further, the fields in the antenna table include: date and status; the fields in the character table include: set, session, and role; the fields in the scene table include: set, session and scene name: the fields in the clothing prop table include: collecting, field, property name and property weight; the fields in the scene schedule table include: set, session status and weight.
Further, when the information of the sequential scene table is read and a paging plan is established to be specific to the same scene, the shots under the same or similar light ray condition are preferably shot; and under the same light condition, taking the shots of the same machine position or the shots of the special actors preferentially.
Further, the method for calculating the scene complexity of the scenario studio is as follows: script word number C for defining scene 1 Number of actors C 2 Number of special actors C 3 Number of actors in the masses C 4 Prop number P i Prop complexity δ i The method comprises the following steps of A, a lens type ST and an OS amount OS of each scene, wherein the lens type ST is divided into a normal lens, a special lens and other lenses, and the calculation formula is as follows:
(i, number of props, j =1,2,3, 4.. And n is the number of scenario scenes).
Further, the method for classifying the similar divided scenes comprises the following steps: and performing word segmentation, labeling and artificial enhancement on the script by adopting a text analysis technology in natural language processing, analyzing the sub scenes in the script, and classifying the similar sub scenes on the premise of accurate analysis.
Further, the method for calculating paging includes: defining a weighted scene label as O i Defining the occupation ratio of the corresponding scene in the whole page as delta n The calculation formula is page = delta n *O i 。
The invention has the following advantages:
(1) The invention analyzes the overall paging arrangement of the whole script by combining the natural language processing technology with the machine learning algorithm, introduces the concept of scene complexity and quantizes the concept, reduces the error of human factors to the script paging, improves the efficiency and the accuracy of the script paging, improves the efficiency of script shooting and saves the shooting cost.
(2) Under the conditions that the script adds, deletes and modifies the content, the overall paging task can be generated again, the flexibility is strong, the time for planning the overall page again is saved, and the paging efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a flowchart of a movie scenario overall planning and paging method disclosed in the embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention.
The invention provides a movie and television scenario overall planning and paging method, which has the working principle that the overall planning and paging arrangement of the whole scenario is analyzed by combining a natural language processing technology with a machine learning algorithm, and the concept of scene complexity is introduced and quantified, so that the aims of reducing errors caused by human factors to the scenario paging, improving the efficiency and the accuracy of scenario paging, improving the efficiency of scenario shooting and saving the shooting cost are fulfilled.
The present invention will be described in further detail with reference to examples and specific embodiments. As shown in fig. 1, a method for overall paging movie and television scenario includes the following steps:
step 1: establishing corresponding data tables by taking weather, roles, scenes, clothing props and scene shelves as table names respectively;
and 2, step: confirming actors, props, fields and light conditions in each scene of the game according to the scenario and establishing a scene division table;
and step 3: combining scenes with similar field, actor and light conditions and establishing a sequential scene list, thereby reducing the time of transition and after field;
and 4, step 4: reading the information of the sequence scene table, establishing a paging plan, and verifying feasibility data models of a single set, a single field, a role and a date through script analysis data;
and 5: calculating the scene complexity of a single scene in a script sequence scene table;
step 6: classifying the similar scenes, and rearranging the script on the A4 paper layout according to the small four-size Song font;
and 7: counting the number of lines r of the corresponding scene n And the number of lines R of the current page scenario k Wherein n is the number of scenes, and k is the number of pages;
and 8: and (5) labeling the sub-scenes according to the result of the step (5) to form scene labels with weights, calculating the proportion of the corresponding scenes in the whole page according to the result of the step (6), and calculating the pagination.
Wherein the fields in the antenna table include: date and status; the fields in the character table include: set, session, and role; the fields in the scene table include: set, session and scene name: the fields in the clothing prop form comprise: collecting, field, prop name and prop weight; fields in the scenario schedule table include: set, field, staging status, and weight.
When the information of the sequential scene table is read and a paging plan is established to be specific to the same scene, taking a lens under the same or similar light ray condition preferentially; under the same light condition, the lens of the same position or the lens of a special actor is preferably shot, the general principle is that the lens of the same or similar light condition is shot firstly on the premise of keeping the headlight as much as possible, then the light is adjusted to shoot the lens of the next light condition, the lens of the same position is preferably shot under the same light condition, if the special actor has limited stage, the play of the special actor is preferably shot, namely all the lenses needing his (her) face exposure are shot, then the other reaction lenses and environmental lenses are shot after walking, and the panorama and the action are replaced by the alternate lens.
The method for calculating the scene complexity of the script single field comprises the following steps: script word number C for defining scene 1 Number of actors C 2 Number of special actors C 3 The number of actors in the crowd C 4 Prop number P i Prop complexity δ i The method comprises the following steps of A, a lens type ST and an OS amount OS of each scene, wherein the lens type ST is divided into a normal lens, a special lens and other lenses, and the calculation formula is as follows:
(i, number of props, j =1,2,3, 4.. And n is the number of scenario scenes).
The method for classifying the similar component scenes comprises the following steps: the method comprises the steps of performing word segmentation, labeling and artificial enhancement on a script by adopting a text analysis technology in natural language processing, analyzing the scenes in the script, and classifying similar scenes on the premise of accurate analysis.
The method for calculating paging comprises the following steps: defining a weighted scene tag as O i Defining the occupation ratio of the corresponding scene in the whole page as delta n The calculation formula is page = delta n *O i . And calculating each page, wherein the capacity of each page of paper is equivalent to one minute on a screen, and each scene gives a brief sex, age and character characteristic description of the actor, so that a planning person can have basic understanding on the script.
The shooting angle change is needed for special scenes, and the lamplight combination is combined with reality to be adjusted manually according to the script dialogue and the character relation.
After the movie and television script content is read, the script is divided into an actor group, a scene group, a prop group, a dubbing group, a makeup group and the like by means of manual labeling technology and text analysis technology in natural language processing, the corresponding relation between the actors and the scenes is established by the script content and the labeling result, and the complexity of the corresponding scenes is calculated for the script scenes according to the shooting content, the number of the actors, the scene stage and the script content; calculating quantitative shooting contents according to the complexity, and providing overall paging quantitative indexes in a specified time; in addition, manual adjustment can be carried out on the scenes with large task volumes according to the shooting task, the work burden is relieved for scenario planning personnel, meanwhile, under the conditions that contents are added, deleted and modified in the scenario, overall planning paging tasks can be regenerated, the scenario planning is optimized, overall planning time is saved, and the problem of low efficiency of overall planning paging of the scenario completed by means of manual experience is solved.
The invention has the important difference from the traditional script shooting plan that the problem of the movie industry is solved by introducing the intelligent technology and the traditional working mode of planning and arranging by relying on the experience of the overall personnel is replaced.
The above description is only a preferred embodiment of the overall scenario paging method disclosed in the present invention, and it should be noted that, for those skilled in the wood field, several variations and modifications can be made without departing from the inventive concept of the wood, and these embodiments all fall within the protection scope of the present invention.
Claims (4)
1. A comprehensive planning and paging method for movie and television play books is characterized by comprising the following steps:
step 1: establishing corresponding data tables by taking weather, roles, scenes, clothing props and scene grades as table names respectively;
step 2: confirming actors, props, fields and light conditions in each scene of the game according to the scenario and establishing a scene division table;
and step 3: combining scenes with similar field, actor and light conditions and establishing a sequential scene list;
and 4, step 4: reading the information of the sequence scene table, establishing a paging plan, and verifying feasibility data models of a single set, a single field, a role and a date through script analysis data;
and 5: calculating the scene complexity of a single scene in a script sequence scene table; the method for calculating the scene complexity of a single scene in the script sequence scene table comprises the following steps: script word number C for defining scene 1 Number of actors C 2 Number of special actors C 3 The number of actors in the crowd C 4 Prop number P i Prop complexity δ i Shot type ST and OS amount per scene oAnd s, the lens type ST is divided into a normal lens, a special lens and other lenses, and the calculation formula is as follows:
wherein i represents a prop number, j =1,2,3,4, · and n is the number of scenario scenes;
step 6: classifying similar scenes in the sequence scene list, and rearranging the script on the A4 paper layout according to the small four-size Song font;
and 7: counting the line number of the in-line scenes and the line number of the current page script in the scene table;
and step 8: labeling the sub-scenes according to the result of the step 5 to form scene labels with weights, calculating the proportion of the corresponding scenes in the whole page according to the result of the step 6, and calculating the pagination; the method for calculating paging comprises the following steps: defining a weighted scene tag as O m Defining the occupation ratio of the corresponding scene in the whole page as delta m The calculation formula is page = delta m *O m Where m denotes a scene number.
2. The scenario orchestration paging method according to claim 1, wherein fields in an air table comprise: date and status; the fields in the character table include: set, session and role; the fields in the scene table include: set, session and scene name: fields in the clothing property sheet include: collecting, field, prop name and prop weight; the fields in the scene schedule include: set, session status and weight.
3. The movie scenario overall planning and paging method according to claim 1, wherein the sequential scene table information is read, and when a paging plan is established to a same scene, shots under the same or similar light conditions are preferably taken; and under the same light condition, taking the shots of the same machine position or the shots of the special actors preferentially.
4. The movie scenario overall planning and paging method according to claim 1, wherein the method for classifying similar scenes in the sequence scene table is: the method comprises the steps of performing word segmentation, labeling and artificial enhancement on a script by adopting a text analysis technology in natural language processing, analyzing the scenes in the script, and classifying similar scenes on the premise of accurate analysis.
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| CN111368523A (en) * | 2018-12-26 | 2020-07-03 | 嘉太科技(北京)有限公司 | Method and device for converting layout format of movie and television script |
| CN110765405A (en) * | 2019-09-26 | 2020-02-07 | 西安石油大学 | Schedule planning method based on priority degree |
| CN114639052B (en) * | 2022-03-23 | 2023-08-04 | 阿里巴巴（中国）有限公司 | Method, device and equipment for generating shooting scene grouping information |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1940909A (en) * | 2005-09-30 | 2007-04-04 | 文化传信科技（澳门）有限公司 | Sub-scene copy generating system and method |
| CN107169742A (en) * | 2017-05-23 | 2017-09-15 | 首汇焦点（北京）科技有限公司 | Management method and system that a kind of film-making is planned as a whole |
| CN107977362A (en) * | 2017-12-11 | 2018-05-01 | 中山大学 | A kind of method defined the level for Chinese text and calculate the scoring of Chinese text difficulty |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1940909A (en) * | 2005-09-30 | 2007-04-04 | 文化传信科技（澳门）有限公司 | Sub-scene copy generating system and method |
| CN107169742A (en) * | 2017-05-23 | 2017-09-15 | 首汇焦点（北京）科技有限公司 | Management method and system that a kind of film-making is planned as a whole |
| CN107977362A (en) * | 2017-12-11 | 2018-05-01 | 中山大学 | A kind of method defined the level for Chinese text and calculate the scoring of Chinese text difficulty |
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