CN110909185B - Intelligent broadcast television program production method and device - Google Patents
Intelligent broadcast television program production method and device Download PDFInfo
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- CN110909185B CN110909185B CN201811083101.4A CN201811083101A CN110909185B CN 110909185 B CN110909185 B CN 110909185B CN 201811083101 A CN201811083101 A CN 201811083101A CN 110909185 B CN110909185 B CN 110909185B
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
Abstract
The invention discloses an intelligent broadcast television program making method and device. The method comprises the following steps: analyzing the acquired program script to obtain semantic information and semantic logical relationship information; according to the semantic information, retrieving to obtain a plurality of program materials to be edited; sequencing the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list; synthesizing a plurality of program materials to be edited in the program material list to generate a broadcast television program; and outputting the broadcast television program. According to the embodiment of the invention, high-quality broadcast television programs can be quickly and efficiently manufactured by using massive program materials, and the manufacturing efficiency of the broadcast television programs is improved.
Description
Technical Field
The invention relates to the technical field of multimedia services, in particular to an intelligent broadcast television program making method and device.
Background
At present, the broadcast television industry is deeply influenced and revolutionized by technologies such as cloud computing, big data, mobile internet and the like. On one hand, the deep integration of the media industry is promoted, and a plurality of broadcast television service modes are created; on the other hand, the efficiency of collecting and shooting the broadcast television programs is improved, and a large amount of program materials are generated.
At present, a program making method which can make full use of massive program materials to quickly and efficiently make high-quality broadcast television programs so as to enrich traditional broadcast television services such as broadcast televisions, IP televisions, internet televisions, mobile televisions, internet videos and the like does not exist. The production efficiency of broadcast television programs is low.
Accordingly, the inventors have determined that there is a need for improvement in at least one of the problems of the prior art described above.
Disclosure of Invention
The invention aims to provide a new technical scheme for intelligently manufacturing broadcast television programs.
According to a first aspect of the present invention, there is provided an intelligent broadcast television programming method, the method comprising:
analyzing the acquired program script to obtain semantic information and semantic logical relationship information;
according to the semantic information, retrieving to obtain a plurality of program materials to be edited;
sequencing the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list;
synthesizing a plurality of program materials to be edited in the program material list to generate a broadcast television program;
and outputting the broadcast television program.
Optionally, the method further comprises:
and performing semantic error analysis on the broadcast television program, the semantic information and the semantic logic relationship information to determine semantic error information between the broadcast television program and the program script.
Optionally, the step of retrieving a plurality of program materials to be edited according to the semantic information includes:
retrieving and obtaining a plurality of program materials according to the semantic information; determining a plurality of program materials to be edited from the plurality of program materials according to the semantic error information; alternatively, the first and second electrodes may be,
and retrieving to obtain the plurality of program materials to be edited according to the semantic information and the semantic error information.
Optionally, the step of sequencing the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list includes:
and sequencing the plurality of program materials to be edited according to the semantic logical relationship information and the semantic error information to obtain the program material list.
Optionally, after the step of obtaining the program material list, the method further includes:
carrying out semantic analysis on a plurality of program materials to be edited in the program material list in sequence;
determining program segments with semantic relevance meeting a preset relevance threshold in the program materials to be edited according to the semantic error information;
correspondingly, the step of synthesizing a plurality of program materials to be edited in the program material list to generate a broadcast television program includes:
and synthesizing program segments with semantic relevance meeting the preset relevance threshold value in a plurality of program materials to be edited in the program material list to generate the broadcast television program.
Optionally, after the step of synthesizing a plurality of program materials to be edited in the program material list and generating a broadcast television program, the method further includes:
determining a semantic error value of the broadcast television program according to the semantic error information;
judging whether the semantic error value is lower than a preset semantic error threshold value or not;
if the semantic error value is not lower than the preset semantic error threshold, returning to the step of executing the step of retrieving and obtaining a plurality of program materials to be edited according to the semantic information;
and if the semantic error value is lower than the preset semantic error threshold value, outputting the broadcast television program.
According to a second aspect of the embodiments of the present invention, there is provided an intelligent broadcast television program making apparatus, the apparatus including:
the analysis module is used for analyzing the acquired program script to obtain semantic information and semantic logical relationship information;
the retrieval module is used for retrieving to obtain a plurality of program materials to be edited according to the semantic information;
the sequencing module is used for sequencing the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list;
the synthesis module is used for synthesizing a plurality of program materials to be edited in the program material list to generate a broadcast television program;
and the output module is used for outputting the broadcast television program.
Optionally, the apparatus further comprises:
and the analysis module is used for performing semantic error analysis on the broadcast television program, the semantic information and the semantic logical relationship information and determining semantic error information between the broadcast television program and the program script.
Optionally, the retrieving module is specifically configured to:
retrieving and obtaining a plurality of program materials according to the semantic information; determining a plurality of program materials to be edited from the plurality of program materials according to the semantic error information; alternatively, the first and second electrodes may be,
and retrieving to obtain the plurality of program materials to be edited according to the semantic information and the semantic error information.
Optionally, the sorting module is specifically configured to:
and sequencing the plurality of program materials to be edited according to the semantic logical relationship information and the semantic error information to obtain the program material list.
Optionally, the analysis module is further configured to: carrying out semantic analysis on a plurality of program materials to be edited in the program material list in sequence; determining program segments with semantic relevance meeting a preset relevance threshold in the program materials to be edited according to the semantic error information;
accordingly, the synthesis module is specifically configured to: and synthesizing program segments with semantic relevance meeting the preset relevance threshold value in a plurality of program materials to be edited in the program material list to generate the broadcast television program.
Optionally, the apparatus further comprises:
the judging module is used for determining the semantic error value of the broadcast television program according to the semantic error information; judging whether the semantic error value is lower than a preset semantic error threshold value or not; if the semantic error value is not lower than the preset semantic error threshold value, triggering the operation in the retrieval module; and if the semantic error value is lower than the preset semantic error threshold value, triggering the operation in the output module.
According to the embodiment of the invention, the high-quality broadcast television program can be quickly and efficiently manufactured by using massive program materials, and the manufacturing efficiency of the broadcast television program is improved.
Other features of the present invention and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 shows a schematic flow chart of an intelligent broadcast television programming method according to an embodiment of the invention.
Fig. 2 shows a schematic block diagram of an intelligent broadcast television programming apparatus according to an embodiment of the present invention.
Fig. 3 shows a schematic block diagram of an example according to an embodiment of the invention.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Various embodiments and examples according to the present invention are described below with reference to the accompanying drawings.
< method >
Fig. 1 shows a schematic flow chart of an intelligent broadcast television programming method according to an embodiment of the invention.
As shown in fig. 1, in step 1100, the acquired program script is analyzed to obtain semantic information and semantic logical relationship information.
The semantic information in the program script may include a program category, a program theme, a keyword, a related multimedia file, and the like, and the semantic logic relationship information in the program script is a logic sequence used for editing and synthesizing each program material when a program is synthesized, and the semantic logic relationship information may include, for example, a semantic logic sequence corresponding to the semantic information.
The program material is a material related to a program script for subsequent editing of a broadcast television program. The program material may include, for example, audio, video, short video, news, papers, books, advertisements, etc. material.
And 1300, sequencing the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list.
Further, in order to improve the quality of the broadcast television program, semantic error information may be generated for adjustment, and specifically, the method further includes: and performing semantic error analysis on the broadcast television program, the semantic information and the semantic logic relationship information to determine semantic error information between the broadcast television program and the program script.
In one example, the retrieved program material may be filter adjusted based on semantic error information. Optionally, in step 1200, a plurality of program materials may be obtained by searching according to the semantic information; and determining a plurality of program materials to be edited from the plurality of program materials according to the semantic error information. For example, 20 program materials are obtained by searching according to the semantic information, then the 20 program materials are screened according to the semantic error information, and 18 program materials are screened out from the 20 program materials and determined as the program materials to be edited.
Or, in the step 1200, the plurality of program materials to be edited may be directly retrieved according to the semantic information and the semantic error information. For example, according to the semantic information and the semantic error information, 18 program materials to be edited related to the program script are directly retrieved.
In yet another example, the ordering of the plurality of program material to be clipped may be adjusted based on semantic error information. Correspondingly, in the step 1300, the plurality of program materials to be edited may be sorted according to the semantic logical relationship information and the semantic error information, so as to obtain a program material list.
In another example, in order to further improve the relevance between the retrieved program material to be edited and the program script, in this example, after the program material list is obtained, semantic analysis may be performed on a plurality of program materials to be edited in the program material list in sequence; and determining program segments with semantic relevance meeting a preset relevance threshold in the program materials to be edited according to the semantic error information.
Correspondingly, in the step 1400, program segments with semantic relevance meeting the preset relevance threshold in the program materials to be edited in the program material list are synthesized, and the broadcast television program is generated.
In another example, after the step of generating the broadcast television program, a semantic error between the broadcast television program and the program script may be determined to determine whether to output the broadcast television program as a final program, so as to further improve the quality of the broadcast television program. Specifically, the semantic error value of the broadcast television program may be determined according to the semantic error information; judging whether the semantic error value is lower than a preset semantic error threshold value or not; if the semantic error value is not lower than the preset semantic error threshold, returning to step 1300 of retrieving and obtaining a plurality of program materials to be edited according to the semantic information; and if the semantic error value is lower than the preset semantic error threshold value, outputting the broadcast television program.
The method for making the intelligent broadcast television program of the embodiment obtains semantic information and semantic logical relationship information by analyzing a program script, retrieves a plurality of program materials to be edited according to the semantic information, sorts the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list, and generates and outputs the broadcast television program by synthesizing the plurality of program material lists to be edited in the program material list. The high-quality broadcast television program conforming to the program script is quickly and efficiently manufactured by utilizing massive program materials, the automatic generation of the broadcast television program is realized, and the manufacturing efficiency of the broadcast television program is improved.
< apparatus >
Fig. 2 shows a schematic block diagram of an intelligent broadcast television programming apparatus according to an embodiment of the present invention.
As shown in fig. 2, the intelligent broadcast television programming apparatus 2000 may include: the system comprises an analysis module 2100, a retrieval module 2200, a sorting module 2300, a synthesis module 2400 and an output module 2500.
The parsing module 2100 is configured to parse the obtained program script to obtain semantic information and semantic logical relationship information;
the retrieval module 2200 is configured to retrieve, according to the semantic information, a plurality of program materials to be edited;
the sorting module 2300 is configured to sort the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list;
a synthesizing module 2400, configured to synthesize a plurality of program materials to be edited in the program material list, and generate a broadcast television program;
and an output module 2500, configured to output the broadcast television program.
Further, the intelligent broadcast television program producing apparatus 2000 further includes: and the analysis module is used for performing semantic error analysis on the broadcast television program, the semantic information and the semantic logical relationship information and determining semantic error information between the broadcast television program and the program script.
The retrieving module 2200 is specifically configured to: retrieving and obtaining a plurality of program materials according to the semantic information; determining a plurality of program materials to be edited from the plurality of program materials according to the semantic error information; or, according to the semantic information and the semantic error information, retrieving to obtain the plurality of program materials to be edited.
The sorting module 2300 is specifically configured to: and sequencing the plurality of program materials to be edited according to the semantic logical relationship information and the semantic error information to obtain the program material list.
Further, the analysis module is further configured to: carrying out semantic analysis on a plurality of program materials to be edited in the program material list in sequence; determining program segments with semantic relevance meeting a preset relevance threshold in the program materials to be edited according to the semantic error information; accordingly, the synthesis module 2400 is specifically configured to: and synthesizing program segments with semantic relevance meeting the preset relevance threshold value in a plurality of program materials to be edited in the program material list to generate the broadcast television program.
Further, the intelligent broadcast television program production device further includes: the judging module is used for determining the semantic error value of the broadcast television program according to the semantic error information; judging whether the semantic error value is lower than a preset semantic error threshold value or not; if the semantic error value is not lower than the preset semantic error threshold, triggering the operation in the retrieval module 2200; if the semantic error value is lower than the preset semantic error threshold, the operation in the output module 2500 is triggered.
The intelligent broadcast television program production apparatus of this embodiment may be configured to implement the technical solution of the foregoing method embodiment, and the implementation principle and the technical effect are similar, which are not described herein again.
It will be appreciated by those skilled in the art that the intelligent broadcast television programming apparatus may be implemented in a variety of ways. For example, an intelligent broadcast television programming apparatus may be implemented by instructing a configuration processor. For example, the intelligent broadcast television programming apparatus may be implemented by storing instructions in ROM and reading the instructions from ROM into a programmable device when the device is activated. For example, the intelligent broadcast television programming apparatus may be consolidated into a dedicated device (e.g., ASIC). The intelligent broadcast television programming apparatus may be divided into separate units or they may be combined together. The intelligent broadcast television programming apparatus may be implemented by one of the various implementations described above, or may be implemented by a combination of two or more of the various implementations described above.
< example >
The following describes the operation flow of the intelligent broadcast television program making apparatus according to this embodiment with reference to fig. 3.
Fig. 3 shows a schematic block diagram of an example according to an embodiment of the invention.
As shown in fig. 3, the intelligent broadcast television program producing apparatus 3000 includes: the system comprises a text semantic extraction module 3100, a material retrieval module 3200, a material sorting module 3300, a material clipping module 3400, a semantic error analysis module 3500 and a program judgment module 3600.
In practical applications, the staff member inputs the program script into the text semantic extraction module 3100. The text semantic extraction module 3100 extracts semantic information and semantic logical relationship information in the program script, and inputs the semantic information and the semantic logical relationship information into the material retrieval module 3200 and the semantic error analysis module 3500.
The material retrieval module 3200 receives the semantic information and semantic logical relationship information input by the text semantic extraction module 3100 and the semantic error information transmitted by the semantic error analysis module 3500.
The material retrieval module 3200 performs program material retrieval according to the semantic information and the semantic error information to obtain a plurality of program materials to be edited. The material retrieval module 3200 transmits the retrieved multiple program materials to be edited and the semantic logical relationship information to the material sorting module 3300.
The material sorting module 3300 receives the multiple program materials to be edited and the semantic logical relationship information transmitted by the material retrieval module 3200, and receives the semantic error information transmitted by the semantic error analysis module 3500.
The material sorting module 3300 sorts the plurality of program materials to be edited according to the semantic logical relationship information and the semantic error information, and obtains a program material list. And passes the list of program materials to the material clipping module 3400.
The material clipping module 3400 receives the semantic error information delivered by the semantic error analysis module 3500 and the program material list delivered by the material sorting module 3300.
The material editing module 3400 performs semantic analysis on a plurality of program materials to be edited in the program material list in sequence, and determines program segments of which the semantic relevance meets a preset relevance threshold in the plurality of program materials to be edited according to the semantic error information.
The material clipping module 3400 synthesizes program segments of which the semantic relevance meets a preset relevance threshold value in a plurality of program materials to be clipped in the program material list to generate a broadcast television program. The material clipping module 3400 transmits the generated broadcast television program to the semantic error analysis module 3500 and the program decision module 3600.
The semantic error analysis module 3500 receives the broadcast television program transmitted by the material clipping module 3400, the semantic information transmitted by the text semantic extraction module 3100, and the semantic logical relationship information. And performing semantic error analysis on the broadcast television program, the semantic information and the semantic logic relationship information to determine semantic error information between the broadcast television program and the program script. The semantic error analysis module 3500 passes the semantic error information to the program decision module 3600.
The program decision module 3600 receives the semantic error information transmitted by the semantic error analysis module 3500 and the broadcast television program transmitted by the material editing module 3400. The program decision module 3600 determines a semantic error value of a broadcast television program according to the semantic error information; and judging whether the semantic error value is lower than a preset semantic error threshold value or not.
If the program decision module 3600 determines that the semantic error value is lower than the preset semantic error threshold, the broadcast television program is output. If the program decision module 3600 determines that the semantic error value is not lower than the preset semantic error threshold, it sends control information to the semantic error analysis module 3500, so that the semantic error analysis module 3500 transmits the semantic error information to the material retrieval module 3200, the material sorting module 3300, and the material editing module 3400 according to the control information, and triggers the operation of retrieving the program material in the material retrieval module 3200.
The intelligent broadcast television program making device provided by the embodiment can quickly and efficiently make high-quality broadcast television programs by using massive program materials, and improves the making efficiency of the broadcast television programs.
It is well known to those skilled in the art that with the development of electronic information technology such as large scale integrated circuit technology and the trend of software hardware, it has been difficult to clearly divide the software and hardware boundaries of a computer system. As any of the operations may be implemented in software or hardware. Execution of any of the instructions may be performed by hardware, as well as by software. Whether a hardware implementation or a software implementation is employed for a certain machine function depends on non-technical factors such as price, speed, reliability, storage capacity, change period, and the like. A software implementation and a hardware implementation are equivalent for the skilled person. The skilled person can choose software or hardware to implement the above described scheme as desired. Therefore, specific software or hardware is not limited herein.
The present invention may be an apparatus, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied therewith for causing a processor to implement various aspects of the present invention.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as punch cards or in-groove raised structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present invention may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the present invention are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the invention is defined by the appended claims.
Claims (12)
1. An intelligent broadcast television program production method, characterized by comprising:
analyzing the acquired program script to obtain semantic information and semantic logical relationship information;
according to the semantic information, retrieving to obtain a plurality of program materials to be edited;
sequencing the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list;
synthesizing a plurality of program materials to be edited in the program material list to generate a broadcast television program;
and outputting the broadcast television program.
2. The method of claim 1, further comprising:
and performing semantic error analysis on the broadcast television program, the semantic information and the semantic logic relationship information to determine semantic error information between the broadcast television program and the program script.
3. The method according to claim 2, wherein said step of retrieving a plurality of program material to be edited based on said semantic information comprises:
retrieving and obtaining a plurality of program materials according to the semantic information; determining a plurality of program materials to be edited from the plurality of program materials according to the semantic error information; alternatively, the first and second electrodes may be,
and retrieving to obtain the plurality of program materials to be edited according to the semantic information and the semantic error information.
4. The method according to claim 2, wherein the step of sorting the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list comprises:
and sequencing the plurality of program materials to be edited according to the semantic logical relationship information and the semantic error information to obtain the program material list.
5. The method of claim 2, wherein after the step of obtaining the list of program materials, the method further comprises:
carrying out semantic analysis on a plurality of program materials to be edited in the program material list in sequence;
determining program segments with semantic relevance meeting a preset relevance threshold in the program materials to be edited according to the semantic error information;
correspondingly, the step of synthesizing a plurality of program materials to be edited in the program material list to generate a broadcast program includes:
and synthesizing program segments with semantic relevance meeting the preset relevance threshold value in a plurality of program materials to be edited in the program material list to generate the broadcast television program.
6. The method of claim 2, wherein after the step of synthesizing the plurality of program materials to be edited in the program material list to generate the broadcast television program, the method further comprises:
determining a semantic error value of the broadcast television program according to the semantic error information;
judging whether the semantic error value is lower than a preset semantic error threshold value or not;
if the semantic error value is not lower than the preset semantic error threshold, returning to the step of executing the step of retrieving and obtaining a plurality of program materials to be edited according to the semantic information;
and if the semantic error value is lower than the preset semantic error threshold value, outputting the broadcast television program.
7. An intelligent broadcast television program production apparatus, characterized in that the apparatus comprises:
the analysis module is used for analyzing the acquired program script to obtain semantic information and semantic logical relationship information;
the retrieval module is used for retrieving to obtain a plurality of program materials to be edited according to the semantic information;
the sequencing module is used for sequencing the plurality of program materials to be edited according to the semantic logical relationship information to obtain a program material list;
the synthesis module is used for synthesizing a plurality of program materials to be edited in the program material list to generate a broadcast television program;
and the output module is used for outputting the broadcast television program.
8. The apparatus of claim 7, further comprising:
and the analysis module is used for performing semantic error analysis on the broadcast television program, the semantic information and the semantic logical relationship information and determining semantic error information between the broadcast television program and the program script.
9. The apparatus of claim 8, wherein the retrieval module is specifically configured to:
retrieving and obtaining a plurality of program materials according to the semantic information; determining a plurality of program materials to be edited from the plurality of program materials according to the semantic error information; alternatively, the first and second liquid crystal display panels may be,
and retrieving to obtain the plurality of program materials to be edited according to the semantic information and the semantic error information.
10. The apparatus of claim 8, wherein the ordering module is specifically configured to:
and sequencing the plurality of program materials to be edited according to the semantic logical relationship information and the semantic error information to obtain the program material list.
11. The apparatus of claim 8, wherein the analysis module is further configured to: carrying out semantic analysis on a plurality of program materials to be edited in the program material list in sequence; determining program segments with semantic relevance meeting a preset relevance threshold in the program materials to be edited according to the semantic error information;
accordingly, the synthesis module is specifically configured to: and synthesizing program segments with semantic relevance meeting the preset relevance threshold value in a plurality of program materials to be edited in the program material list to generate the broadcast television program.
12. The apparatus of claim 8, further comprising:
the judging module is used for determining the semantic error value of the broadcast television program according to the semantic error information; judging whether the semantic error value is lower than a preset semantic error threshold value or not; if the semantic error value is not lower than the preset semantic error threshold value, triggering the operation in the retrieval module; and if the semantic error value is lower than the preset semantic error threshold value, triggering the operation in the output module.
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