Automatic endowing management method and system for field lens time information of shooting material

Abstract

The invention discloses an automatic endowing management method and system for field lens information of shooting materials, and relates to the technical field of theater shooting management, and the method comprises the steps: carrying out the time code synchronization of a video shooting device and an audio recording device at a shooting site, and an electronic field recording device for generating a field lens signaling; generating a digital signaling containing field lens time information and a high-precision time code, and sending the signaling to a cloud or a local processing system; uploading the video material and / or the audio material containing the embedded time code; automatically endowing the matched material with the corresponding field mirror time information by matching the time code in the digital signaling with the time code embedded in the material; and binding and storing the successfully matched field lens secondary information serving as metadata and the corresponding material file. The method has the advantages that by introducing an active signaling mechanism based on time code synchronization and a multi-dimensional matching strategy, the full-process automation of field lens information from generation, endowing to management is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of crew shooting management, and particularly relates to a shooting material scene shot information automatic assignment management method and system. BACKGROUND

[0002] In the shooting and production process of professional video contents such as films and television series, advertisements and the like, efficient and accurate management of a large amount of shooting materials is the cornerstone for the smooth progress of the post-production process. The traditional management method highly depends on the manual recording of the "scene", "shot" and "take" information of each shot by the scene recording personnel, and after shooting, the information on the scene recording sheet or physical scene recording board is checked through playing back the materials, and the metadata description is manually added to the video file. This method is not only extremely inefficient, but also seriously slows down the shooting progress, and is more likely to cause information recording errors, omissions or matching confusion due to human negligence, which brings great difficulties to the subsequent material retrieval, sorting and editing work, and even may cause irreparable shooting losses.

[0003] In order to improve the efficiency, some automatic schemes based on computer vision have appeared in the industry, for example, the physical scene recording board in the video stream is automatically detected through image recognition technology, and the scene shot take information on the board is extracted by using optical character recognition technology. However, this kind of method is greatly affected by factors such as light, angle, shielding of the shooting environment, and the recognition accuracy and reliability are difficult to guarantee, especially in multi-camera, fast continuous shooting or complex scenes. In addition, the existing technology lacks effective support for modern shooting processes, cannot solve the conflict problem of different shooting units producing different scene shot take information at the same time code, and the degree of intelligence and automation is insufficient, and has not been able to fundamentally replace manual work to realize the integrated and high-reliability automatic process of scene shot take information from generation to assignment to management. SUMMARY

[0004] In order to solve the above technical problems, a shooting material scene shot take information automatic assignment management method and system are provided, which solve at least one of the technical problems mentioned in the background.

[0005] In order to achieve the above purposes, the technical scheme adopted by the present application is:

[0006] A shooting material scene shot take information automatic assignment management method, comprising:

[0007] S1, time code synchronization: before shooting, the video shooting equipment, audio recording equipment and electronic scene recording equipment for generating scene shot take signaling in the shooting site are time code synchronized;

[0008] S2, signaling generation and sending: when a shot is taken, the electronic clapper device generates digital signaling containing scene shot information and high-precision time code, and sends the signaling to the cloud or local processing system;

[0009] S3, material uploading: upload video material and / or audio material containing embedded time code to the cloud or local processing system;

[0010] S4, signaling and material matching: after the cloud or local processing system receives the digital signaling and the material, the corresponding scene shot information is automatically assigned to the matched material by matching the time code in the digital signaling with the embedded time code in the material;

[0011] S5, metadata binding: the matched scene shot information is bound and stored as metadata with the corresponding material file.

[0012] Preferably, the electronic clapper device in step S2 specifically includes one or more of an electronic clapper board or a mobile terminal running a clapper application;

[0013] The digital signaling further includes at least one of the following information: project identification, shooting group identification, expected shooting device identification, geographic location information, and clapper note information.

[0014] Preferably, after the cloud or local processing system receives the digital signaling and the material, the corresponding scene shot information is automatically assigned to the matched material by matching the time code in the digital signaling with the embedded time code in the material, specifically including:

[0015] S41, the system receives and stores the digital signaling from the electronic clapper device to form a signaling database;

[0016] S42, the system extracts the time code information embedded in the uploaded material file;

[0017] S43, the matching engine compares the signaling time code in the signaling database with the time code of the material;

[0018] S44, when the signaling time point is within the time code range of a certain material, it is determined that the signaling and the material are preliminarily matched;

[0019] S45, if there is only one preliminarily matched material, the scene shot information corresponding to the signaling time code is automatically assigned to the matched material, and if there are two or more preliminarily matched materials, a multi-dimensional matching strategy is adopted.

[0020] Preferably, the multi-dimensional matching strategy specifically includes:

[0021] S45a, device identification matching: preferentially matching the expected shooting device identification specified in the signaling with the source device identification of the material file;

[0022] S45b, shooting group matching: if the signaling does not specify the device identification but contains the shooting group identification, matching the shooting group identification of the signaling with the shooting group information marked by the material file;

[0023] S45c, geo-fence matching: calculating the distance between the geographic location information contained in the signaling and the geographic location information recorded by the material file, and if the distance is less than a set threshold, it is used as a matching basis;

[0024] S45d, audio fingerprint matching: extracting the reference environmental audio features at the time when the signaling is sent, and comparing the audio features at the same time of the candidate material to obtain the similarity as the matching basis;

[0025] S45e, file name matching: the scripter inputs the file name of the movie camera into the electronic script device, and the file name of the movie camera is uploaded to the cloud or local processing system at the time of the board, and the long file name of the material file is extracted and fuzzy matched with the file name of the movie camera recorded by the script.

[0026] The matching engine determines the final signaling-material matching relationship based on the matching results of one or more dimensions, and automatically assigns the field mirror information corresponding to the signaling time code to the matched material.

[0027] Preferably, the cloud or local processing system receives the digital signaling and the material, and automatically assigns the corresponding field mirror information to the matched material by matching the time code in the digital signaling with the time code embedded in the material, which further includes a conflict arbitration strategy, and the conflict arbitration strategy is specifically:

[0028] When there are two or more preliminary matched materials, and the multi-dimensional matching strategy still cannot uniquely determine the matching relationship, or the matching confidence is lower than a set threshold, the conflict arbitration mechanism is triggered;

[0029] Sending an arbitration request to the user terminal and providing all the preliminary matched materials as a candidate matching list for the user to manually select and confirm.

[0030] Preferably, the method further includes a matching real-time feedback mechanism, which specifically includes:

[0031] When the field mirror information is successfully assigned to the material, the system sends a matching success notification to the electronic script device or the designated on-site workstation, and if the set confirmation duration content does not modify or click to confirm the matching success notification, the matching successful field mirror information and the material are stored.

[0032] Preferably, the method further comprises a degradation process, which specifically comprises:

[0033] When no digital signaling sent by the electronic clapperboard is received, the system automatically activates a degradation scheme, which comprises:

[0034] Through computer vision analysis of video materials, physical clapperboard images are detected and recognized;

[0035] Through optical character recognition technology, clapper information is extracted from the recognized clapperboard images;

[0036] The extracted clapper information is assigned to the corresponding video materials.

[0037] Further, an automatic clapper information assignment management system for shooting materials is proposed, which is used to implement the automatic clapper information assignment management method for shooting materials as described above, comprising:

[0038] An electronic clapperboard is used to generate and send digital signaling containing clapper information and time code;

[0039] A signaling receiving module is used to receive and store digital signaling from the electronic clapperboard;

[0040] A material uploading module is used to receive and upload video and audio materials containing time code;

[0041] A time code extraction module is used to extract time code information from the uploaded materials;

[0042] A matching engine is used to match the time code of the signaling with the time code of the materials, and execute a multi-dimensional matching strategy;

[0043] A metadata management module is used to bind and store the clapper information matched successfully as metadata with the material file;

[0044] A user interaction interface is used to display the matching results, provide conflict arbitration and manual correction functions.

[0045] Optionally, the system further comprises:

[0046] A real-time feedback module is used to send a notification to the on-site device after successful matching;

[0047] A degradation processing module is used to extract clapper information from the materials through computer vision and optical character recognition technology when there is no digital signaling.

[0048] Compared with the prior art, the present application has the following advantages:

[0049] The application realizes the full-process automation of the scene mirror information from generation, assignment to management by introducing the active signaling mechanism based on time code synchronization and the multi-dimensional matching strategy, and remarkable beneficial effects are achieved: first, the inefficient and error-prone manual recording and input are fundamentally abandoned, the scene recording personnel are liberated from heavy labor, and the shooting efficiency is significantly improved; second, through the accurate matching of electronic signaling and embedded time code, the disadvantages of the traditional visual recognition technology restricted by the environment are overcome, the accuracy of information assignment is improved to nearly 100%, and the post-production risk caused by information mismatch is greatly reduced; third, the unique multi-dimensional matching strategy and conflict arbitration mechanism effectively solve the industry problem of time code conflict in multiple parallel shooting scenes, and ensure the system reliability and data consistency in complex production environments; fourth, the system realizes the real-time binding and feedback of scene mirror information and materials, forms a closed-loop management of "shooting-marking-verification", provides a solid data foundation for subsequent intelligent rough cutting, material retrieval and other applications, and comprehensively promotes the intelligentization and standardization of the film and television production process. BRIEF DESCRIPTION OF DRAWINGS

[0050] Figure 1 The shooting material scene mirror information automatic assignment management method flowchart is provided for the application;

[0051] Figure 2 The shooting material scene mirror information automatic assignment management method flowchart is provided for the application;

[0052] Figure 3 The shooting material scene mirror information automatic assignment management method flowchart is provided for the application; DETAILED DESCRIPTION

[0053] The following description is used to disclose the application so that those skilled in the art can implement the application. The preferred embodiments in the following description are only as examples, and other obvious modifications can be thought of by those skilled in the art.

[0054] Referring to Figure 1 The shooting material scene mirror information automatic assignment management method flowchart is provided for the application;

[0055] S1, time code synchronization: before shooting, the video shooting equipment, audio recording equipment and electronic scene recording equipment for generating scene mirror signaling in the shooting site are time code synchronized, a professional time code generator or a designated host is used as a time code source to ensure that the time codes of all equipment are completely consistent, providing a necessary prerequisite for subsequent accurate matching based on time code, and effectively avoiding matching errors caused by different time codes between equipment;

[0056] S2. Signaling Generation and Transmission: When a shot is filmed, the electronic clapperboard generates digital signaling containing shot sequence information and high-precision timecode, and sends this signaling to the cloud or local processing system, transforming the clapperboard operation from passive manual recording to active digital signaling transmission. The electronic clapperboard (such as a dedicated app or hardware) records precise time and shot sequence information at the moment of filming and transmits it in real time via a wireless network, providing a structured, machine-readable data source for automated processing, which is key to achieving efficient automation.

[0057] S3. Material Upload: Upload video and / or audio materials containing embedded timecodes to the cloud or local processing system, digitizing and centrally managing the captured physical materials (video and audio files). The timecode embedded in the material files enables them to be associated with the signaling issued in step S2, and uploading to the unified platform provides a data foundation for subsequent automated processing;

[0058] S4. Signaling and Footage Matching: After receiving the digital signaling and the footage, the cloud or local processing system automatically assigns the corresponding scene / shot information to the matching footage by matching the timecode in the digital signaling with the timecode embedded in the footage. By comparing the signaling timecode and the footage timecode, an association is automatically established, achieving accurate and batch assignment of scene / shot information. This replaces the cumbersome process of traditional manual playback, viewing, and data entry, greatly improving efficiency and accuracy, and can be extended to handle complex situations involving multi-dimensional information such as device ID and GPS.

[0059] S5. Metadata Binding: Successfully matched scene / shot information is bound and stored as metadata to the corresponding source file, persisting the matching results. Scene / shot information is written as standard metadata (such as XMP) into the file itself or the associated .car file, making this information recognizable and usable in all subsequent stages such as editing, color grading, and asset management. This achieves information generation once and availability throughout the entire process, streamlining the pre- and post-production workflow.

[0060] Specifically, in step S2, the electronic staking device includes one or more of an electronic staking board or a mobile terminal running a staking application.

[0061] The digital signaling also includes at least one of the following: project identifier, shooting group identifier, expected shooting equipment identifier, geographical location information, and scene recorder notes.

[0062] By extending the specific form of electronic clapperboard equipment and the rich content of digital signaling, significant beneficial effects are brought about: on the one hand, by being compatible with professional electronic clapperboard and general mobile terminal (such as iPad with APP), not only the extreme requirements of large professional film crew for reliability are met, but also low-cost and high-flexibility solutions are provided for small and medium production, greatly improving the universality and application range of the system. On the other hand, in addition to the core scene mirror information and time code, key metadata such as project identifier, shooting group identifier, expected equipment identifier, and geographic position are supplemented, so that the context information contained in the signaling is extremely rich. This not only provides multiple and reliable judgment basis for subsequent accurate matching (especially when time code conflicts caused by multiple groups of parallel shooting), effectively preventing information mismatch, but also builds a complete digital clapperboard log, providing a solid data foundation for subsequent material retrieval, process collaboration, and even artificial intelligence-based automatic editing, and comprehensively improving the intelligent management level of the film and television production process.

[0063] Specifically, referring to Figure 2 The system receives the digital signaling and the material, and automatically assigns the corresponding scene mirror information to the matched material by matching the time code in the digital signaling with the time code embedded in the material, specifically comprising:

[0064] S41, the system receives and stores the digital signaling from the electronic clapperboard equipment to form a signaling database;

[0065] S42, the system extracts the time code information embedded in the uploaded material file;

[0066] S43, the matching engine compares the signaling time code in the signaling database with the time code of the material;

[0067] S44, when the signaling time point is located in the time code range of a certain material, it is determined that the signaling and the material are preliminarily matched;

[0068] S45, if the preliminarily matched material is only one, the scene mirror information corresponding to the signaling time code is automatically assigned to the matched material, and if the preliminarily matched material is two or more, a multi-dimensional matching strategy is adopted.

[0069] The multi-dimensional matching strategy specifically comprises:

[0070] S45a, equipment identifier matching: preferentially matching the expected shooting equipment identifier specified in the signaling with the source equipment identifier of the material file;

[0071] S45b, shooting group matching: if the signaling does not specify the equipment identifier but contains the shooting group identifier, matching the shooting group identifier of the signaling with the shooting group information marked in the material file;

[0072] S45c, Geo-fence matching: calculate the distance between the geo-location information contained in the signaling and the geo-location information recorded in the material file, if the distance is less than a set threshold, then as a matching basis;

[0073] S45d, Audio fingerprint matching: extract the reference ambient audio features at the time of signaling, and compare with the audio features at the same time of the candidate material, to similarity as a matching basis;

[0074] S45e, File name matching: the scripter inputs the file name of the movie machine into the electronic script device, and the file name of the movie machine is uploaded to the cloud or local processing system at the time of the board, and the long file name of the material file is extracted and fuzzy matched with the file name of the movie machine recorded by the script.

[0075] The matching engine determines the final signaling-material matching relationship according to the matching results of one or more dimensions, and automatically assigns the shot information corresponding to the signaling time code to the matched material.

[0076] A progressive matching logic from "preliminary screening" to "accurate matching" is constructed. It first performs fast and large-scale preliminary association through the global index of time code, efficiently narrowing down the candidate range. When a time code signaling may correspond to multiple materials due to multiple parallel shooting lines of the crew, the system does not simply report an error or randomly select, but intelligently starts a multi-dimensional matching strategy with clear priority. The strategy uses the dimensions of device identification, shooting group, geographic location, audio features, and movie machine file name in order, from high to low in credibility and from low to high in processing cost, forming an efficient decision tree. Therefore, in a complex multi-machine group and multi-device parallel shooting environment, it can still accurately determine the unique signaling-material correspondence, ensuring the reliability of the automatic assignment result.

[0077] The progressive and multi-dimensional matching mechanism brings significant benefits: first, through the two-stage processing of "time code preliminary matching + multi-dimensional strategy screening", it greatly improves the matching accuracy while ensuring processing efficiency, effectively solves the time code conflict problem caused by multi-line shooting in modern film and television production, and realizes precise management in complex scenes. Second, the strategy has high intelligence and adaptability. Its multi-dimensional design enables it to flexibly respond to various on-site situations (such as missing device identification and weak GPS signal), and through complementary verification of different dimensional information, it ensures that the optimal or most likely matching result can be given in any situation, thereby expanding the application range of automatic shot assignment from ideal single-line shooting to real and complex production environments, greatly improving the practical value and robustness of the system.

[0078] Specifically, refer to Figure 3As shown, after receiving the digital signaling and the material, the cloud or local processing system automatically assigns the corresponding shot information to the matched material by matching the time code in the digital signaling with the embedded time code in the material. The conflict arbitration strategy specifically includes:

[0079] When there are two or more preliminary matched materials, and the multi-dimensional matching strategy still cannot uniquely determine the matching relationship, or the matching confidence is lower than the set threshold, the conflict arbitration mechanism is triggered.

[0080] The arbitration request is sent to the user terminal, and all preliminary matched materials are provided as a candidate matching list for the user to manually select and confirm.

[0081] The introduction of the conflict arbitration strategy sets a key artificial intelligence review link for the fully automatic matching process. It clearly defines the precise conditions for arbitration triggering (unable to uniquely match or insufficient confidence), ensuring that the system remains highly automated in most clear scenarios and only intervenes in human judgment in truly complex and ambiguous boundary situations. By sending a clear arbitration request and candidate list to the user terminal (such as the scriptwriter's tablet or DIT workstation), it returns the final decision-making power to the staff who best understand the on-site situation, thereby combining the high-speed processing power of the automated system with the contextual understanding and judgment ability of human experts, forming a hybrid intelligent decision-making loop with efficiency and reliability.

[0082] The conflict arbitration mechanism greatly enhances the fault tolerance and practicality of the entire management system, ensuring that in extremely complex shooting scenarios, the system will not produce incorrect matching results, but will ensure the accuracy of the final data through soliciting human intervention, thereby building user trust in the automated system. This design skillfully balances between "full automation efficiency" and "absolute reliability of results", maximizing overall process efficiency while reducing the uncertainty risk of automated systems to zero, fundamentally solving the last trust barrier for full automation systems in real industrial environments, enabling the management system to be applied stably to various high-demand, high-value professional film and television production projects.

[0083] In some preferred embodiments, the shot information automatic assignment management method for shooting materials also includes a matching real-time feedback mechanism, which specifically includes:

[0084] After the shot information is successfully assigned to the material, the system sends a matching success notification to the electronic scriptwriter device or designated on-site workstation. If the set confirmation duration content does not make modifications or click confirmations to the matching success notification, the matching successful shot information and material are stored.

[0085] The real-time feedback mechanism forms a complete "execution-feedback-confirmation" closed loop in design. It does not simply end the process after matching is completed, but actively pushes the results to the most relevant electronic clapper device or workstation on site, providing key status awareness for on-site staff. The mechanism of setting confirmation duration embodies an efficient timeout confirmation principle, giving on-site personnel sufficient review time (such as a few minutes), while avoiding indefinite blocking of the process due to waiting for confirmation, ensuring that the system can automatically proceed to the storage stage after obtaining manual confirmation or default confirmation, balancing the flexibility of operation and the continuity of the process, greatly improving the transparency and controllability of the on-site workflow, allowing clapper, DIT and other personnel to verify the accuracy of automated work in real time, and correct errors as soon as possible, effectively avoiding the risk of cascading caused by the flow of incorrect data into the post-production link. Secondly, this "notification-silent confirmation" mode introduces necessary human supervision while minimizing interference with automation efficiency, establishing a key defense line to prevent the sedimentation of incorrect data and ensuring the efficient operation of the entire material processing process, thereby further enhancing the practicality and user trust of the entire system on the basis of improving management reliability.

[0086] In some preferred embodiments, the method for automatically assigning shot information of photographed materials further includes a downgrade process, which specifically includes:

[0087] When no digital signaling is received from the electronic clapper device, the system automatically activates a downgrade scheme, which includes:

[0088] Detect and recognize the physical clapperboard image by computer vision analysis of the video material;

[0089] Extract the shot information from the recognized clapperboard image by optical character recognition technology;

[0090] Assign the extracted shot information to the corresponding video material.

[0091] The degradation processing scheme embodies the inclusive design of various abnormal situations in the real working environment. It anticipates scenarios such as possible failures of electronic devices (e.g., power failure, network interruption, device damage) or the continuation of traditional shooting habits (e.g., still using physical clapperboards). When the main flow relies on digital signaling, the system does not fail or abort with an error, but seamlessly and automatically switches to a backup analysis process based on computer vision and OCR technology. This design ensures that the core automation function can still work continuously when the main path is unavailable, making the entire system flexible and adaptable to various production environments from the most advanced to the relatively traditional, greatly enhancing its applicability and resilience, and greatly improving the robustness and business continuity of the entire management system. This means that even in unexpected situations where some technical conditions are not met, the core automation value of the system can still be preserved, avoiding the collapse of the entire automation process due to the failure of a single link (electronic signaling), and ensuring the smooth operation of the shooting site workflow. In addition, this mechanism makes the system compatible with new and old technologies, allowing it to fully utilize the efficiency and accuracy of digital signaling while remaining usable when dealing with traditional physical clapperboards, effectively reducing the barriers and costs of technology upgrades, removing obstacles to the promotion and application of the system in production teams of all sizes and different technical levels, and significantly enhancing the practical value and market adaptability of the invention.

[0092] Further, based on the same inventive concept as the above-mentioned automatic assignment of scene and take information for shooting materials, the present scheme also proposes an automatic assignment of scene and take information for shooting materials management system, comprising:

[0093] An electronic clapperboard device for generating and sending digital signaling containing scene and take information and time code;

[0094] A signaling receiving module for receiving and storing digital signaling from the electronic clapperboard device;

[0095] A material uploading module for receiving and uploading video and audio materials containing time code;

[0096] A time code extraction module for extracting time code information from uploaded materials;

[0097] A matching engine for matching the time code of the signaling with the time code of the materials and executing a multi-dimensional matching strategy;

[0098] A metadata management module for binding and storing the matched scene and take information as metadata with the material file;

[0099] A user interaction interface for displaying matching results, providing conflict arbitration and manual correction functions.

[0100] In some preferred embodiments, the shooting material scene information automatic assignment management system further comprises:

[0101] A real-time feedback module for sending a notification to the on-site device after a successful match.

[0102] A degradation processing module for extracting scene information from the material through computer vision and optical character recognition technology when there is no digital signaling.

[0103] In summary, the advantages of the present application are as follows: by introducing a time code synchronization-based active signaling mechanism and a multi-dimensional matching strategy, the full-process automation of scene information from generation, assignment to management is realized, and significant benefits are achieved: first, the inefficient and error-prone manual recording and input are fundamentally abandoned, the scripter is liberated from heavy labor, and the shooting efficiency is significantly improved; second, through the precise matching of electronic signaling and embedded time code, the drawbacks of traditional visual recognition technology are overcome, the accuracy of information assignment is improved to nearly 100%, and the risk of post-production caused by information mismatch is greatly reduced; third, the unique multi-dimensional matching strategy and conflict arbitration mechanism effectively solve the industry problem of time code conflict in multiple parallel shooting scenes, ensuring the system reliability and data consistency in complex production environments; fourth, the system realizes real-time binding and feedback of scene information and material, forming a closed-loop management of "shooting-marking-verification", providing a solid data foundation for subsequent intelligent rough cut, material retrieval and other applications, and fully promoting the intelligentization and standardization of the film and television production process.

[0104] The basic principles, main features and advantages of the present application are shown and described above. Those skilled in the art should understand that the present application is not limited by the above examples, and the above examples and descriptions in the specification are only the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection claimed by the present application is defined by the appended claims and their equivalents.

Claims

1. A method of automatically assigning and managing shot information of a shooting material, characterized by, The application relates to a method for automatically matching scene and take information with video and / or audio materials, comprising the following steps: S1, time code synchronization: before shooting, time code synchronization is performed on a video shooting device, an audio recording device and an electronic clapper device used for generating scene and take signaling in a shooting site; S2, signaling generation and sending: when a shot is taken, the electronic clapper device generates digital signaling containing scene and take information and high-precision time code, and sends the signaling to a cloud or a local processing system; S3, material uploading: video and / or audio materials containing embedded time code are uploaded to the cloud or the local processing system; S4, signaling and material matching: after the cloud or the local processing system receives the digital signaling and the materials, corresponding scene and take information is automatically assigned to the matched materials by matching the time code in the digital signaling with the embedded time code in the materials; S5, metadata binding: the matched scene and take information is bound to the corresponding material file as metadata and stored.

2. The automatic management method of the field lens information of the photographic material according to claim 1, characterized in that, The electronic clapper device in the step S2 specifically comprises one or more of an electronic clapper board or a mobile terminal running a clapper application; The digital signaling further comprises at least one of the following information: project identification, shooting group identification, expected shooting device identification, geographic location information and clapper note information.

3. The automatic management method of the field lens information of the shot material according to claim 2, characterized in that, After the cloud or the local processing system receives the digital signaling and the materials, corresponding scene and take information is automatically assigned to the matched materials by matching the time code in the digital signaling with the embedded time code in the materials, specifically comprising the following steps: S41, the system receives and stores the digital signaling from the electronic clapper device to form a signaling database; S42, the system extracts the time code information embedded in the uploaded material file; S43, the matching engine compares the signaling time code in the signaling database with the time code of the material; S44, when the signaling time point is located in the time code range of a certain material, it is determined that the signaling and the material are preliminarily matched; S45, if there is only one preliminarily matched material, the scene and take information corresponding to the signaling time code is automatically assigned to the matched material, and if there are two or more preliminarily matched materials, a multi-dimensional matching strategy is adopted.

4. The automatic management method of the field lens information of the shot material according to claim 3, characterized in that, The multi-dimensional matching strategy specifically comprises: S45a, device identification matching: the expected shooting device identification in the signaling is preferentially matched with the source device identification of the material file; S45b, shooting group matching: if the signaling does not specify the device identification but contains the shooting group identification, the shooting group identification of the signaling is matched with the shooting group information marked in the material file; S45c, geographic fence matching: the distance between the geographic location information contained in the signaling and the geographic location information recorded in the material file is calculated, and if the distance is less than a set threshold, the distance is used as a matching basis; S45d, audio fingerprint matching: the reference ambient audio features at the time when the signaling is sent are extracted and compared with the audio features at the same time of the candidate material, and the similarity is used as a matching basis; S45e, file name matching: the clapper loader inputs the file name of the film camera into the electronic clapper device, and the file name of the film camera is uploaded to the cloud or local processing system when the board is punched, and the long file name of the material file is matched with the file name of the film camera recorded by the clapper. The matching engine determines the final signaling-material matching relationship according to the matching results of one or more dimensions, and automatically assigns the shot information corresponding to the signaling time code to the matched material.

5. The automatic management method of the field lens information of the photographic material according to claim 4, characterized in that, After the cloud or local processing system receives the digital signaling and the material, the shot information corresponding to the matched material is automatically assigned by matching the time code in the digital signaling with the time code embedded in the material, which also includes a conflict arbitration strategy. The conflict arbitration strategy is specifically: When there are two or more preliminary matched materials, and the multi-dimensional matching strategy still cannot uniquely determine the matching relationship, or the matching confidence is lower than the set threshold, the conflict arbitration mechanism is triggered; Send an arbitration request to the user terminal and provide all the preliminary matched materials as a candidate matching list for the user to manually select and confirm.

6. The automatic management method of field lens information of a shooting material according to claim 1, characterized in that, It also includes a matching real-time feedback mechanism, which specifically includes: After the shot information is successfully assigned to the material, the system sends a matching success notification to the electronic clapper device or the designated on-site workstation. If the set confirmation duration content has not been modified or clicked to confirm the matching success notification, the matching successful shot information and the material will be stored.

7. The automatic management method of field lens information of a shooting material according to claim 1, characterized in that, It also includes a degradation process, which specifically includes: When the digital signaling sent by the electronic clapper device is not received, the system automatically enables a degradation scheme, which includes: Detect and recognize physical clapperboard images by computer vision analysis of video materials; Extract shot information from the recognized clapperboard image by optical character recognition technology; Assign the extracted shot information to the corresponding video material.

8. An automatic management system of shot information of a shooting material, characterized by comprising: a shot information automatic assignment unit that automatically assigns shot information to a shooting material based on a shooting script. A method for automatically assigning shot information of photographed materials as claimed in any one of claims 1-7, comprising: An electronic clapper device for generating and sending digital signaling containing shot information and time code; A signaling receiving module for receiving and storing digital signaling from the electronic clapper device; A material uploading module for receiving and uploading video and audio materials containing time code; A time code extraction module for extracting time code information from uploaded materials; A matching engine for matching the time code of the signaling with the time code of the material, and executing a multi-dimensional matching strategy; A metadata management module for binding and storing the matching successful shot information as metadata with the material file; A user interaction interface for displaying matching results, providing conflict arbitration and manual correction functions.

9. The automatic management system of the field lens information of the shot material according to claim 8, characterized in that, It also includes: A real-time feedback module for sending a notification to the on-site device after a successful match; A degradation processing module for extracting shot information from materials by computer vision and optical character recognition technology when there is no digital signaling.

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