CN113573099A - Intelligent processing system for underground propaganda film shooting effect - Google Patents
Intelligent processing system for underground propaganda film shooting effect Download PDFInfo
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- 238000004519 manufacturing process Methods 0.000 claims description 19
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- 239000012634 fragment Substances 0.000 claims description 6
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- 238000004458 analytical method Methods 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
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- 230000003014 reinforcing effect Effects 0.000 claims 1
- 230000004888 barrier function Effects 0.000 abstract 2
- 238000005457 optimization Methods 0.000 description 4
- 230000002708 enhancing effect Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 230000000977 initiatory effect Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
- H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
- H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
- H04N21/234363—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements by altering the spatial resolution, e.g. for clients with a lower screen resolution
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/27—Server based end-user applications
- H04N21/274—Storing end-user multimedia data in response to end-user request, e.g. network recorder
- H04N21/2743—Video hosting of uploaded data from client
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/472—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content
- H04N21/47202—End-user interface for requesting content, additional data or services; End-user interface for interacting with content, e.g. for content reservation or setting reminders, for requesting event notification, for manipulating displayed content for requesting content on demand, e.g. video on demand
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Abstract
The invention discloses an intelligent processing system for the shooting effect of a native propaganda film, which has the technical scheme key points that: the system comprises a central management system, wherein the central management system is connected with a personnel authentication module, the central management system is connected with a resource server, the central management system is connected with a personal terminal, the personnel authentication module logs in the personal terminal after authentication and acquires resources from the resource server, the central management system is connected with an exchange module, the exchange module is used for mutual exchange between individuals authenticated by the personal terminal, the central management system is connected with a program writing module, individuals authenticated by the personal terminal write and develop programs in the program writing module, and the central management system is connected with a program checking module; the intelligent processing system for the shooting effect of the real estate promo films has the advantages of no barrier to communication and no barrier to management.
Description
Technical Field
The invention relates to the field of video processing, in particular to an intelligent processing system for the shooting effect of a native publicity film.
Background
Real estate companies often take property trailers for building promotion, and process optimization is required after the property trailer is taken.
Chinese patent with publication number CN107590828B discloses a blurring processing method and device for shot images, wherein the method includes: projecting a structural light source to a foreground area of the preview image, and shooting a structural light image of the structural light source modulated by the foreground area; demodulating a phase corresponding to a deformed position pixel in the structured light image, and generating first depth-of-field information of a foreground area according to the phase; generating irrelevant person 3D information in the foreground area according to the first depth of field information, and determining a target area corresponding to the irrelevant person according to the irrelevant person 3D information; and deleting irrelevant people, and blurring the background area and the target area corresponding to the irrelevant people.
The blurring processing method and device for the shot image have the following disadvantages, such as: transcoding and video editing cannot be achieved, videos cannot be uploaded to a processor for processing optimization, and cloud delivery cannot be achieved.
Disclosure of Invention
In view of the problems mentioned in the background art, the invention aims to provide an intelligent processing system for the underground propaganda film shooting effect, so as to solve the problems mentioned in the background art.
The technical purpose of the invention is realized by the following technical scheme:
an intelligent processing system for the shooting effect of a native publicity film comprises a microprocessor, wherein the microprocessor is connected with a creation transcoding preprocessing module, the creation transcoding preprocessing module is connected with a creation transcoding module, the creation transcoding module is connected with a release module, the microprocessor is connected with an end-side production module, the end-side production module comprises a shooting unit, an uploading SDK unit and an enhancing editing unit, the end-side production module is connected with a cloud production module, the cloud production module comprises an uploading service unit, a video processing system and an auditing unit, the uploading service unit is connected with the video processing system, the auditing unit is connected with the video processing system and the uploading service unit, the video processing system is connected with a cloud issuing module, the cloud issuing module comprises an on-demand service unit and a CND unit, the CND unit is connected with a playing SDK unit.
Preferably, the microprocessor is connected with a video source unit, a video storage unit, a video algorithm unit and a video receiver, the microprocessor is connected with a video creation module, the video creation module is connected with a video preprocessing module, the video preprocessing module comprises a video uploading unit, a business side unit, a transcoding strategy unit, a multi-room scheduling unit and a workflow processing engine unit, the video preprocessing module is connected with a video publishing module, the video publishing module comprises a publishing unit and a closed unit, the video publishing module is connected with a video consumption module, and the video consumption module comprises a watching time recording unit and a watching time recording unit.
Preferably, the microprocessor is connected with a video application module, and the video application module comprises a video transcoding unit, a video editing unit, a video analysis unit and an image processing unit.
Preferably, the microprocessor is connected with a control platform, the control platform comprises a service configuration unit, a workflow configuration unit, a Lambda function management unit and a BMF module management unit, the configuration unit comprises a service layer, a service authentication layer, a queue management layer, a template management layer and a policy control layer, the workflow configuration unit adopts a serial asynchronous distributed processing flow, and the BMF module management unit uses a dynamic multimedia processing framework and a multimedia processing atomic capability plug-in management framework
Preferably, the video processing system adopts an SVE protocol to process videos in parallel, the video processing system adopts transcoding processing while transmitting, each uploaded fragment is cut according to GOP, and independent transcoding is performed after uploading is completed, and the transcoding time is the video uploading time plus the transcoding time of the last fragment.
Preferably, the creating transcoding module adopts Pull mode transcoding scheduling to divide the video processing system into three parts, including a task queue unit, a scheduling center unit and a task processor unit, wherein the task queue unit is used for distinguishing the priority of tasks, and the task queue unit is uniformly scheduled by the scheduling center unit and issued to the task processor unit for dispatching the tasks.
Preferably, the video processing system is connected with a data plane layer, and the data plane layer comprises a data analysis module, a metering and charging module and a monitoring and alarming module.
Preferably, the video processing system is connected to a service layer, the service layer includes a service gateway, a core management service unit and an elastic queue unit, the core management service unit is respectively connected to the service gateway and the elastic queue unit, and the core management service unit is connected to a workflow engine.
Preferably, the video processing system first acquires a root node, then acquires a first frame cover and a moving picture cover in a cover map, and performs watermark-free transcoding and watermark transcoding after acquiring the root node, and when performing watermark-free transcoding output, converts the video into a video with 1080p, 720p and 540p formats after outputting H264.
In summary, the invention mainly has the following beneficial effects:
the intelligent processing system for the shooting effect of the real estate promo films can realize transcoding and video editing, upload videos to a processor for processing optimization and realize cloud issuing; the system adopts a creating transcoding preprocessing module connected with a microprocessor to preprocess creating transcoding, utilizes the creating transcoding module to create codes, then can release videos by using a release module, can utilize a shooting unit, an uploading SDK unit and an enhancing editing unit in an end-side production module to realize video editing processing, and then can utilize an on-demand service unit and a CND unit in a cloud issuing module to realize cloud issuing of the videos.
Drawings
FIG. 1 is a system block diagram of the present 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, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, an intelligent processing system for the shooting effect of a geo-production promo-film comprises a microprocessor, wherein the microprocessor is connected with a creation transcoding preprocessing module, the creation transcoding preprocessing module is connected with a creation transcoding module, the creation transcoding module is connected with a publishing module, the microprocessor is connected with an end-side production module, the end-side production module comprises a shooting unit, an uploading SDK unit and an enhanced editing unit, the end-side production module is connected with a cloud production module, the cloud production module comprises an uploading service unit, a video processing system and an auditing unit, the uploading service unit is connected with the video processing system, the auditing unit is connected with the video processing system and the uploading service unit, the video processing system is connected with a cloud issuing module, the cloud issuing module comprises an on-demand service unit and a CND unit, the CND unit is connected with a playing SDK unit.
The system comprises a microprocessor, a video source unit, a video storage unit, a video algorithm unit and a video receiver, wherein the microprocessor is connected with a video creation module, the video creation module is connected with a video preprocessing module, the video preprocessing module comprises a video uploading unit, a business side unit, a transcoding strategy unit, a multi-room scheduling unit and a workflow processing engine unit, the video preprocessing module is connected with a video publishing module, the video publishing module comprises a publishing unit and a closed unit, the video publishing module is connected with a video consumption module, and the video consumption module comprises a watching time recording unit and a watching time recording unit.
The microprocessor is connected with a video application module, and the video application module comprises a video transcoding unit, a video editing unit, a video analysis unit and an image processing unit.
The system comprises a microprocessor, a control platform, a service configuration unit, a workflow configuration unit, a Lambda function management unit and a BMF module management unit, wherein the microprocessor is connected with the control platform, the control platform comprises the service configuration unit, a workflow configuration unit, the Lambda function management unit and the BMF module management unit, the configuration unit comprises a service layer, a service authentication layer, a queue management layer, a template management layer and a policy control layer, the workflow configuration unit adopts a serial asynchronous distributed processing flow, and the BMF module management unit uses a dynamic multimedia processing frame and a multimedia processing atomic capability plug-in management frame
The video processing system adopts an SVE protocol to process videos in parallel, the video processing system adopts simultaneous-transmission and simultaneous-transcoding processing, each uploaded fragment is cut according to GOP, independent transcoding is carried out after uploading is finished, and transcoding time is the video uploading time plus the transcoding time of the last fragment.
The creating and transcoding module adopts Pull mode transcoding scheduling to divide the video processing system into three parts, including a task queue unit, a scheduling center unit and a task processor unit, wherein the task queue unit is used for distinguishing the priority of tasks, is uniformly scheduled by the scheduling center unit and is issued to the task processor unit for dispatching the tasks.
The video processing system is connected with a data plane layer, and the data plane layer comprises a data analysis module, a metering and charging module and a monitoring and alarming module.
The video processing system is connected with a service layer, the service layer comprises a service gateway, a core management service unit and an elastic queue unit, the core management service unit is respectively connected with the service gateway and the elastic queue unit, and the core management service unit is connected with a workflow engine.
The video processing system firstly acquires a root node, then acquires a first frame cover and a moving picture cover in a cover picture, performs watermark-free transcoding and watermark transcoding after acquiring the root node, and converts the root node into videos in 1080p, 720p and 540p formats after outputting H264 during watermark-free transcoding output.
The intelligent processing system for the shooting effect of the locally produced promo films can realize transcoding and video editing, upload videos to a processor for processing optimization and realize cloud issuing; the system adopts a creating transcoding preprocessing module connected with a microprocessor to preprocess creating transcoding, utilizes the creating transcoding module to create codes, then can release videos by using a release module, can utilize a shooting unit, an uploading SDK unit and an enhancing editing unit in an end-side production module to realize video editing processing, and then can utilize an on-demand service unit and a CND unit in a cloud issuing module to realize cloud issuing of the videos.
Wherein, the target of the workflow engine design idea comprises: 1. and managing the task dependency relationship, and flexibly configuring different templates for different services. 2. And the progress condition of workflow execution can be checked at any time through visual configuration. 3. The task types are as rich as possible, and the work of each task is relatively independent. 4. Has certain fault tolerance and can process errors. The target can be divided into four parts according to the above: a DAG scheduling framework, Task division, a business workflow and finally a reconciliation system.
Wherein, the Biz Workflow is a real flow of business processing. The capabilities of several Task nodes are listed, each Task having four states: not started, in progress, execution succeeded, and execution failed. The four states can be transformed into each other, where only two cases are not initially in execution, first, there is no front end node, and it must be triggered by an event, which can be an interface call, or the receipt of an MCQ message, etc. Secondly, there are front nodes, but it is necessary that all the front nodes are executed successfully to trigger, this is controlled by the DAG scheduling framework, and when the Task node state is changed each time, the scheduling framework will traverse the whole DAG to see whether there is a node satisfying the condition to be executed. The executing nodes finally become execution success or execution failure, and in the whole process, if any node fails to execute, the whole Workflow is not executed finally.
Wherein, the reconciliation system comprises 5 modules: 1. node information collection, 2, timed polling check, 3, re-task initiation, 4, detection early warning and 5, visualization. 1. Node information collection: each task node reports its own information including task id, current state, etc. when changing state. 2. And (3) timing polling check: the execution time of the task is checked at intervals, and if the task exceeds a certain time threshold, the task is considered to fail. 3. And (3) re-task initiation: based on the previous check, a TASK failure is found, the failed TASK node is checked and the TASK is re-initiated and the number of retries is marked. 4. Detection and early warning: once a certain retry number is reached, an early warning is sent to an administrator, and manual intervention is carried out. 5. Visualization: the reason of the task failure is intuitively found and processed in real time.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The utility model provides an intelligent processing system of effect is shot to ground product propaganda piece which characterized in that: the cloud production system comprises a microprocessor, microprocessor is connected with and establishes transcoding pre-processing module, it is connected with and establishes transcoding module to establish transcoding pre-processing module, it is connected with the release module to establish transcoding module, microprocessor is connected with distolateral production module, distolateral production module is including shooting the unit, uploading SDK unit and reinforcing editing unit, distolateral production module is connected with high in the clouds production module, high in the clouds production module is including uploading service unit, video processing system and examining the unit, upload service unit with video processing system connects, examine the unit with video processing system and upload the service unit and connect, video processing system is connected with the high in the clouds and issues the module, the high in the clouds is issued the module and is included on-demand service unit and CND unit, CND unit is connected with the broadcast SDK unit.
2. The intelligent processing system for the photographic effect of the geo-generated promo sheet according to claim 1, wherein: the system comprises a microprocessor, a video source unit, a video storage unit, a video algorithm unit and a video receiver, wherein the microprocessor is connected with a video creation module, the video creation module is connected with a video preprocessing module, the video preprocessing module comprises a video uploading unit, a service side unit, a transcoding strategy unit, a multi-room scheduling unit and a workflow processing engine unit, the video preprocessing module is connected with a video publishing module, the video publishing module comprises a publishing unit and a closed unit, the video publishing module is connected with a video consumption module, and the video consumption module comprises a watching time recording unit and a watching time recording unit.
3. The intelligent processing system for the photographic effect of the geo-generated promo sheet according to claim 1, wherein: the microprocessor is connected with a video application module, and the video application module comprises a video transcoding unit, a video editing unit, a video analysis unit and an image processing unit.
4. The intelligent processing system for the photographic effect of the geo-generated promo sheet according to claim 1, wherein: the system comprises a microprocessor, a control platform, a service configuration unit, a workflow configuration unit, a Lambda function management unit and a BMF module management unit, wherein the control platform comprises the service configuration unit, a workflow configuration unit, the Lambda function management unit and the BMF module management unit, the configuration unit comprises a service layer, a service authentication layer, a queue management layer, a template management layer and a policy control layer, the workflow configuration unit adopts a serial asynchronous distributed processing flow, and the BMF module management unit uses a dynamic multimedia processing frame and a multimedia processing atomic capability plug-in management frame.
5. The intelligent processing system for the photographic effect of the geo-generated promo sheet according to claim 1, wherein: the video processing system adopts an SVE protocol to process videos in parallel, the video processing system adopts simultaneous-transmission and simultaneous-transcoding processing, each uploaded fragment is cut according to GOP, independent transcoding is carried out after uploading is completed, and transcoding time is the video uploading time plus the transcoding time of the last fragment.
6. The intelligent processing system for the photographic effect of the geo-generated promo sheet according to claim 1, wherein: the creating and transcoding module adopts Pull mode transcoding scheduling to divide the video processing system into three parts, including a task queue unit, a scheduling center unit and a task processor unit, wherein the task queue unit is used for distinguishing the priority of tasks, and the scheduling center unit performs unified scheduling and issues the tasks to the task processor unit for dispatching the tasks.
7. The intelligent processing system for the photographic effect of the geo-generated promo sheet according to claim 1, wherein: the video processing system is connected with a data plane layer, and the data plane layer comprises a data analysis module, a metering and charging module and a monitoring and alarming module.
8. The intelligent processing system for the photographic effect of the geo-generated promo sheet according to claim 1, wherein: the video processing system is connected with a service layer, the service layer comprises a service gateway, a core management service unit and an elastic queue unit, the core management service unit is respectively connected with the service gateway and the elastic queue unit, and the core management service unit is connected with a workflow engine.
9. The intelligent processing system for the photographic effect of the geo-generated promo sheet according to claim 1, wherein: the video processing system firstly acquires a root node, then acquires a first frame cover and a moving picture cover in a cover picture, performs watermark-free transcoding and watermark transcoding after acquiring the root node, and converts the root node into videos in 1080p, 720p and 540p formats after outputting H264 during watermark-free transcoding output.
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Application publication date: 20211029 |