CN104331325A - Resource exploration and analysis-based multi-intelligence scheduling system and resource exploration and analysis-based multi-intelligence scheduling method for video resources - Google Patents
Resource exploration and analysis-based multi-intelligence scheduling system and resource exploration and analysis-based multi-intelligence scheduling method for video resources Download PDFInfo
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Abstract
The invention relates to a resource exploration and analysis-based multi-intelligence scheduling system and a resource exploration and analysis-based multi-intelligence scheduling method for video resources. The resource exploration and analysis-based multi-intelligence scheduling system for the video resources comprises a plurality of algorithm computing service units and a hardware computing resource unit; each algorithm computing service unit is connected with the hardware computing resource unit correspondingly and dynamically distributed; the resource exploration and analysis-based multi-intelligence scheduling system for the video resources also comprises a task originator terminal, a task type parameter analysis unit, a loading algorithm and computing unit and a resource exploration and analysis processing unit, wherein the task originator terminal is connected with the task type parameter analysis unit; the task type parameter analysis unit is connected with the loading algorithm and computing unit; the loading algorithm and computing unit is also connected with the algorithm computing service units and the resource exploration and analysis processing unit; each algorithm computing service unit is capable of realizing structured processing on high-definition videos.
Description
Technical field
The present invention relates to a kind of method that monitor video is analyzed, refer to a kind of based on the multi-element intelligent dispatching method to video resource detection analysis especially.
Background technology
As everyone knows, along with the development of high-definition video monitoring system, video data resource analysis in safe city, smart city, science and technology is strong alert etc., and various fields is widely used, and is the effective means of the large data of process video.Due to video data very large of HD video system, the intelligent video demand of required process is different, existing separately or can not meet the requirement of high-definition intelligent video system for the intelligent video algorithm of a certain application and product, have a strong impact on the expansion of its system performance and application, cause a large amount of HD video wasting of resources.Due to data volume very large of high-definition monitoring video system, particularly HD video reaches several thousand roads even up to ten thousand, data are when reaching more than PB level, video resource detection analysis has become the bottleneck of whole system, can not meet the service application demand of normal high-definition intelligent video system at all.Therefore, how processing the analysis of several thousand roads even up to ten thousand high-definition intelligent video resource contents, is that intelligent video resource content analyzes problem demanding prompt solution.
Summary of the invention
The object of the invention is for existing separately or for the intelligent video algorithm of a certain application and the deficiency of product, there is provided a kind of multi-element intelligent video resource dispatching system based on resource detection analysis and dispatching method, to solve the problem of a large amount of HD video data resource waste.Core concept of the present invention is that various different intelligent analysis process and hardware computing resource demand are carried out high integration, realize carrying out standard interface encapsulation to different intelligent video analysis algorithm and product, integrate a large amount of hardware computing resource simultaneously, and then the Integral lifting promoted video large data resource detection analysis application demand, thus meet diversified video resource contents processing and application demand.
The technical solution used in the present invention is: a kind of multi-element intelligent video resource dispatching system analyzed based on resource detection, it comprises some algorithm computational service unit and hardware computing resource unit, each this algorithm computational service unit is connected with this hardware computing resource unit of corresponding dynamic assignment, the multi-element intelligent video resource dispatching system should analyzed based on resource detection also comprises task initiator terminal, resolve task type parameters unit, loading algorithm and computing unit and resource detection analysis and processing unit, wherein, this task initiator terminal is connected with this parsing task type parameters unit, this parsing task type parameters unit is connected with this loading algorithm and computing unit, this loading algorithm and computing unit are also connected with this algorithm computational service unit some and this resource detection analysis and processing unit.
Each this algorithm computational service unit can both realize a kind of structuring process to HD video.
When concrete enforcement, this structuring process comprises to be carried out the process of video frequency abstract Objective extraction or carries out video to this HD video concentrating retrieval process or being identified as the structuring process of foundation with Face datection or being extracted as the structuring process of foundation with information of vehicles to this HD video.
When concrete enforcement, this structuring process also comprise by the structuring process that is foundation of the size of target image or by color be foundation structuring process or by movement locus be foundation structuring process or by movement velocity be foundation structuring process or by characteristics of human body be extracted as the structuring process of foundation or the structuring process for the purpose of video image sharpening or by video image quality be diagnosed as object structuring process or by the structuring process of video frequency abstract simmer down to object or by the structuring process for the purpose of the retrieval playback of interesting target or the structuring process for the purpose of video code conversion, but be not limited to these contents enumerated.When concrete enforcement, this hardware computing resource unit comprises some small servers, and this hardware computing resource unit also can be the cluster of some PC.
When work, first this task initiator terminal initiates the request of intelligent video Processing tasks, then this request is transferred in this parsing task type parameters unit, by this parsing task type parameters unit, parsing task type is carried out to this request, import the information of parameter into, afterwards, this request is transferred in this loading algorithm and computing unit, distributed this hardware computing resource unit corresponding by this loading algorithm and computing unit according to this request dynamic and start this algorithm computational service cell processing and perform this task requests, such as: certain user initiates the request of " video frequency abstract " Processing tasks, by resolving this task, getting task type is: video frequency abstract process, task processing rule: more line or area-of-interest, etc..Finally, result is transported in this resource detection analysis and processing unit to complete overall work process by this loading algorithm and computing unit, this loading algorithm and computing unit process various intelligent video resource content analysis request in this request successively, until all processed.
A kind of multi-element intelligent video resource dispatching method analyzed based on resource detection, some algorithm computational service unit and hardware computing resource unit are set, each this algorithm computational service unit is connected with this hardware computing resource unit of corresponding dynamic assignment, task initiator terminal is set, resolve task type parameters unit, loading algorithm and computing unit and resource detection analysis and processing unit, this task initiator terminal is connected with this parsing task type parameters unit, this parsing task type parameters unit is connected with this loading algorithm and computing unit, this loading algorithm and computing unit are also connected with this algorithm computational service unit some and this resource detection analysis and processing unit, make a kind of structuring process that each this algorithm computational service unit can both realize HD video.
First this task initiator terminal initiates the request of intelligent video Processing tasks, then this request is transferred in this parsing task type parameters unit, by this parsing task type parameters unit, parsing task type is carried out to this request, import the information of parameter into, afterwards, this request is transferred in this loading algorithm and computing unit, distributed this hardware computing resource unit corresponding by this loading algorithm and computing unit according to this request dynamic and start this algorithm computational service cell processing and perform this task requests, finally, result is transported in this resource detection analysis and processing unit to complete overall work process by this loading algorithm and computing unit, this loading algorithm and computing unit process various intelligent video resource content analysis request in this request successively, until all processed.
Beneficial effect of the present invention is: the invention provides one-stop resource detection and analyze multi-element intelligent algorithmic dispatching method, single intelligent video algorithm or product before particularly comparing, achieve the flow process of Intelligent treatment of carrying out variation, seamless connection for HD video, improve the Consumer's Experience of intelligent video application greatly.
Accompanying drawing explanation
Fig. 1 is functional-block diagram of the present invention.
Embodiment
As shown in Figure 1, a kind of multi-element intelligent video resource dispatching system analyzed based on resource detection, it comprises some algorithm computational service unit 10 and hardware computing resource unit 20, and each this algorithm computational service unit 10 is connected with this hardware computing resource unit 20 of corresponding dynamic assignment.
The multi-element intelligent video resource dispatching system should analyzed based on resource detection also comprises task initiator terminal 40, resolves task type parameters unit 50, loading algorithm and computing unit 60 and resource detection analysis and processing unit 70, wherein, this task initiator terminal 40 is connected with this parsing task type parameters unit 50, and this parsing task type parameters unit 50 is connected with this loading algorithm and computing unit 60.
This loading algorithm and computing unit 60 are also connected with these algorithm computational service unit 10 some and this resource detection analysis and processing unit 70.
Each this algorithm computational service unit 10 can both realize a kind of structuring process to HD video.
When concrete enforcement, this structuring process comprises to be carried out the process of video frequency abstract Objective extraction or carries out video to this HD video concentrating retrieval process or being identified as the structuring process of foundation with Face datection or being extracted as the structuring process of foundation with information of vehicles to this HD video.
When concrete enforcement, this structuring process also comprise by the structuring process that is foundation of the size of target image or by color be foundation structuring process or by movement locus be foundation structuring process or by movement velocity be foundation structuring process or by characteristics of human body be extracted as the structuring process of foundation or the structuring process for the purpose of video image sharpening or by video image quality be diagnosed as object structuring process or by the structuring process of video frequency abstract simmer down to object or by the structuring process for the purpose of the retrieval playback of interesting target or the structuring process for the purpose of video code conversion, but be not limited to these contents enumerated.
When concrete enforcement, this hardware computing resource unit 20 comprises some small servers, and this hardware computing resource unit 20 also can be the cluster of some PC.
When work, first this task initiator terminal 40 initiates the request of intelligent video Processing tasks, then this request is transferred in this parsing task type parameters unit 50, by this parsing task type parameters unit 50, this request is carried out to the information of resolving task type, importing parameter into, afterwards, this request is transferred in this loading algorithm and computing unit 60, distributes this hardware computing resource unit 20 corresponding and start this this task requests of algorithm computational service unit 10 processing execution by this loading algorithm and computing unit 60 according to this request dynamic.
Such as: certain user initiates the request of " video frequency abstract " Processing tasks, and by resolving this task, getting task type is: video frequency abstract process, task processing rule: more line or area-of-interest, etc.
Finally, result is transported in this resource detection analysis and processing unit 70 to complete overall work process by this loading algorithm and computing unit 60.
This loading algorithm and computing unit 60 process various intelligent video resource content analysis request in this request successively, until all processed.
A kind of multi-element intelligent video resource dispatching method analyzed based on resource detection, arrange some algorithm computational service unit 10 and hardware computing resource unit 20, each this algorithm computational service unit 10 is connected with this hardware computing resource unit 20 of corresponding dynamic assignment.
Task initiator terminal 40 is set, resolves task type parameters unit 50, loading algorithm and computing unit 60 and resource detection analysis and processing unit 70, this task initiator terminal 40 is connected with this parsing task type parameters unit 50, this parsing task type parameters unit 50 is connected with this loading algorithm and computing unit 60, this loading algorithm and computing unit 60 are also connected with these algorithm computational service unit 10 some and this resource detection analysis and processing unit 70.
Make a kind of structuring process that each this algorithm computational service unit 10 can both realize HD video.
First this task initiator terminal 40 initiates the request of intelligent video Processing tasks, then this request is transferred in this parsing task type parameters unit 50, by this parsing task type parameters unit 50, parsing task type is carried out to this request, import the information of parameter into, afterwards, this request is transferred in this loading algorithm and computing unit 60, distribute this hardware computing resource unit 20 corresponding by this loading algorithm and computing unit 60 according to this request dynamic and start this this task requests of algorithm computational service unit 10 processing execution, finally, result is transported in this resource detection analysis and processing unit 70 to complete overall work process by this loading algorithm and computing unit 60, this loading algorithm and computing unit 60 process various intelligent video resource content analysis request in this request successively, until all processed.
Claims (6)
1. the multi-element intelligent video resource dispatching system analyzed based on resource detection, it is characterized in that: comprise some algorithm computational service unit and hardware computing resource unit, each this algorithm computational service unit is connected with this hardware computing resource unit of corresponding dynamic assignment, the multi-element intelligent video resource dispatching system should analyzed based on resource detection also comprises task initiator terminal, resolve task type parameters unit, loading algorithm and computing unit and resource detection analysis and processing unit, wherein, this task initiator terminal is connected with this parsing task type parameters unit, this parsing task type parameters unit is connected with this loading algorithm and computing unit, this loading algorithm and computing unit are also connected with this algorithm computational service unit some and this resource detection analysis and processing unit, each this algorithm computational service unit can both realize a kind of structuring process to HD video,
When work, first this task initiator terminal initiates the request of intelligent video Processing tasks, then this request is transferred in this parsing task type parameters unit, by this parsing task type parameters unit, parsing task type is carried out to this request, import the information of parameter into, afterwards, this request is transferred in this loading algorithm and computing unit, distributed this hardware computing resource unit corresponding by this loading algorithm and computing unit according to this request dynamic and start this algorithm computational service cell processing and perform this task requests, finally, result is transported in this resource detection analysis and processing unit to complete overall work process by this loading algorithm and computing unit, this loading algorithm and computing unit process various intelligent video resource content analysis request in this request successively, until all processed.
2. as claimed in claim 1 a kind of based on resource detection analyze multi-element intelligent video resource dispatching system, it is characterized in that: this structuring process comprises to be carried out the process of video frequency abstract Objective extraction or carry out video to this HD video concentrating retrieval process or being identified as the structuring process of foundation with Face datection or being extracted as the structuring process of foundation with information of vehicles to this HD video.
3. as claimed in claim 2 a kind of based on resource detection analyze multi-element intelligent video resource dispatching system, it is characterized in that: this structuring process also comprise by the structuring process that is foundation of the size of target image or by color be foundation structuring process or by movement locus be foundation structuring process or by movement velocity be foundation structuring process or by characteristics of human body be extracted as the structuring process of foundation or the structuring process for the purpose of video image sharpening or by video image quality be diagnosed as object structuring process or by the structuring process of video frequency abstract simmer down to object or by the structuring process for the purpose of the retrieval playback of interesting target or the structuring process for the purpose of video code conversion, but be not limited to these contents enumerated.
4. as claimed in claim 1 a kind of based on resource detection analyze multi-element intelligent video resource dispatching system, it is characterized in that: this hardware computing resource unit comprises some small servers.
5. as claimed in claim 1 a kind of based on resource detection analyze multi-element intelligent video resource dispatching system, it is characterized in that: this hardware computing resource unit is the cluster of some PC.
6. the multi-element intelligent video resource dispatching method analyzed based on resource detection, it is characterized in that: some algorithm computational service unit and hardware computing resource unit are set, each this algorithm computational service unit is connected with this hardware computing resource unit of corresponding dynamic assignment, task initiator terminal is set, resolve task type parameters unit, loading algorithm and computing unit and resource detection analysis and processing unit, this task initiator terminal is connected with this parsing task type parameters unit, this parsing task type parameters unit is connected with this loading algorithm and computing unit, this loading algorithm and computing unit are also connected with this algorithm computational service unit some and this resource detection analysis and processing unit, make a kind of structuring process that each this algorithm computational service unit can both realize HD video,
First this task initiator terminal initiates the request of intelligent video Processing tasks, then this request is transferred in this parsing task type parameters unit, by this parsing task type parameters unit, parsing task type is carried out to this request, import the information of parameter into, afterwards, this request is transferred in this loading algorithm and computing unit, distributed this hardware computing resource unit corresponding by this loading algorithm and computing unit according to this request dynamic and start this algorithm computational service cell processing and perform this task requests, finally, result is transported in this resource detection analysis and processing unit to complete overall work process by this loading algorithm and computing unit, this loading algorithm and computing unit process various intelligent video resource content analysis request in this request successively, until all processed.
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| CN108363713A (en) * | 2017-12-20 | 2018-08-03 | 武汉烽火众智数字技术有限责任公司 | Video image information resolver, system and method |
| CN109669780A (en) * | 2018-12-25 | 2019-04-23 | 上海极链网络科技有限公司 | A kind of video analytic method and system |
| CN109788251A (en) * | 2019-01-21 | 2019-05-21 | 苏州科达科技股份有限公司 | Method for processing video frequency, device and storage medium |
| CN110545242A (en) * | 2018-05-29 | 2019-12-06 | 杭州海康威视数字技术股份有限公司 | target analysis method and intelligent analysis equipment |
| CN110543887A (en) * | 2018-05-29 | 2019-12-06 | 杭州海康威视数字技术股份有限公司 | Target analysis method and device, electronic equipment and readable storage medium |
| CN111027689A (en) * | 2019-11-20 | 2020-04-17 | 中国航空工业集团公司西安航空计算技术研究所 | Configuration method, device and computing system |
| CN111176822A (en) * | 2020-01-02 | 2020-05-19 | 中国航空工业集团公司西安航空计算技术研究所 | OODA multi-task intelligent application-oriented embedded public software operation method |
| CN111866466A (en) * | 2020-07-28 | 2020-10-30 | 深圳天海宸光科技有限公司 | Distributed video intelligent analysis processing system and method |
| CN112616131A (en) * | 2020-12-11 | 2021-04-06 | 北京邮电大学 | Internet of vehicles resource allocation method based on video content priority |
| CN112905333A (en) * | 2021-01-23 | 2021-06-04 | 招商新智科技有限公司 | Computing load scheduling method and device for distributed video intelligent analysis platform |
| CN113934545A (en) * | 2021-12-17 | 2022-01-14 | 飞诺门阵(北京)科技有限公司 | Video data scheduling method, system, electronic equipment and readable medium |
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| CN108363713A (en) * | 2017-12-20 | 2018-08-03 | 武汉烽火众智数字技术有限责任公司 | Video image information resolver, system and method |
| CN110545242A (en) * | 2018-05-29 | 2019-12-06 | 杭州海康威视数字技术股份有限公司 | target analysis method and intelligent analysis equipment |
| CN110543887A (en) * | 2018-05-29 | 2019-12-06 | 杭州海康威视数字技术股份有限公司 | Target analysis method and device, electronic equipment and readable storage medium |
| CN109669780A (en) * | 2018-12-25 | 2019-04-23 | 上海极链网络科技有限公司 | A kind of video analytic method and system |
| CN109788251A (en) * | 2019-01-21 | 2019-05-21 | 苏州科达科技股份有限公司 | Method for processing video frequency, device and storage medium |
| CN111027689B (en) * | 2019-11-20 | 2024-03-22 | 中国航空工业集团公司西安航空计算技术研究所 | Configuration method, device and computing system |
| CN111027689A (en) * | 2019-11-20 | 2020-04-17 | 中国航空工业集团公司西安航空计算技术研究所 | Configuration method, device and computing system |
| CN111176822A (en) * | 2020-01-02 | 2020-05-19 | 中国航空工业集团公司西安航空计算技术研究所 | OODA multi-task intelligent application-oriented embedded public software operation method |
| CN111176822B (en) * | 2020-01-02 | 2023-05-09 | 中国航空工业集团公司西安航空计算技术研究所 | OODA (on-off-line architecture) multi-task intelligent application-oriented embedded public software operation method |
| CN111866466A (en) * | 2020-07-28 | 2020-10-30 | 深圳天海宸光科技有限公司 | Distributed video intelligent analysis processing system and method |
| CN112616131A (en) * | 2020-12-11 | 2021-04-06 | 北京邮电大学 | Internet of vehicles resource allocation method based on video content priority |
| CN112616131B (en) * | 2020-12-11 | 2022-05-13 | 北京邮电大学 | Internet of vehicles resource allocation method based on video content priority |
| CN112905333A (en) * | 2021-01-23 | 2021-06-04 | 招商新智科技有限公司 | Computing load scheduling method and device for distributed video intelligent analysis platform |
| CN112905333B (en) * | 2021-01-23 | 2024-04-26 | 招商新智科技有限公司 | Computing power load scheduling method and device for distributed video intelligent analysis platform |
| CN113934545A (en) * | 2021-12-17 | 2022-01-14 | 飞诺门阵(北京)科技有限公司 | Video data scheduling method, system, electronic equipment and readable medium |
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