WO2022099753A1 - Conference video information uploading method and system based on cloud computing service - Google Patents

Conference video information uploading method and system based on cloud computing service Download PDF

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Publication number
WO2022099753A1
WO2022099753A1 PCT/CN2020/130273 CN2020130273W WO2022099753A1 WO 2022099753 A1 WO2022099753 A1 WO 2022099753A1 CN 2020130273 W CN2020130273 W CN 2020130273W WO 2022099753 A1 WO2022099753 A1 WO 2022099753A1
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conference
target
relevancy
execution node
data area
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PCT/CN2020/130273
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French (fr)
Chinese (zh)
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屈建芬
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苏州知云创宇信息科技有限公司
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • 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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  • the present invention relates to the technical field of conference video information uploading based on cloud computing services, in particular, to a method and system for uploading conference video information based on cloud computing services.
  • the purpose of the embodiments of the present invention is to provide a method and system for uploading conference video information based on cloud computing services, so as to upload conference video information based on cloud computing services to conference video service equipment, thereby determining the conference video to be uploaded.
  • the information corresponds to the upload control result of each target conference execution node, so that the video information of the conference to be uploaded can be optimized according to the upload control result.
  • a method for uploading conference video information based on a cloud computing service is provided, which is applied to a server, where the server is communicatively connected to a conference video service device, and the method includes:
  • the upload history behavior information of the conference video information to be uploaded predict the conference relevance of each upload data area respectively associated with each target conference execution node, and predict each upload according to the upload history behavior information of the target conference video information.
  • the data area is respectively associated with the target conference relevance of each target conference execution node;
  • each target conference execution node determines the Describe the steps of uploading the video information of the conference to be uploaded corresponding to the uploading control result of each target conference execution node, including:
  • the matching parameter of the conference relevance of each uploaded data area associated with each target conference execution node is determined according to the target conference relevance of each uploaded data area associated with each target conference execution node steps, including:
  • the target conference video information is at least two;
  • the step of predicting, according to the uploading historical behavior information of the target meeting video information, that each uploading data area is respectively associated with each target meeting execution node includes:
  • each upload data area is associated with each target conference execution node, determine the target upload data area associated with each target conference execution node in at least two upload data areas;
  • conference relevancy intervals respectively determine the conference relevancy interval in which each of the obtained conference relevancy degrees is located;
  • the conference relevancy included in the determined conference relevancy interval randomly select a conference relevancy, and be associated with the target conference relevancy of the target conference execution node as the target upload data area;
  • the largest conference relevancy degree is selected from all the conference relevancy degrees included in the determined conference relevancy degree interval, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
  • a system for uploading conference video information based on cloud computing services is provided, which is applied to a server, where the server is communicatively connected to a conference video service device, and the system includes:
  • the acquisition module is used to acquire the conference video information to be uploaded and at least two upload data areas, and to acquire the conference video information upload category based on the cloud computing service and the cloud computing service-based conference video information upload category of the conference video information to be uploaded The same target conference video information;
  • the prediction module is used for predicting the conference relevancy degree that each uploaded data area is respectively associated with each target conference execution node according to the uploading historical behavior information of the conference video information to be uploaded, and according to the uploading historical behavior of the target conference video information The information predicts that each uploaded data area is respectively associated with the target conference relevance of each target conference execution node;
  • the determining module is configured to determine the conference video to be uploaded according to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node The information corresponds to the upload control result of each target conference execution node.
  • a readable storage medium is provided, and a computer program is stored on the readable storage medium.
  • the computer program is run by a processor, the above-mentioned uploading of conference video information based on a cloud computing service can be performed. steps of the method.
  • the method and system for uploading conference video information based on cloud computing services obtain the conference video information to be uploaded and at least two uploaded data areas, and obtain the cloud computing service-based video information.
  • the conference video information upload category is the same as the target conference video information upload category based on the cloud computing service of the conference video information to be uploaded.
  • each uploaded data area is respectively associated with The conference relevancy of each target conference execution node, and predicts the target conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the upload history behavior information of the target conference video information, and then according to each uploaded data area The conference relevance degree associated with each target conference execution node and the target conference relevance degree associated with each target conference execution node of each uploaded data area.
  • the conference video service device is used to upload the conference video information based on the cloud computing service, so as to determine that the conference video information to be uploaded corresponds to the upload control result of each target conference execution node, so that the upload conference can be treated according to the upload control result later.
  • Video information is optimized.
  • FIG. 1 shows a schematic diagram of components of a server provided by an embodiment of the present invention
  • FIG. 2 shows a schematic flowchart of a method for uploading conference video information based on a cloud computing service provided by an embodiment of the present invention
  • FIG. 3 shows a block diagram of functional modules of a system for uploading conference video information based on a cloud computing service provided by an embodiment of the present invention.
  • FIG. 1 shows an exemplary component diagram of server 100 .
  • Server 100 may include one or more processors 104, such as one or more central processing units (CPUs), each of which may implement one or more hardware threads.
  • the server 100 may also include any storage medium 106 for storing any kind of information such as code, settings, data, and the like.
  • storage medium 106 may include any one or a combination of the following: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, and the like. More generally, any storage medium can use any technology to store information. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent a fixed or removable component of the server 100 .
  • server 100 may perform any operation of the associated instructions.
  • the server 100 also includes one or more drive units 108 for interacting with any storage media, such as hard disk drive units, optical disk drive units, and the like.
  • Server 100 also includes input/output 110 (I/O) for receiving various inputs (via input unit 112 ) and for providing various outputs (via output unit 114 ).
  • I/O input/output 110
  • a specific output mechanism may include presentation device 116 and associated graphical user interface (GUI) 118 .
  • Server 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122 .
  • One or more communication buses 124 couple together the components described above.
  • the communication unit 122 may be implemented in any manner, eg, via a local area network, a wide area network (eg, the Internet), a point-to-point connection, etc., or any combination thereof.
  • Communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, etc. governed by any protocol or combination of protocols.
  • FIG. 2 shows a schematic flowchart of a method for uploading conference video information based on a cloud computing service provided by an embodiment of the present invention.
  • the method for uploading conference video information based on a cloud computing service can be executed by the server 100 shown in FIG. 1 .
  • the detailed steps of the method for uploading conference video information of the computing service are described as follows.
  • Step S110 Obtain the conference video information to be uploaded and at least two upload data areas, and obtain the same upload category of the conference video information based on the cloud computing service as the upload category of the conference video information based on the cloud computing service of the conference video information to be uploaded. Video information of the target meeting;
  • Step S120 predicting the conference relevancy degree that each uploaded data area is respectively associated with each target conference execution node according to the uploading historical behavior information of the conference video information to be uploaded, and predicting according to the uploading historical behavior information of the target conference video information
  • Each uploaded data area is respectively associated with the target conference relevance of each target conference execution node;
  • Step S130 according to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node, determine the to-be-uploaded conference video information corresponds to Execute the upload control result of the node for each target conference.
  • this embodiment obtains the conference video information to be uploaded and at least two upload data areas, and obtains the upload category of the conference video information based on the cloud computing service and the conference video information upload based on the cloud computing service.
  • Target conference video information of the same category and then predict the conference relevance of each uploaded data area associated with each target conference execution node according to the upload history behavior information of the conference video information to be uploaded.
  • the information predicts that each upload data area is respectively associated with the target conference relevance of each target meeting execution node, and then according to the conference relevance degree that each upload data area is associated with each target meeting execution node and each upload data area is associated with each The target conference affinity of a target conference execution node.
  • the conference video service device is used to upload conference video information based on cloud computing services, so as to determine that the conference video information to be uploaded corresponds to the upload control result of each target conference execution node, so that the upload conference can be treated according to the upload control result later.
  • Video information is optimized.
  • this embodiment may determine whether each uploaded data region is associated with each target conference execution node according to the target conference relevance of each uploaded data region associated with each target conference execution node.
  • the matching parameters of the conference relevance and then according to the matching parameters of the conference relevance that each uploaded data area is respectively associated with each target conference execution node, determine the upload control result of the to-be-uploaded conference video information corresponding to each target conference execution node .
  • the target conference video information is at least two pieces of video information. Determine the target upload data area associated with each target conference execution node in the data area, and then use the video information of each target conference to predict the conference relevance of the target upload data area associated with each target conference execution node, and then at least In the two conference relevancy intervals, the conference relevancy interval in which each of the obtained conference relevancy degrees is located is determined respectively, and in at least two conference relevancy intervals, the conference relevancy interval containing the most conference relevancy degree is determined. In this way, according to the conference relevance included in the determined conference relevance interval, the target conference relevance of the target upload data region associated with each target meeting execution node can be determined.
  • a conference relevancy degree may be randomly selected and associated with the target conference relevancy degree of the target conference execution node as the target upload data area.
  • the average probability of all the conference relevancy degrees included in the determined conference relevancy degree interval is calculated, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
  • the largest conference relevancy degree is selected from all the conference relevancy degrees included in the determined conference relevancy degree interval, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
  • FIG. 3 shows a functional block diagram of the system 200 for uploading conference video information based on cloud computing services provided by an embodiment of the present invention.
  • the functions implemented by the system 200 for uploading conference video information based on cloud computing services may correspond to the steps performed by the above method.
  • the cloud computing service-based conference video information uploading system 200 can be understood as the above-mentioned server 100 or the processor of the server 100, and can also be understood as the implementation of the functions of the present invention under the control of the server 100 independent of the above-mentioned server 100 or the processor As shown in FIG. 3 , the functions of each functional module of the cloud computing service-based conference video information uploading system 200 will be described in detail below.
  • the acquiring module 210 is configured to acquire the conference video information to be uploaded and at least two upload data areas, and to acquire the upload category of the conference video information based on the cloud computing service and the conference video information upload based on the cloud computing service of the conference video information to be uploaded. Video information of the target conference of the same category;
  • the prediction module 220 is configured to predict the conference relevancy degree that each uploaded data area is respectively associated with each target conference execution node according to the upload history behavior information of the conference video information to be uploaded, and according to the upload history of the target conference video information Behavior information predicts the target conference relevance of each uploaded data area associated with each target conference execution node;
  • the determining module 230 is configured to determine the to-be-uploaded conference according to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node
  • the video information corresponds to the upload control result of each target conference execution node.
  • the determining module 230 determines that the conference video information to be uploaded corresponds to the upload control result of each target conference execution node in the following manner:
  • the determining module 230 determines the matching parameter of the conference relevance of each uploaded data area associated with each target conference execution node in the following manner:
  • the matching parameter of the conference relevancy degree associated with each uploaded data area and each target conference execution node is set as the second preset matching parameter.
  • the target conference video information is at least two, and the predicting module 220 predicts the target conference relevancy degree of each uploaded data area that is respectively associated with each target conference execution node in the following manner: include:
  • each upload data area is associated with each target conference execution node, determine the target upload data area associated with each target conference execution node in at least two upload data areas;
  • conference relevancy intervals respectively determine the conference relevancy interval in which each of the obtained conference relevancy degrees is located;
  • the prediction module 220 determines the target conference relevance of the target upload data region associated with each target conference execution node in the following manner:
  • the largest conference relevancy degree is selected from all the conference relevancy degrees included in the determined conference relevancy degree interval, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
  • each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function(s) executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures.
  • each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations can be implemented in dedicated hardware-based systems that perform the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.
  • each functional module in each embodiment of the present invention may be integrated to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.
  • the computer program product includes one or more computer instructions.
  • the computer may be a general purpose computer, special purpose computer, computer network, or other programmable device.
  • the computer instructions may be stored in or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server or data center Transmission to another website site, computer, server, or data center is by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.).
  • the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that includes an integration of one or more available media.
  • the usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), and the like.

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Abstract

The embodiments of the present application provide a conference video information uploading method and system based on a cloud computing service. A conference video service device uploads conference video information on the basis of a cloud computing service, so as to determine an upload control result of conference video information to be uploaded corresponding to each target conference execution node, such that said conference video information is then optimized according to the upload control result.

Description

一种基于云计算服务的会议视频信息上传方法及系统A method and system for uploading conference video information based on cloud computing service 技术领域technical field
本发明涉及基于云计算服务的会议视频信息上传技术领域，具体而言，涉及一种基于云计算服务的会议视频信息上传方法及系统。The present invention relates to the technical field of conference video information uploading based on cloud computing services, in particular, to a method and system for uploading conference video information based on cloud computing services.
背景技术Background technique
在基于云计算服务的会议视频信息上传过程中，如何提高智能上传的准确性是必须考虑的重要因素，因此对会议视频服务设备进行基于云计算服务的会议视频信息上传非常重要。In the process of uploading conference video information based on cloud computing services, how to improve the accuracy of intelligent uploading is an important factor that must be considered. Therefore, it is very important to upload conference video information based on cloud computing services for conference video service equipment.
发明内容SUMMARY OF THE INVENTION
有鉴于此，本发明实施例的目的在于提供一种基于云计算服务的会议视频信息上传方法及系统，通对会议视频服务设备进行基于云计算服务的会议视频信息上传，从而确定待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果，以便于之后根据上传控制结果来对待上传会议视频信息进行优化。In view of this, the purpose of the embodiments of the present invention is to provide a method and system for uploading conference video information based on cloud computing services, so as to upload conference video information based on cloud computing services to conference video service equipment, thereby determining the conference video to be uploaded. The information corresponds to the upload control result of each target conference execution node, so that the video information of the conference to be uploaded can be optimized according to the upload control result.
根据本发明实施例的一个方面，提供一种基于云计算服务的会议视频信息上传方法，应用于服务器，所述服务器与会议视频服务设备通信连接，所述方法包括：According to an aspect of the embodiments of the present invention, a method for uploading conference video information based on a cloud computing service is provided, which is applied to a server, where the server is communicatively connected to a conference video service device, and the method includes:
获取待上传会议视频信息和至少两个上传数据区域，并获取基于云计算服务的会议视频信息上传类别与所述待上传会议视频信息的基于云计算服务的会议视频信息上传类别相同的目标会议视频信息；Obtain the conference video information to be uploaded and at least two upload data areas, and obtain the target conference video of the same upload category of the conference video information based on the cloud computing service and the conference video information upload category based on the cloud computing service of the conference video information to be uploaded information;
根据所述待上传会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度，并根据所述目标会议视 频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度；According to the upload history behavior information of the conference video information to be uploaded, predict the conference relevance of each upload data area respectively associated with each target conference execution node, and predict each upload according to the upload history behavior information of the target conference video information. The data area is respectively associated with the target conference relevance of each target conference execution node;
根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度，确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果。According to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node, it is determined that the conference video information to be uploaded corresponds to each The upload control result of the target conference execution node.
在一种可能的示例中，所述根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度，确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果的步骤，包括：In a possible example, according to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node, determine the Describe the steps of uploading the video information of the conference to be uploaded corresponding to the uploading control result of each target conference execution node, including:
根据每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数；According to the target conference relevance of each uploaded data area associated with each target conference execution node, determine the matching parameter of the conference relevance of each uploaded data area associated with each target conference execution node;
根据每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度的匹配参数确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果。It is determined that the video information of the to-be-uploaded conference corresponds to the upload control result of each target conference execution node according to the matching parameter of the conference relevancy that each upload data area is respectively associated with each target conference execution node.
在一种可能的示例中，所述根据每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数的步骤，包括：In a possible example, the matching parameter of the conference relevance of each uploaded data area associated with each target conference execution node is determined according to the target conference relevance of each uploaded data area associated with each target conference execution node steps, including:
判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度与每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度是否位于同一会议相关度区间内；Judging whether the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node are located within the same conference relevance interval;
如果位于同一会议相关度区间内，则将每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数设置为第一预设匹配参数；If it is within the same conference relevancy interval, set the matching parameter of the conference relevancy degree associated with each uploaded data area to each target conference execution node as the first preset matching parameter;
如果位于同一会议相关度区间外，则将每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数设置为第二预设匹配参数。If it is located outside the same conference relevancy interval, set the conference relevancy matching parameter of each uploaded data region associated with each target conference executing node as the second preset matching parameter.
在一种可能的示例中，所述目标会议视频信息为至少两个；In a possible example, the target conference video information is at least two;
所述根据所述目标会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度的步骤，包括：The step of predicting, according to the uploading historical behavior information of the target meeting video information, that each uploading data area is respectively associated with each target meeting execution node, includes:
根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度，在至少两个上传数据区域中确定关联于每一个目标会议执行节点的目标上传数据区域；According to the conference relevancy degree that each upload data area is associated with each target conference execution node, determine the target upload data area associated with each target conference execution node in at least two upload data areas;
使用每一个目标会议视频信息分别预测所述目标上传数据区域关联于每一个目标会议执行节点的会议相关度；Using the video information of each target conference to respectively predict the conference relevance of the target upload data area associated with each target conference execution node;
在至少两个会议相关度区间中，分别确定得到的每一个会议相关度所在的会议相关度区间；In at least two conference relevancy intervals, respectively determine the conference relevancy interval in which each of the obtained conference relevancy degrees is located;
在至少两个会议相关度区间中，确定包含的会议相关度最多的会议相关度区间；根据确定的会议相关度区间中包含的会议相关度，确定所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度。In at least two conference relevancy intervals, determine the conference relevancy interval that contains the most conference relevancy; according to the conference relevancy included in the determined conference relevancy interval, determine that the target upload data area is associated with each target conference The target meeting affinity of the execution node.
在一种可能的示例中，所述根据确定的会议相关度区间中包含的会议相关度，确定所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度，包括：In a possible example, the determining, according to the conference relevancy included in the determined conference relevancy interval, determines the target conference relevancy that the target upload data region is associated with each target conference execution node, including:
在确定的会议相关度区间中包含的会议相关度中，随机选择一个会议相关 度，并作为所述目标上传数据区域关联于所述目标会议执行节点的目标会议相关度；In the conference relevancy included in the determined conference relevancy interval, randomly select a conference relevancy, and be associated with the target conference relevancy of the target conference execution node as the target upload data area;
或者，计算确定的会议相关度区间中包含的所有会议相关度的平均概率，并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度；Or, calculate the average probability of all conference relevancy degrees included in the determined conference relevancy degree interval, and associate it with the target conference relevancy degree of each target conference execution node as the target upload data area;
或者，在确定的会议相关度区间中包含的所有会议相关度中选择最大的会议相关度，并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度。Alternatively, the largest conference relevancy degree is selected from all the conference relevancy degrees included in the determined conference relevancy degree interval, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
根据本发明实施例的另一方面，提供一种基于云计算服务的会议视频信息上传系统，应用于服务器，所述服务器与会议视频服务设备通信连接，所述系统包括：According to another aspect of the embodiments of the present invention, a system for uploading conference video information based on cloud computing services is provided, which is applied to a server, where the server is communicatively connected to a conference video service device, and the system includes:
获取模块，用于获取待上传会议视频信息和至少两个上传数据区域，并获取基于云计算服务的会议视频信息上传类别与所述待上传会议视频信息的基于云计算服务的会议视频信息上传类别相同的目标会议视频信息；The acquisition module is used to acquire the conference video information to be uploaded and at least two upload data areas, and to acquire the conference video information upload category based on the cloud computing service and the cloud computing service-based conference video information upload category of the conference video information to be uploaded The same target conference video information;
预测模块，用于根据所述待上传会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度，并根据所述目标会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度；The prediction module is used for predicting the conference relevancy degree that each uploaded data area is respectively associated with each target conference execution node according to the uploading historical behavior information of the conference video information to be uploaded, and according to the uploading historical behavior of the target conference video information The information predicts that each uploaded data area is respectively associated with the target conference relevance of each target conference execution node;
确定模块，用于根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度，确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果。The determining module is configured to determine the conference video to be uploaded according to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node The information corresponds to the upload control result of each target conference execution node.
根据本发明实施例的另一方面，提供一种可读存储介质，该可读存储介质上存储有计算机程序，该计算机程序被处理器运行时可以执行上述的基于云计算服务的会议视频信息上传方法的步骤。According to another aspect of the embodiments of the present invention, a readable storage medium is provided, and a computer program is stored on the readable storage medium. When the computer program is run by a processor, the above-mentioned uploading of conference video information based on a cloud computing service can be performed. steps of the method.
相较于现有技术而言，本发明实施例提供的基于云计算服务的会议视频信息上传方法及系统，通过获取待上传会议视频信息和至少两个上传数据区域，并获取基于云计算服务的会议视频信息上传类别与待上传会议视频信息的基于云计算服务的会议视频信息上传类别相同的目标会议视频信息，然后根据待上传会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度，并根据目标会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度，接着根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度。如此，通对会议视频服务设备进行基于云计算服务的会议视频信息上传，从而确定待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果，以便于之后根据上传控制结果来对待上传会议视频信息进行优化。Compared with the prior art, the method and system for uploading conference video information based on cloud computing services provided by the embodiments of the present invention obtain the conference video information to be uploaded and at least two uploaded data areas, and obtain the cloud computing service-based video information. The conference video information upload category is the same as the target conference video information upload category based on the cloud computing service of the conference video information to be uploaded. Then, according to the upload history behavior information of the conference video information to be uploaded, it is predicted that each uploaded data area is respectively associated with The conference relevancy of each target conference execution node, and predicts the target conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the upload history behavior information of the target conference video information, and then according to each uploaded data area The conference relevance degree associated with each target conference execution node and the target conference relevance degree associated with each target conference execution node of each uploaded data area. In this way, the conference video service device is used to upload the conference video information based on the cloud computing service, so as to determine that the conference video information to be uploaded corresponds to the upload control result of each target conference execution node, so that the upload conference can be treated according to the upload control result later. Video information is optimized.
为使本发明实施例的上述目的、特征和优点能更明显易懂，下面将结合实施例，并配合所附附图，作详细说明。In order to make the above-mentioned objects, features and advantages of the embodiments of the present invention more obvious and easy to understand, detailed descriptions will be made below in conjunction with the embodiments and the accompanying drawings.
附图说明Description of drawings
为了更清楚地说明本发明实施例的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，应当理解，以下附图仅示出了本发明的某些实施例，因此不应被看作是对范围的限定，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他相关的附图。In order to illustrate the technical solutions of the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and therefore do not It should be regarded as a limitation of the scope, and for those of ordinary skill in the art, other related drawings can also be obtained according to these drawings without any creative effort.
图1示出了本发明实施例所提供的服务器的组件示意图；FIG. 1 shows a schematic diagram of components of a server provided by an embodiment of the present invention;
图2示出了本发明实施例所提供的基于云计算服务的会议视频信息上传方法的流程示意图；2 shows a schematic flowchart of a method for uploading conference video information based on a cloud computing service provided by an embodiment of the present invention;
图3示出了本发明实施例所提供的基于云计算服务的会议视频信息上传系统的功能模块框图。FIG. 3 shows a block diagram of functional modules of a system for uploading conference video information based on a cloud computing service provided by an embodiment of the present invention.
具体实施方式Detailed ways
为了使本技术领域的学员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅是本发明一部分实施例，而不是全部的实施例。根据本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都关联于本发明保护的范围。In order to make students in the technical field better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only These are some embodiments of the present invention, but not all embodiments. According to the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts are related to the protection scope of the present invention.
本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”等(如果存在)是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本发明的实施例例如能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。The terms "first", "second", "third", etc. (if present) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can, for example, be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having" and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those expressly listed Rather, those steps or units may include other steps or units not expressly listed or inherent to these processes, methods, products or devices.
图1示出了服务器100的示例性组件示意图。服务器100可以包括一个或多个处理器104，诸如一个或多个中央处理单元(CPU)，每个处理单元可以实现 一个或多个硬件线程。服务器100还可以包括任何存储介质106，其用于存储诸如代码、设置、数据等之类的任何种类的信息。非限制性的，比如，存储介质106可以包括以下任一项或多种组合：任何类型的RAM，任何类型的ROM，闪存设备，硬盘，光盘等。更一般地，任何存储介质都可以使用任何技术来存储信息。进一步地，任何存储介质可以提供信息的易失性或非易失性保留。进一步地，任何存储介质可以表示服务器100的固定或可移除部件。在一种情况下，当处理器104执行被存储在任何存储介质或存储介质的组合中的相关联的指令时，服务器100可以执行相关联指令的任一操作。服务器100还包括用于与任何存储介质交互的一个或多个驱动单元108，诸如硬盘驱动单元、光盘驱动单元等。FIG. 1 shows an exemplary component diagram of server 100 . Server 100 may include one or more processors 104, such as one or more central processing units (CPUs), each of which may implement one or more hardware threads. The server 100 may also include any storage medium 106 for storing any kind of information such as code, settings, data, and the like. Without limitation, for example, storage medium 106 may include any one or a combination of the following: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, and the like. More generally, any storage medium can use any technology to store information. Further, any storage medium may provide volatile or non-volatile retention of information. Further, any storage medium may represent a fixed or removable component of the server 100 . In one instance, when processor 104 executes the associated instructions stored in any storage medium or combination of storage media, server 100 may perform any operation of the associated instructions. The server 100 also includes one or more drive units 108 for interacting with any storage media, such as hard disk drive units, optical disk drive units, and the like.
服务器100还包括输入/输出110(I/O)，其用于接收各种输入(经由输入单元112)和用于提供各种输出(经由输出单元114))。一个具体输出机构可以包括呈现设备116和相关联的图形用户接口(GUI)118。服务器100还可以包括一个或多个网络接口120，其用于经由一个或多个通信单元122与其他设备交换数据。一个或多个通信总线124将上文所描述的部件耦合在一起。 Server 100 also includes input/output 110 (I/O) for receiving various inputs (via input unit 112 ) and for providing various outputs (via output unit 114 ). A specific output mechanism may include presentation device 116 and associated graphical user interface (GUI) 118 . Server 100 may also include one or more network interfaces 120 for exchanging data with other devices via one or more communication units 122 . One or more communication buses 124 couple together the components described above.
通信单元122可以以任何方式实现，例如，通过局域网、广域网(例如，因特网)、点对点连接等、或其任何组合。通信单元122可以包括由任何协议或协议组合支配的硬连线链路、无线链路、路由器、网关功能、名称服务器100等的任何组合。The communication unit 122 may be implemented in any manner, eg, via a local area network, a wide area network (eg, the Internet), a point-to-point connection, etc., or any combination thereof. Communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, etc. governed by any protocol or combination of protocols.
图2示出了本发明实施例提供的基于云计算服务的会议视频信息上传方法的流程示意图，该基于云计算服务的会议视频信息上传方法可由图1中所示的服务器100执行，该基于云计算服务的会议视频信息上传方法的详细步骤介绍 如下。FIG. 2 shows a schematic flowchart of a method for uploading conference video information based on a cloud computing service provided by an embodiment of the present invention. The method for uploading conference video information based on a cloud computing service can be executed by the server 100 shown in FIG. 1 . The detailed steps of the method for uploading conference video information of the computing service are described as follows.
步骤S110，获取待上传会议视频信息和至少两个上传数据区域，并获取基于云计算服务的会议视频信息上传类别与所述待上传会议视频信息的基于云计算服务的会议视频信息上传类别相同的目标会议视频信息；Step S110: Obtain the conference video information to be uploaded and at least two upload data areas, and obtain the same upload category of the conference video information based on the cloud computing service as the upload category of the conference video information based on the cloud computing service of the conference video information to be uploaded. Video information of the target meeting;
步骤S120，根据所述待上传会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度，并根据所述目标会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度；Step S120, predicting the conference relevancy degree that each uploaded data area is respectively associated with each target conference execution node according to the uploading historical behavior information of the conference video information to be uploaded, and predicting according to the uploading historical behavior information of the target conference video information Each uploaded data area is respectively associated with the target conference relevance of each target conference execution node;
步骤S130，根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度，确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果。Step S130, according to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node, determine the to-be-uploaded conference video information corresponds to Execute the upload control result of the node for each target conference.
基于上述步骤，本实施例通过获取待上传会议视频信息和至少两个上传数据区域，并获取基于云计算服务的会议视频信息上传类别与待上传会议视频信息的基于云计算服务的会议视频信息上传类别相同的目标会议视频信息，然后根据待上传会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度，并根据目标会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度，接着根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度。如此，通对会议视频服务设备进行基于云计算服务的会议视频信息上传，从而确定待上传会议视频信息对应于每一个目标会议执行节点的上传 控制结果，以便于之后根据上传控制结果来对待上传会议视频信息进行优化。Based on the above steps, this embodiment obtains the conference video information to be uploaded and at least two upload data areas, and obtains the upload category of the conference video information based on the cloud computing service and the conference video information upload based on the cloud computing service. Target conference video information of the same category, and then predict the conference relevance of each uploaded data area associated with each target conference execution node according to the upload history behavior information of the conference video information to be uploaded. The information predicts that each upload data area is respectively associated with the target conference relevance of each target meeting execution node, and then according to the conference relevance degree that each upload data area is associated with each target meeting execution node and each upload data area is associated with each The target conference affinity of a target conference execution node. In this way, the conference video service device is used to upload conference video information based on cloud computing services, so as to determine that the conference video information to be uploaded corresponds to the upload control result of each target conference execution node, so that the upload conference can be treated according to the upload control result later. Video information is optimized.
在一种可能的示例中，针对步骤S130，本实施例可以根据每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数，然后根据每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度的匹配参数确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果。In a possible example, for step S130, this embodiment may determine whether each uploaded data region is associated with each target conference execution node according to the target conference relevance of each uploaded data region associated with each target conference execution node. The matching parameters of the conference relevance, and then according to the matching parameters of the conference relevance that each uploaded data area is respectively associated with each target conference execution node, determine the upload control result of the to-be-uploaded conference video information corresponding to each target conference execution node .
例如，可以判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度与每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度是否位于同一会议相关度区间内。如果位于同一会议相关度区间内，则将每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数设置为第一预设匹配参数；如果位于同一会议相关度区间外，则将每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数设置为第二预设匹配参数。For example, it can be determined whether the conference relevancy of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node are within the same conference relevancy interval. If it is within the same conference relevancy interval, set the matching parameter of the conference relevancy degree associated with each uploaded data area to each target conference execution node as the first preset matching parameter; if it is outside the same conference relevancy interval, then A matching parameter of the conference relevance of each uploaded data area associated with each target conference executing node is set as a second preset matching parameter.
在一种可能的示例中，针对步骤S120，所述目标会议视频信息为至少两个本实施例可以根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度，在至少两个上传数据区域中确定关联于每一个目标会议执行节点的目标上传数据区域，然后使用每一个目标会议视频信息分别预测所述目标上传数据区域关联于每一个目标会议执行节点的会议相关度，接着在至少两个会议相关度区间中，分别确定得到的每一个会议相关度所在的会议相关度区间，同时在至少两个会议相关度区间中，确定包含的会议相关度最多的会议相关度区间。如此，可以根据确定的会议相关度区间中包含的会议相关度，确定所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度。In a possible example, for step S120, the target conference video information is at least two pieces of video information. Determine the target upload data area associated with each target conference execution node in the data area, and then use the video information of each target conference to predict the conference relevance of the target upload data area associated with each target conference execution node, and then at least In the two conference relevancy intervals, the conference relevancy interval in which each of the obtained conference relevancy degrees is located is determined respectively, and in at least two conference relevancy intervals, the conference relevancy interval containing the most conference relevancy degree is determined. In this way, according to the conference relevance included in the determined conference relevance interval, the target conference relevance of the target upload data region associated with each target meeting execution node can be determined.
例如，可以在确定的会议相关度区间中包含的会议相关度中，随机选择一个会议相关度，并作为所述目标上传数据区域关联于所述目标会议执行节点的目标会议相关度。For example, among the conference relevancy degrees included in the determined conference relevancy degree interval, a conference relevancy degree may be randomly selected and associated with the target conference relevancy degree of the target conference execution node as the target upload data area.
又例如，计算确定的会议相关度区间中包含的所有会议相关度的平均概率，并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度。For another example, the average probability of all the conference relevancy degrees included in the determined conference relevancy degree interval is calculated, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
又例如，在确定的会议相关度区间中包含的所有会议相关度中选择最大的会议相关度，并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度。For another example, the largest conference relevancy degree is selected from all the conference relevancy degrees included in the determined conference relevancy degree interval, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
图3示出了本发明实施例提供的基于云计算服务的会议视频信息上传系统200的功能模块图，该基于云计算服务的会议视频信息上传系统200实现的功能可以对应上述方法执行的步骤。该基于云计算服务的会议视频信息上传系统200可以理解为上述服务器100，或服务器100的处理器，也可以理解为独立于上述服务器100或处理器之外的在服务器100控制下实现本发明功能的组件，如图3所示，下面分别对该基于云计算服务的会议视频信息上传系统200的各个功能模块的功能进行详细阐述。3 shows a functional block diagram of the system 200 for uploading conference video information based on cloud computing services provided by an embodiment of the present invention. The functions implemented by the system 200 for uploading conference video information based on cloud computing services may correspond to the steps performed by the above method. The cloud computing service-based conference video information uploading system 200 can be understood as the above-mentioned server 100 or the processor of the server 100, and can also be understood as the implementation of the functions of the present invention under the control of the server 100 independent of the above-mentioned server 100 or the processor As shown in FIG. 3 , the functions of each functional module of the cloud computing service-based conference video information uploading system 200 will be described in detail below.
获取模块210，用于获取待上传会议视频信息和至少两个上传数据区域，并获取基于云计算服务的会议视频信息上传类别与所述待上传会议视频信息的基于云计算服务的会议视频信息上传类别相同的目标会议视频信息；The acquiring module 210 is configured to acquire the conference video information to be uploaded and at least two upload data areas, and to acquire the upload category of the conference video information based on the cloud computing service and the conference video information upload based on the cloud computing service of the conference video information to be uploaded. Video information of the target conference of the same category;
预测模块220，用于根据所述待上传会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度，并根据所述目标会议视频信息的上传历史行为信息预测每一个上传数据区域分别关 联于每一个目标会议执行节点的目标会议相关度；The prediction module 220 is configured to predict the conference relevancy degree that each uploaded data area is respectively associated with each target conference execution node according to the upload history behavior information of the conference video information to be uploaded, and according to the upload history of the target conference video information Behavior information predicts the target conference relevance of each uploaded data area associated with each target conference execution node;
确定模块230，用于根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度，确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果。The determining module 230 is configured to determine the to-be-uploaded conference according to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node The video information corresponds to the upload control result of each target conference execution node.
在一种可能的示例中，所述确定模块230通过以下方式确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果：In a possible example, the determining module 230 determines that the conference video information to be uploaded corresponds to the upload control result of each target conference execution node in the following manner:
根据每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数；According to the target conference relevance of each uploaded data area associated with each target conference execution node, determine the matching parameter of the conference relevance of each uploaded data area associated with each target conference execution node;
根据每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度的匹配参数确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果。It is determined that the video information of the to-be-uploaded conference corresponds to the upload control result of each target conference execution node according to the matching parameter of the conference relevancy that each upload data area is respectively associated with each target conference execution node.
在一种可能的示例中，所述确定模块230通过以下方式判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数：In a possible example, the determining module 230 determines the matching parameter of the conference relevance of each uploaded data area associated with each target conference execution node in the following manner:
判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度与每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度是否位于同一会议相关度区间内；Judging whether the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node are located within the same conference relevance interval;
如果位于同一会议相关度区间内，则将每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数设置为第一预设匹配参数；If it is within the same conference relevancy interval, set the matching parameter of the conference relevancy degree associated with each uploaded data area to each target conference execution node as the first preset matching parameter;
如果位于同一会议相关度区间外，则将每一个上传数据区域关联于每一个 目标会议执行节点的会议相关度的匹配参数设置为第二预设匹配参数。If it is located outside the same conference relevancy interval, the matching parameter of the conference relevancy degree associated with each uploaded data area and each target conference execution node is set as the second preset matching parameter.
在一种可能的示例中，所述目标会议视频信息为至少两个，所述预测模块220通过以下方式预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度的步骤，包括：In a possible example, the target conference video information is at least two, and the predicting module 220 predicts the target conference relevancy degree of each uploaded data area that is respectively associated with each target conference execution node in the following manner: include:
根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度，在至少两个上传数据区域中确定关联于每一个目标会议执行节点的目标上传数据区域；According to the conference relevancy degree that each upload data area is associated with each target conference execution node, determine the target upload data area associated with each target conference execution node in at least two upload data areas;
使用每一个目标会议视频信息分别预测所述目标上传数据区域关联于每一个目标会议执行节点的会议相关度；Using the video information of each target conference to respectively predict the conference relevance of the target upload data area associated with each target conference execution node;
在至少两个会议相关度区间中，分别确定得到的每一个会议相关度所在的会议相关度区间；In at least two conference relevancy intervals, respectively determine the conference relevancy interval in which each of the obtained conference relevancy degrees is located;
在至少两个会议相关度区间中，确定包含的会议相关度最多的会议相关度区间；根据确定的会议相关度区间中包含的会议相关度，确定所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度。In at least two conference relevancy intervals, determine the conference relevancy interval that contains the most conference relevancy; according to the conference relevancy included in the determined conference relevancy interval, determine that the target upload data area is associated with each target conference The target meeting affinity of the execution node.
所述预测模块220通过以下方式确定所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度：The prediction module 220 determines the target conference relevance of the target upload data region associated with each target conference execution node in the following manner:
在确定的会议相关度区间中包含的会议相关度中，随机选择一个会议相关度，并作为所述目标上传数据区域关联于所述目标会议执行节点的目标会议相关度；Among the conference relevancy degrees included in the determined conference relevancy degree interval, randomly select a conference relevancy degree and use it as the target upload data area to be associated with the target conference relevancy degree of the target conference execution node;
或者，计算确定的会议相关度区间中包含的所有会议相关度的平均概率，并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关 度；Or, calculate the average probability of all the conference relevancy degrees included in the determined conference relevancy degree interval, and be associated with the target conference relevancy degree of each target conference execution node as the target upload data area;
或者，在确定的会议相关度区间中包含的所有会议相关度中选择最大的会议相关度，并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度。Alternatively, the largest conference relevancy degree is selected from all the conference relevancy degrees included in the determined conference relevancy degree interval, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and unit described above may refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.
在本发明所提供的实施例中，应该理解到，所揭露的装置和方法，也可以通过其它的方式实现。以上所描述的装置和方法实施例仅仅是示意性的，例如，附图中的流程图和框图显示了根据本发明的多个实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段或代码的一部分，所述模块、程序段或代码的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。也应当注意，在有些作为替换的实现方式中，方框中所标注的功能也可以以不同于附图中所标注的顺序发生。例如，两个连续的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或动作的专用的根据硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。In the embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may also be implemented in other manners. The apparatus and method embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, possible implementations of systems, methods and computer program products according to various embodiments of the present invention, function and operation. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function(s) executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or actions , or can be implemented in a combination of dedicated hardware and computer instructions.
另外，在本发明各个实施例中的各功能模块可以集成在一起形成一个独立的部分，也可以是各个模块单独存在，也可以两个或两个以上模块集成形成一个独立的部分。In addition, each functional module in each embodiment of the present invention may be integrated to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.
可以替换的，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机程序指令时，全部或部分地产生按照本发明实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，DVD)、或者半导体介质(例如固态硬盘Solid State Disk(SSD))等。Alternatively, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer may be a general purpose computer, special purpose computer, computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server or data center Transmission to another website site, computer, server, or data center is by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that includes an integration of one or more available media. The usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), and the like.
需要说明的是，在本文中，术语"包括"、"包含"或者其任何其它变体意在涵盖非排它性的包含，从而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其它要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句"包括一个……"限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。It should be noted that, herein, the terms "comprising", "comprising" or any other variation thereof are intended to encompass non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not expressly listed or inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprises a..." does not preclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.
对于本领域技术人员而言，显然本发明不限于上述示范性实施例的细节，而且在不背离本发明的精神或基本特征的情况下，能够以其它的具体形式实现本发明。因此，无论从哪一点来看，均应将实施例看作是示范性的，而且是非 限制性的，本发明的范围由所附权利要求而不是上述说明限定，因此旨在将落在权利要求的等同要件的含义和范围内的所有变化囊括在本发明内。不应将权利要求中的任何附图进销存确认视为限制所涉及的权利要求。It will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, but that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the invention is to be defined by the appended claims rather than the foregoing description, which are therefore intended to fall within the scope of the claims. All changes within the meaning and scope of the equivalents of , are included in the present invention. Any drawing confirmation in a claim should not be construed as limiting the involved claim.

Claims (2)

  1. 一种基于云计算服务的会议视频信息上传方法，其特征在于，应用于服务器，所述服务器与会议视频服务设备通信连接，所述方法包括：A method for uploading conference video information based on cloud computing services, characterized in that it is applied to a server, and the server is communicatively connected to a conference video service device, and the method includes:
    获取待上传会议视频信息和至少两个上传数据区域，并获取基于云计算服务的会议视频信息上传类别与所述待上传会议视频信息的基于云计算服务的会议视频信息上传类别相同的目标会议视频信息；Obtain the conference video information to be uploaded and at least two upload data areas, and obtain the target conference video of the same upload category of the conference video information based on the cloud computing service and the conference video information upload category based on the cloud computing service of the conference video information to be uploaded information;
    根据所述待上传会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度，并根据所述目标会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度；According to the upload history behavior information of the conference video information to be uploaded, predict the conference relevance of each upload data area respectively associated with each target conference execution node, and predict each upload according to the upload history behavior information of the target conference video information. The data area is respectively associated with the target conference relevance of each target conference execution node;
    根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度，确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果；According to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node, it is determined that the conference video information to be uploaded corresponds to each The upload control result of the target conference execution node;
    所述根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度，确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果的步骤，包括：According to the conference relevance degree that each upload data area is associated with each target conference execution node and the target conference relevance degree that each upload data area is associated with each target conference execution node, it is determined that the to-be-uploaded conference video information corresponds to Each target conference executes the steps of uploading the control result of the node, including:
    根据每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数；According to the target conference relevance of each uploaded data area associated with each target conference execution node, determine the matching parameter of the conference relevance of each uploaded data area associated with each target conference execution node;
    根据每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度的匹配参数确定所述待上传会议视频信息对应于每一个目标会议执行节点的 上传控制结果；According to the matching parameter of the conference relevancy degree that each upload data area is respectively associated with each target conference execution node, it is determined that the conference video information to be uploaded corresponds to the upload control result of each target conference execution node;
    所述根据每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数的步骤，包括：The step of judging the matching parameter of the conference relevance of each uploaded data area associated with each target conference execution node according to the target conference relevance of each uploaded data area associated with each target conference execution node includes:
    判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度与每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度是否位于同一会议相关度区间内；Judging whether the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node are located within the same conference relevance interval;
    如果位于同一会议相关度区间内，则将每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数设置为第一预设匹配参数；If it is within the same conference relevancy interval, set the matching parameter of the conference relevancy degree associated with each uploaded data area to each target conference execution node as the first preset matching parameter;
    如果位于同一会议相关度区间外，则将每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数设置为第二预设匹配参数；If it is outside the same conference relevancy interval, set the matching parameter of the conference relevancy degree associated with each uploaded data area to each target conference execution node as the second preset matching parameter;
    所述目标会议视频信息为至少两个；The target conference video information is at least two;
    所述根据所述目标会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度的步骤，包括：The step of predicting, according to the uploading historical behavior information of the target meeting video information, that each uploading data area is respectively associated with each target meeting execution node, includes:
    根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度，在至少两个上传数据区域中确定关联于每一个目标会议执行节点的目标上传数据区域；According to the conference relevancy degree that each upload data area is associated with each target conference execution node, determine the target upload data area associated with each target conference execution node in at least two upload data areas;
    使用每一个目标会议视频信息分别预测所述目标上传数据区域关联于每一个目标会议执行节点的会议相关度；Using the video information of each target conference to respectively predict the conference relevance of the target upload data area associated with each target conference execution node;
    在至少两个会议相关度区间中，分别确定得到的每一个会议相关度所在的会议相关度区间；In at least two conference relevancy intervals, respectively determine the conference relevancy interval in which each of the obtained conference relevancy degrees is located;
    在至少两个会议相关度区间中，确定包含的会议相关度最多的会议相关度区间；根据确定的会议相关度区间中包含的会议相关度，确定所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度；In at least two conference relevancy intervals, determine the conference relevancy interval that contains the most conference relevancy; according to the conference relevancy included in the determined conference relevancy interval, determine that the target upload data area is associated with each target conference The target meeting relevance of the execution node;
    所述根据确定的会议相关度区间中包含的会议相关度，确定所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度，包括：Determining, according to the conference relevancy included in the determined conference relevancy interval, the target conference relevancy that the target upload data area is associated with each target conference execution node, including:
    在确定的会议相关度区间中包含的会议相关度中，随机选择一个会议相关度，并作为所述目标上传数据区域关联于所述目标会议执行节点的目标会议相关度；Among the conference relevancy degrees included in the determined conference relevancy degree interval, randomly select a conference relevancy degree and use it as the target upload data area to be associated with the target conference relevancy degree of the target conference execution node;
    或者，计算确定的会议相关度区间中包含的所有会议相关度的平均概率，并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度；Or, calculate the average probability of all conference relevancy degrees included in the determined conference relevancy degree interval, and associate it with the target conference relevancy degree of each target conference execution node as the target upload data area;
    或者，在确定的会议相关度区间中包含的所有会议相关度中选择最大的会议相关度，并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度。Alternatively, the largest conference relevancy degree is selected from all the conference relevancy degrees included in the determined conference relevancy degree interval, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
  2. 一种基于云计算服务的会议视频信息上传系统，其特征在于，应用于服务器，所述服务器与会议视频服务设备通信连接，所述系统包括：A system for uploading conference video information based on cloud computing services, characterized in that it is applied to a server, and the server is communicatively connected to a conference video service device, and the system includes:
    获取模块，用于获取待上传会议视频信息和至少两个上传数据区域，并获取基于云计算服务的会议视频信息上传类别与所述待上传会议视频信息的基于云计算服务的会议视频信息上传类别相同的目标会议视频信息；The acquisition module is used to acquire the conference video information to be uploaded and at least two upload data areas, and to acquire the conference video information upload category based on the cloud computing service and the cloud computing service-based conference video information upload category of the conference video information to be uploaded The same target conference video information;
    预测模块，用于根据所述待上传会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度，并根据 所述目标会议视频信息的上传历史行为信息预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度；The prediction module is used for predicting the conference relevancy degree that each uploaded data area is respectively associated with each target conference execution node according to the uploading historical behavior information of the conference video information to be uploaded, and according to the uploading historical behavior of the target conference video information The information predicts that each uploaded data area is respectively associated with the target conference relevance of each target conference execution node;
    确定模块，用于根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度和每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度，确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果；The determining module is configured to determine the conference video to be uploaded according to the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node The information corresponds to the upload control result of each target conference execution node;
    所述确定模块通过以下方式确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果：The determining module determines that the video information of the to-be-uploaded conference corresponds to the upload control result of each target conference execution node:
    根据每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数；According to the target conference relevance of each uploaded data area associated with each target conference execution node, determine the matching parameter of the conference relevance of each uploaded data area associated with each target conference execution node;
    根据每一个上传数据区域分别关联于每一个目标会议执行节点的会议相关度的匹配参数确定所述待上传会议视频信息对应于每一个目标会议执行节点的上传控制结果；Determine the upload control result of the to-be-uploaded conference video information corresponding to each target conference execution node according to the matching parameter of the conference relevancy that each upload data area is respectively associated with each target conference execution node;
    所述确定模块通过以下方式判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数：The determining module judges the matching parameter of the conference relevancy degree that each uploaded data area is associated with each target conference execution node in the following manner:
    判断每一个上传数据区域关联于每一个目标会议执行节点的会议相关度与每一个上传数据区域关联于每一个目标会议执行节点的目标会议相关度是否位于同一会议相关度区间内；Judging whether the conference relevance of each uploaded data area associated with each target conference execution node and the target conference relevance of each uploaded data area associated with each target conference execution node are located within the same conference relevance interval;
    如果位于同一会议相关度区间内，则将每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数设置为第一预设匹配参数；If it is within the same conference relevancy interval, set the matching parameter of the conference relevancy degree associated with each uploaded data area to each target conference execution node as the first preset matching parameter;
    如果位于同一会议相关度区间外，则将每一个上传数据区域关联于每一个目标会议执行节点的会议相关度的匹配参数设置为第二预设匹配参数；If it is outside the same conference relevancy interval, set the matching parameter of the conference relevancy degree associated with each uploaded data area to each target conference execution node as the second preset matching parameter;
    所述目标会议视频信息为至少两个；The target conference video information is at least two;
    所述预测模块通过以下方式预测每一个上传数据区域分别关联于每一个目标会议执行节点的目标会议相关度的步骤，包括：The predicting module predicts that each uploaded data area is respectively associated with the target conference relevance of each target conference execution node in the following manner, including:
    根据每一个上传数据区域关联于每一个目标会议执行节点的会议相关度，在至少两个上传数据区域中确定关联于每一个目标会议执行节点的目标上传数据区域；According to the conference relevancy degree that each upload data area is associated with each target conference execution node, determine the target upload data area associated with each target conference execution node in at least two upload data areas;
    使用每一个目标会议视频信息分别预测所述目标上传数据区域关联于每一个目标会议执行节点的会议相关度；Using the video information of each target conference to respectively predict the conference relevance of the target upload data area associated with each target conference execution node;
    在至少两个会议相关度区间中，分别确定得到的每一个会议相关度所在的会议相关度区间；In at least two conference relevancy intervals, respectively determine the conference relevancy interval in which each of the obtained conference relevancy degrees is located;
    在至少两个会议相关度区间中，确定包含的会议相关度最多的会议相关度区间；根据确定的会议相关度区间中包含的会议相关度，确定所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度；In at least two conference relevancy intervals, determine the conference relevancy interval that contains the most conference relevancy; according to the conference relevancy included in the determined conference relevancy interval, determine that the target upload data area is associated with each target conference The target meeting relevance of the execution node;
    所述预测模块通过以下方式确定所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度：The prediction module determines the target conference relevance of the target upload data region associated with each target conference execution node in the following manner:
    在确定的会议相关度区间中包含的会议相关度中，随机选择一个会议相关度，并作为所述目标上传数据区域关联于所述目标会议执行节点的目标会议相关度；Among the conference relevancy degrees included in the determined conference relevancy degree interval, randomly select a conference relevancy degree and use it as the target upload data area to be associated with the target conference relevancy degree of the target conference execution node;
    或者，计算确定的会议相关度区间中包含的所有会议相关度的平均概率， 并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度；Or, calculate the average probability of all the conference relevancy degrees included in the determined conference relevancy degree interval, and associate it with the target conference relevancy degree of each target conference execution node as the target upload data area;
    或者，在确定的会议相关度区间中包含的所有会议相关度中选择最大的会议相关度，并作为所述目标上传数据区域关联于每一个目标会议执行节点的目标会议相关度。Alternatively, the largest conference relevancy degree is selected from all the conference relevancy degrees included in the determined conference relevancy degree interval, and is associated with the target conference relevancy degree of each target conference execution node as the target upload data area.
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