CN113179289B - 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 PDFInfo
- Publication number
- CN113179289B CN113179289B CN202011255774.0A CN202011255774A CN113179289B CN 113179289 B CN113179289 B CN 113179289B CN 202011255774 A CN202011255774 A CN 202011255774A CN 113179289 B CN113179289 B CN 113179289B
- Authority
- CN
- China
- Prior art keywords
- conference
- relevancy
- target
- execution node
- data area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
Abstract
The embodiment of the invention provides a conference video information uploading method and system based on cloud computing service, which are used for uploading conference video information based on cloud computing service to conference video service equipment, so that the uploading control result of the conference video information to be uploaded corresponding to each target conference execution node is determined, and the conference video information to be uploaded is optimized according to the uploading control result.
Description
Technical Field
The invention relates to the technical field of conference video information uploading based on cloud computing service, in particular to a conference video information uploading method and system based on cloud computing service.
Background
In the process of uploading conference video information based on cloud computing service, how to improve the accuracy of intelligent uploading is an important factor which must be considered, so that the method is very important for conference video information uploading based on cloud computing service of conference video service equipment.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method and a system for uploading conference video information based on a cloud computing service, which are used for uploading conference video information based on the cloud computing service to a conference video service device, so as to determine an upload control result of conference video information to be uploaded corresponding to each target conference execution node, so as to optimize the conference video information to be uploaded according to the upload control result.
According to an aspect of the embodiment of the invention, a conference video information uploading method based on cloud computing service is provided, and is applied to a server, wherein the server is in communication connection with conference video service equipment, and the method comprises the following steps:
acquiring conference video information to be uploaded and at least two uploading data areas, and acquiring target conference video information of which the conference video information uploading category based on cloud computing service is the same as that of the conference video information to be uploaded based on the cloud computing service;
predicting the conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the uploading historical behavior information of the to-be-uploaded conference video information, and predicting the target conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the uploading historical behavior information of the target conference video information;
and determining an uploading control result of the conference video information to be uploaded corresponding to each target conference execution node according to the conference relevancy of each uploading data area associated with each target conference execution node and the target conference relevancy of each uploading data area associated with each target conference execution node.
In a possible example, the step of determining, according to the conference relevancy of each upload data area associated with each target conference execution node and the target conference relevancy of each upload data area associated with each target conference execution node, an upload control result of the to-be-uploaded conference video information corresponding to each target conference execution node includes:
judging matching parameters of the conference relevancy of each uploading data area associated with each target conference execution node according to the target conference relevancy of each uploading data area associated with each target conference execution node;
and determining an uploading control result of the conference video information to be uploaded corresponding to each target conference execution node according to the matching parameters of the conference relevancy of each uploading data area respectively related to each target conference execution node.
In a possible example, the step of determining, according to the target conference relevancy of each upload data area associated with each target conference execution node, a matching parameter of the conference relevancy of each upload data area associated with each target conference execution node includes:
judging whether the conference relevancy of each uploading data area related to each target conference execution node and the target conference relevancy of each uploading data area related to each target conference execution node are located in the same conference relevancy interval;
if the uploaded data areas are located in the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as first preset matching parameters;
and if the uploaded data areas are located outside the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as second preset matching parameters.
In one possible example, the target conference video information is at least two;
the step of predicting the target conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the uploading historical behavior information of the target conference video information comprises the following steps:
determining a target uploading data area associated with each target conference execution node in at least two uploading data areas according to the conference relevancy of each uploading data area associated with each target conference execution node;
predicting conference relevancy of the target uploading data area relative to each target conference execution node by using each target conference video information;
in at least two conference relevancy intervals, respectively determining a conference relevancy interval where each obtained conference relevancy is located;
determining a conference relevancy interval with the highest conference relevancy among at least two conference relevancy intervals; and determining the target conference relevancy of the target uploading data area related to each target conference execution node according to the conference relevancy contained in the determined conference relevancy interval.
In a possible example, the determining, according to the meeting relevance included in the determined meeting relevance interval, the target meeting relevance of the target upload data area associated with each target meeting execution node includes:
randomly selecting one conference relevancy from the conference relevancy included in the determined conference relevancy intervals, and using the selected conference relevancy as a target conference relevancy of the target uploading data area associated with the target conference execution node;
or calculating the average probability of all the conference relevancy included in the determined conference relevancy interval, and taking the average probability as the target conference relevancy of the target uploading data area associated with each target conference execution node;
or selecting the maximum conference relevancy among all the conference relevancy included in the determined conference relevancy interval, and using the maximum conference relevancy as the target conference relevancy of the target upload data area associated with each target conference execution node.
According to another aspect of the embodiments of the present invention, there is provided a conference video information uploading system based on a cloud computing service, which is applied to a server, where the server is in communication connection with a conference video service device, and the system includes:
the acquisition module is used for acquiring conference video information to be uploaded and at least two uploading data areas, and acquiring target conference video information of which the conference video information uploading category based on the cloud computing service is the same as the conference video information uploading category based on the cloud computing service of the conference video information to be uploaded;
the prediction module is used for predicting the conference relevancy of each uploading data area respectively associated with each target conference execution node according to the uploading historical behavior information of the to-be-uploaded conference video information and predicting the target conference relevancy of each uploading data area respectively associated with each target conference execution node according to the uploading historical behavior information of the target conference video information;
and the determining module is used for determining an uploading control result of the to-be-uploaded conference video information corresponding to each target conference execution node according to the conference relevancy of each uploading data area associated with each target conference execution node and the target conference relevancy of each uploading data area associated with each target conference execution node.
According to another aspect of the embodiments of the present invention, a readable storage medium is provided, where a computer program is stored on the readable storage medium, and when the computer program is executed by a processor, the computer program may perform the steps of the conference video information uploading method based on a cloud computing service.
Compared with the prior art, the conference video information uploading method and system based on the cloud computing service provided by the embodiment of the invention obtain the conference video information to be uploaded and at least two uploading data areas, obtain the target conference video information with the same uploading category of the conference video information based on the cloud computing service as that of the conference video information to be uploaded based on the cloud computing service, predict the conference relevancy of each uploading data area respectively associated with each target conference execution node according to the uploading historical behavior information of the conference video information to be uploaded, predict the target conference relevancy of each uploading data area respectively associated with each target conference execution node according to the uploading historical behavior information of the target conference video information, and then predict the conference relevancy of each uploading data area associated with each target conference execution node and each uploading data area associated with each target conference execution node according to the conference relevancy of each uploading data area and each uploading data area Target meeting relevancy of the target meeting execution node. In this way, conference video information uploading based on cloud computing service is performed on the conference video service equipment, so that the uploading control result of the conference video information to be uploaded corresponding to each target conference execution node is determined, and then the conference video information to be uploaded is optimized according to the uploading control result.
In order to make the aforementioned objects, features and advantages of the embodiments of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 illustrates a component diagram of a server provided by an embodiment of the invention;
fig. 2 is a flowchart illustrating a conference video information uploading method based on a cloud computing service according to an embodiment of the present invention;
fig. 3 shows a functional module block diagram of a conference video information uploading system based on a cloud computing service provided by an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by the scholars in the technical field, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, are relevant to the protection scope of the present invention.
The terms "first," "second," "third," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 shows an exemplary component schematic of a server 100. The 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 media 106 for storing any kind of information, such as code, settings, data, etc. For example, and without limitation, storage medium 106 may include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any storage medium may 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 server 100. In one case, when the processor 104 executes the associated instructions stored in any storage medium or combination of storage media, the server 100 may perform any of the operations of the associated instructions. The server 100 further comprises one or more drive units 108 for interacting with any storage medium, such as a hard disk drive unit, an optical disk drive unit, etc.
The 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)). One particular output mechanism may include a presentation device 116 and an associated Graphical User Interface (GUI) 118. The 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 the above-described components together.
The communication unit 122 may be implemented in any manner, such as over a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. The communication unit 122 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers 100, and so forth, governed by any protocol or combination of protocols.
Fig. 2 is a flowchart illustrating a conference video information uploading method based on a cloud computing service according to an embodiment of the present invention, where the conference video information uploading method based on a cloud computing service can be executed by the server 100 shown in fig. 1, and the detailed steps of the conference video information uploading method based on a cloud computing service are described as follows.
Step S110, acquiring conference video information to be uploaded and at least two uploading data areas, and acquiring target conference video information of which the conference video information uploading category based on cloud computing service is the same as the conference video information uploading category based on cloud computing service of the conference video information to be uploaded;
step S120, predicting conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the uploading historical behavior information of the to-be-uploaded conference video information, and predicting target conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the uploading historical behavior information of the target conference video information;
step S130, determining an upload control result of the to-be-uploaded conference video information corresponding to each target conference execution node according to the conference relevancy of each upload data area associated with each target conference execution node and the target conference relevancy of each upload data area associated with each target conference execution node.
Based on the above steps, the present embodiment obtains the conference video information to be uploaded and at least two uploading data areas, and acquiring target conference video information with the same conference video information uploading category of the cloud computing service-based conference video information as that of the cloud computing service-based conference video information to be uploaded, then predicting the conference relevancy of each uploaded data area respectively related to each target conference execution node according to the uploading historical behavior information of the video information of the conference to be uploaded, and predicts the target conference relevancy of each uploaded data area respectively related to each target conference execution node according to the uploading historical behavior information of the target conference video information, and then according to the conference relevancy of each uploading data area relative to each target conference execution node and the target conference relevancy of each uploading data area relative to each target conference execution node. In this way, conference video information uploading based on cloud computing service is performed on the conference video service equipment, so that the uploading control result of the conference video information to be uploaded corresponding to each target conference execution node is determined, and then the conference video information to be uploaded is optimized according to the uploading control result.
In a possible example, for step S130, the embodiment may determine, according to the target conference relevancy of each upload data area associated with each target conference execution node, a matching parameter of the conference relevancy of each upload data area associated with each target conference execution node, and then determine, according to the matching parameter of the conference relevancy of each upload data area respectively associated with each target conference execution node, an upload control result of the to-be-uploaded conference video information corresponding to each target conference execution node.
For example, it may be determined whether the conference relevancy of each upload data area associated with each target conference execution node and the target conference relevancy of each upload data area associated with each target conference execution node are within the same conference relevancy interval. If the uploaded data areas are located in the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as first preset matching parameters; and if the uploaded data areas are located outside the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as second preset matching parameters.
In a possible example, for step S120, the target conference video information is at least two pieces of conference relevancy information, where the target upload data area associated with each target conference execution node is determined in the at least two upload data areas according to the conference relevancy of each upload data area associated with each target conference execution node, then the conference relevancy of the target upload data area associated with each target conference execution node is predicted respectively by using each piece of target conference video information, then, in at least two conference relevancy intervals, a conference relevancy interval where each obtained conference relevancy is located is determined respectively, and at the same time, in the at least two conference relevancy intervals, a conference relevancy interval containing the largest conference relevancy is determined. In this way, the target conference relevancy of the target upload data area associated with each target conference execution node can be determined according to the conference relevancy included in the determined conference relevancy interval.
For example, one conference relevancy may be randomly selected from the conference relevancy included in the determined conference relevancy interval, and the selected conference relevancy is used as the target conference relevancy of the target upload data area associated with the target conference execution node.
For another example, an average probability of all meeting relevancy included in the determined meeting relevancy interval is calculated, and the average probability is used as the target meeting relevancy of the target uploading data area associated with each target meeting execution node.
For another example, the maximum conference relevancy is selected from all the conference relevancy included in the determined conference relevancy interval, and the maximum conference relevancy is used as the target conference relevancy of the target upload data area associated with each target conference execution node.
Fig. 3 shows a functional block diagram of a conference video information uploading system 200 based on a cloud computing service according to an embodiment of the present invention, where the functions implemented by the conference video information uploading system 200 based on the cloud computing service may correspond to the steps executed by the foregoing method. The cloud computing service based conference video information uploading system 200 may be understood as the server 100 or a processor of the server 100, or may be understood as a component that is independent from the server 100 or the processor and implements the functions of the present invention under the control of the server 100, as shown in fig. 3, and the functions of the functional modules of the cloud computing service based conference video information uploading system 200 are described in detail below.
The acquisition module 210 is configured to acquire conference video information to be uploaded and at least two upload data areas, and acquire target conference video information of which the conference video information upload category based on a cloud computing service is the same as the conference video information upload category based on the cloud computing service of the conference video information to be uploaded;
the prediction module 220 is configured to predict, according to the uploading historical behavior information of the to-be-uploaded conference video information, a conference relevancy of each uploading data area, which is respectively associated with each target conference execution node, and predict, according to the uploading historical behavior information of the target conference video information, a target conference relevancy of each uploading data area, which is respectively associated with each target conference execution node;
the determining module 230 is configured to determine, according to the conference relevancy of each upload data area associated with each target conference execution node and the target conference relevancy of each upload data area associated with each target conference execution node, an upload control result of the to-be-uploaded conference video information corresponding to each target conference execution node.
In one possible example, the determining module 230 determines that the to-be-uploaded conference video information corresponds to the upload control result of each target conference execution node by:
judging matching parameters of the conference relevancy of each uploading data area associated with each target conference execution node according to the target conference relevancy of each uploading data area associated with each target conference execution node;
and determining an uploading control result of the conference video information to be uploaded corresponding to each target conference execution node according to the matching parameters of the conference relevancy of each uploading data area respectively related to each target conference execution node.
In one possible example, the determining module 230 determines the matching parameter of the conference relevancy of each upload data area associated with each target conference executing node by:
judging whether the conference relevancy of each uploading data area related to each target conference execution node and the target conference relevancy of each uploading data area related to each target conference execution node are located in the same conference relevancy interval;
if the uploaded data areas are located in the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as first preset matching parameters;
and if the uploaded data areas are located outside the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as second preset matching parameters.
In a possible example, the target conference video information is at least two, and the step of predicting, by the prediction module 220, the target conference relevancy of each upload data area respectively associated with each target conference execution node includes:
determining a target uploading data area associated with each target conference execution node in at least two uploading data areas according to the conference relevancy of each uploading data area associated with each target conference execution node;
predicting conference relevancy of the target uploading data area relative to each target conference execution node by using each target conference video information;
in at least two conference relevancy intervals, respectively determining a conference relevancy interval where each obtained conference relevancy is located;
determining a conference relevancy interval with the highest conference relevancy among at least two conference relevancy intervals; and determining the target conference relevancy of the target uploading data area related to each target conference execution node according to the conference relevancy contained in the determined conference relevancy interval.
The prediction module 220 determines a target meeting relevancy of the target upload data area associated with each target meeting execution node by:
randomly selecting one conference relevancy from the conference relevancy included in the determined conference relevancy intervals, and using the selected conference relevancy as a target conference relevancy of the target uploading data area associated with the target conference execution node;
or calculating the average probability of all the conference relevancy included in the determined conference relevancy interval, and taking the average probability as the target conference relevancy of the target uploading data area associated with each target conference execution node;
or selecting the maximum conference relevancy among all the conference relevancy included in the determined conference relevancy interval, and using the maximum conference relevancy as the target conference relevancy of the target upload data area associated with each target conference execution node.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). 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 shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may 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 loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any drawing credit or debit acknowledgement in the claims should not be construed as limiting the claim concerned.
Claims (2)
1. A conference video information uploading method based on cloud computing service is applied to a server, the server is in communication connection with conference video service equipment, and the method comprises the following steps:
acquiring conference video information to be uploaded and at least two uploading data areas, and acquiring target conference video information of which the conference video information uploading category based on cloud computing service is the same as that of the conference video information to be uploaded based on the cloud computing service;
predicting the conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the uploading historical behavior information of the to-be-uploaded conference video information, and predicting the target conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the uploading historical behavior information of the target conference video information;
determining an uploading control result of the to-be-uploaded conference video information corresponding to each target conference execution node according to the conference relevancy of each uploading data area associated with each target conference execution node and the target conference relevancy of each uploading data area associated with each target conference execution node;
the step of determining the uploading control result of the conference video information to be uploaded corresponding to each target conference execution node according to the conference relevancy of each uploading data area associated with each target conference execution node and the target conference relevancy of each uploading data area associated with each target conference execution node comprises:
judging matching parameters of the conference relevancy of each uploading data area associated with each target conference execution node according to the target conference relevancy of each uploading data area associated with each target conference execution node;
determining an uploading control result of the to-be-uploaded conference video information corresponding to each target conference execution node according to matching parameters of conference relevancy of each uploading data area respectively related to each target conference execution node;
the step of judging matching parameters of the conference relevancy of each upload data area associated with each target conference execution node according to the target conference relevancy of each upload data area associated with each target conference execution node includes:
judging whether the conference relevancy of each uploading data area related to each target conference execution node and the target conference relevancy of each uploading data area related to each target conference execution node are located in the same conference relevancy interval;
if the uploaded data areas are located in the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as first preset matching parameters;
if the uploaded data areas are located outside the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as second preset matching parameters;
the number of the target conference video information is at least two;
the step of predicting the target conference relevancy of each uploaded data area respectively associated with each target conference execution node according to the uploading historical behavior information of the target conference video information comprises the following steps:
determining a target uploading data area associated with each target conference execution node in at least two uploading data areas according to the conference relevancy of each uploading data area associated with each target conference execution node;
predicting conference relevancy of the target uploading data area relative to each target conference execution node by using each target conference video information;
in at least two conference relevancy intervals, respectively determining a conference relevancy interval where each obtained conference relevancy is located;
determining a conference relevancy interval with the highest conference relevancy among at least two conference relevancy intervals; determining the target conference relevancy of the target uploading data area related to each target conference execution node according to the conference relevancy contained in the determined conference relevancy interval;
the determining the target conference relevancy of the target upload data area associated with each target conference execution node according to the conference relevancy included in the determined conference relevancy interval includes:
randomly selecting one conference relevancy from the conference relevancy included in the determined conference relevancy intervals, and using the selected conference relevancy as a target conference relevancy of the target uploading data area associated with the target conference execution node;
or calculating the average probability of all the conference relevancy included in the determined conference relevancy interval, and taking the average probability as the target conference relevancy of the target uploading data area associated with each target conference execution node;
or selecting the maximum conference relevancy among all the conference relevancy included in the determined conference relevancy interval, and using the maximum conference relevancy as the target conference relevancy of the target upload data area associated with each target conference execution node.
2. A conference video information uploading system based on cloud computing service is applied to a server, the server is in communication connection with conference video service equipment, and the system comprises:
the acquisition module is used for acquiring conference video information to be uploaded and at least two uploading data areas, and acquiring target conference video information of which the conference video information uploading category based on the cloud computing service is the same as the conference video information uploading category based on the cloud computing service of the conference video information to be uploaded;
the prediction module is used for predicting the conference relevancy of each uploading data area respectively associated with each target conference execution node according to the uploading historical behavior information of the to-be-uploaded conference video information and predicting the target conference relevancy of each uploading data area respectively associated with each target conference execution node according to the uploading historical behavior information of the target conference video information;
the determining module is used for determining an uploading control result of the to-be-uploaded conference video information corresponding to each target conference execution node according to the conference relevancy of each uploading data area associated with each target conference execution node and the target conference relevancy of each uploading data area associated with each target conference execution node;
the determining module determines an uploading control result of the conference video information to be uploaded corresponding to each target conference execution node by the following method:
judging matching parameters of the conference relevancy of each uploading data area associated with each target conference execution node according to the target conference relevancy of each uploading data area associated with each target conference execution node;
determining an uploading control result of the to-be-uploaded conference video information corresponding to each target conference execution node according to matching parameters of conference relevancy of each uploading data area respectively related to each target conference execution node;
the determining module determines a matching parameter of the conference relevancy of each upload data area relative to each target conference execution node by the following method:
judging whether the conference relevancy of each uploading data area related to each target conference execution node and the target conference relevancy of each uploading data area related to each target conference execution node are located in the same conference relevancy interval;
if the uploaded data areas are located in the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as first preset matching parameters;
if the uploaded data areas are located outside the same conference relevancy interval, setting the matching parameters of the conference relevancy of each uploaded data area and each target conference execution node as second preset matching parameters;
the number of the target conference video information is at least two;
the prediction module predicts the target conference relevancy of each uploaded data area respectively associated with each target conference execution node in the following way, and the prediction module comprises the following steps of:
determining a target uploading data area associated with each target conference execution node in at least two uploading data areas according to the conference relevancy of each uploading data area associated with each target conference execution node;
predicting conference relevancy of the target uploading data area relative to each target conference execution node by using each target conference video information;
in at least two conference relevancy intervals, respectively determining a conference relevancy interval where each obtained conference relevancy is located;
determining a conference relevancy interval with the highest conference relevancy among at least two conference relevancy intervals; determining the target conference relevancy of the target uploading data area related to each target conference execution node according to the conference relevancy contained in the determined conference relevancy interval;
the prediction module determines a target meeting relevancy of the target upload data area associated with each target meeting execution node by:
randomly selecting one conference relevancy from the conference relevancy included in the determined conference relevancy intervals, and using the selected conference relevancy as a target conference relevancy of the target uploading data area associated with the target conference execution node;
or calculating the average probability of all the conference relevancy included in the determined conference relevancy interval, and taking the average probability as the target conference relevancy of the target uploading data area associated with each target conference execution node;
or selecting the maximum conference relevancy among all the conference relevancy included in the determined conference relevancy interval, and using the maximum conference relevancy as the target conference relevancy of the target upload data area associated with each target conference execution node.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011255774.0A CN113179289B (en) | 2020-11-11 | 2020-11-11 | Conference video information uploading method and system based on cloud computing service |
| PCT/CN2020/130273 WO2022099753A1 (en) | 2020-11-11 | 2020-11-20 | Conference video information uploading method and system based on cloud computing service |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011255774.0A CN113179289B (en) | 2020-11-11 | 2020-11-11 | Conference video information uploading method and system based on cloud computing service |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113179289A CN113179289A (en) | 2021-07-27 |
| CN113179289B true CN113179289B (en) | 2021-10-01 |
Family
ID=76921560
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011255774.0A Active CN113179289B (en) | 2020-11-11 | 2020-11-11 | Conference video information uploading method and system based on cloud computing service |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN113179289B (en) |
| WO (1) | WO2022099753A1 (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103942275A (en) * | 2014-03-27 | 2014-07-23 | 百度在线网络技术（北京）有限公司 | Video identification method and device |
| CN109344325A (en) * | 2018-09-04 | 2019-02-15 | 广州视源电子科技股份有限公司 | The recommended method and device of information based on intelligent meeting plate |
| CN111615007A (en) * | 2020-05-27 | 2020-09-01 | 北京达佳互联信息技术有限公司 | Video display method, device and system |
| CN111783712A (en) * | 2020-07-09 | 2020-10-16 | 腾讯科技（深圳）有限公司 | Video processing method, device, equipment and medium |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8171030B2 (en) * | 2007-06-18 | 2012-05-01 | Zeitera, Llc | Method and apparatus for multi-dimensional content search and video identification |
| US20170180436A1 (en) * | 2014-06-05 | 2017-06-22 | Telefonaktiebolaget Lm Ericsson (Publ) | Upload of Multimedia Content |
| CN109922356B (en) * | 2019-03-01 | 2021-07-09 | 广州酷狗计算机科技有限公司 | Video recommendation method and device and computer-readable storage medium |
| CN110430386B (en) * | 2019-07-26 | 2020-08-11 | 四川新东盛科技发展有限公司 | Video conference system based on cloud resource pool technology and working method thereof |
| CN111405234A (en) * | 2020-04-17 | 2020-07-10 | 杭州大轶科技有限公司 | Video conference information system and method with integration of cloud computing and edge computing |
| CN111417001B (en) * | 2020-04-26 | 2022-02-08 | 北京达佳互联信息技术有限公司 | Video transmission method, device, server and storage medium |
| CN111601115B (en) * | 2020-05-12 | 2022-03-01 | 腾讯科技（深圳）有限公司 | Video detection method, related device, equipment and storage medium |
-
2020
- 2020-11-11 CN CN202011255774.0A patent/CN113179289B/en active Active
- 2020-11-20 WO PCT/CN2020/130273 patent/WO2022099753A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103942275A (en) * | 2014-03-27 | 2014-07-23 | 百度在线网络技术（北京）有限公司 | Video identification method and device |
| CN109344325A (en) * | 2018-09-04 | 2019-02-15 | 广州视源电子科技股份有限公司 | The recommended method and device of information based on intelligent meeting plate |
| CN111615007A (en) * | 2020-05-27 | 2020-09-01 | 北京达佳互联信息技术有限公司 | Video display method, device and system |
| CN111783712A (en) * | 2020-07-09 | 2020-10-16 | 腾讯科技（深圳）有限公司 | Video processing method, device, equipment and medium |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022099753A1 (en) | 2022-05-19 |
| CN113179289A (en) | 2021-07-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113179289B (en) | Conference video information uploading method and system based on cloud computing service | |
| CN111274437B (en) | Video material resource management method and system based on Internet | |
| CN113221011A (en) | Intelligent office information pushing method and system based on big data | |
| CN111898030A (en) | Intelligent recommendation method and system for science and technology project object | |
| CN111353703A (en) | Intelligent production process control method and system | |
| CN111324753A (en) | Media information publishing management method and system | |
| CN113282823A (en) | Hot topic tracking method and system based on artificial intelligence | |
| CN111144035A (en) | Environment-friendly simulation method and system | |
| CN110976235B (en) | Electrostatic powder spraying treatment method and system | |
| CN113901020A (en) | Database remote backup method and system | |
| CN111338275B (en) | Method and system for monitoring running state of electrical equipment | |
| CN113902235A (en) | Intelligent traffic information scheduling method and system based on cloud computing service | |
| CN111767437B (en) | Enterprise science and technology project management method and system | |
| CN112052279A (en) | Data mining method and system based on big data | |
| CN111949677A (en) | Intelligent retrieval recommendation method and system for scientific and technological project data | |
| CN111178569A (en) | Office meeting management method and system | |
| CN114462704A (en) | Resource prediction method and system for fabric supply chain | |
| CN113901364A (en) | Webpage graph rendering method and system based on cloud computing service | |
| CN113905046A (en) | Cloud server remote monitoring method and system | |
| CN111340448A (en) | Scientific and technological information policy issuing method and system | |
| CN113282924A (en) | Method and system for detecting malicious behaviors of software | |
| CN113901363A (en) | Cloud server information analysis method and system | |
| CN111917889A (en) | Intelligent scene recognition method and system based on big data | |
| CN111353081A (en) | Intelligent monitoring method and system for scientific and technological achievement transformation data | |
| CN113099585A (en) | Light dimming control method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20221130 Address after: 215400 No. 162 Renmin South Road, Chengxiang Town, Taicang City, Suzhou, Jiangsu Patentee after: TAICANG CITY LVDIAN INFORMATION TECHNOLOGY Co.,Ltd. Address before: 215513 No. 6-1, research institute road, Changshu Economic and Technological Development Zone, Suzhou City, Jiangsu Province Patentee before: Suzhou Zhiyun Chuangyu Information Technology Co.,Ltd. |
|
| TR01 | Transfer of patent right |