WO2023029846A1

WO2023029846A1 - Multimedia resource uploading method and apparatus, electronic device, and readable storage medium

Info

Publication number: WO2023029846A1
Application number: PCT/CN2022/109178
Authority: WO
Inventors: 王彬; 严冰; 申明明; 王用
Original assignee: 北京字跳网络技术有限公司
Priority date: 2021-09-06
Filing date: 2022-07-29
Publication date: 2023-03-09
Also published as: CN113747245A

Abstract

Embodiments of the present disclosure provide a multimedia resource uploading method and apparatus, an electronic device, a computer-readable storage medium, a computer program product, and a computer program. The method comprises: obtaining a current network speed of a terminal and a value of at least one target parameter of the terminal, each target parameter being related to the size of a resource shard; determining the size of an i-th resource shard to be currently uploaded of a target multimedia resource according to the current network speed and the value of the at least one target parameter, i being an integer greater than or equal to 1; obtaining the i-th resource shard from the target multimedia resource according to the size of the i-th resource shard; and uploading the i-th resource shard. In the embodiments of the present disclosure, on the basis of the current network speed of the terminal and parameters related to the size of the resource shard, the size of resource shards of a multimedia resource to be uploaded can be adaptively adjusted, so that a network speed can be well adapted, the upload efficiency and upload success rate of the multimedia resource are improved, and the upload flexibility can be improved.

Description

Multimedia resource uploading method, device, electronic device and readable storage medium

Cross References to Related Applications

This disclosure claims the priority of the Chinese patent application with the application number 202111036741.1 and the application name "Multimedia resource upload method, device, electronic equipment, and readable storage medium" submitted to the China Patent Office on September 06, 2021, and its entire content Incorporated by reference in this disclosure.

technical field

The embodiments of the present disclosure relate to the technical field of data processing, and in particular, to a multimedia resource uploading method, device, electronic equipment, computer-readable storage medium, computer program product, and computer program.

Background technique

With the development of terminal technology, short videos have become an important way for users to obtain information. More and more users are used to recording and sharing their lives by taking pictures and recording short videos. Contributing users can upload their own recorded videos in the terminal and publish them, so that other users can see the videos posted by the contributing users in their own terminals. The faster the terminal uploads the video, the faster other users can see the video, and the user experience is better.

At present, in order to shorten the video release time and upload success rate, the video data can be divided into fixed-size data fragments for uploading. Although this method can improve the success rate of uploading videos, it cannot match the network speed well and has poor flexibility. .

Contents of the invention

Embodiments of the present disclosure provide a multimedia resource upload method, device, electronic equipment, computer-readable storage medium, computer program product, and computer program, which can adapt to network speed and improve upload flexibility.

In a first aspect, an embodiment of the present disclosure provides a method for uploading a multimedia resource, including:

Obtain the current network speed of the terminal, and the value of at least one target parameter of the terminal, each of the target parameters is related to the size of the resource slice; according to the current network speed, and the value of the at least one target parameter Take a value to determine the size of the i-th resource segment to be uploaded by the target multimedia resource, where i is an integer greater than or equal to 1; according to the size of the i-th resource segment, from the target multimedia resource Acquiring the i-th resource fragment; uploading the i-th resource fragment.

In a second aspect, an embodiment of the present disclosure provides a device for uploading multimedia resources, including:

A processing module, configured to: obtain the current network speed of the terminal, and the value of at least one target parameter of the terminal, each of the target parameters is related to the resource fragment size; according to the current network speed, and, the The value of the at least one target parameter determines the size of the i-th resource fragment to be uploaded currently for the target multimedia resource, where i is an integer greater than or equal to 1. A resource fragment obtaining module, configured to obtain the ith resource fragment from the target multimedia resource according to the size of the ith resource fragment. A resource fragment upload module, configured to upload the i-th resource fragment.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including: a processor and a memory; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory, so that the processor executes the above The multimedia resource uploading method described in the first aspect and various possible designs of the first aspect.

In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the processor executes the computer-executable instructions, the above first aspect and the first Various possible designs of the described method for uploading multimedia resources.

In the fifth aspect, an embodiment of the present disclosure provides a computer program product, including computer instructions, when the computer instructions are executed by a processor, implement the method for uploading multimedia resources as described in the above first aspect and various possible designs of the first aspect .

In a sixth aspect, an embodiment of the present disclosure provides a computer program, which, when executed by a processor, implements the multimedia resource uploading method described in the first aspect and various possible designs of the first aspect.

The multimedia resource uploading method, device, electronic equipment and readable storage medium provided in this embodiment, the method includes: obtaining the current network speed of the terminal, and the value of at least one target parameter of the terminal, each target parameter and resource Fragment size is related; according to the current network speed and the value of at least one target parameter, determine the size of the i-th resource fragment to be uploaded by the target multimedia resource, where i is an integer greater than or equal to 1; according to the i-th The size of the resource fragment. Obtain the i-th resource fragment from the target multimedia resource; upload the i-th resource fragment. In the embodiment of the present disclosure, based on the current network speed of the terminal and parameters related to the resource fragment size, the resource fragment size of the multimedia resource to be uploaded can be adaptively adjusted instead of using a fixed resource fragment size, which can better Adapt to the network speed, improve the efficiency and success rate of uploading multimedia resources, and improve the flexibility of uploading.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or related technologies, the following will briefly introduce the drawings that need to be used in the descriptions of the embodiments or related technologies. Obviously, the drawings in the following description are the For some embodiments of the present invention, those of ordinary skill in the art can also obtain other drawings based on these drawings on the premise of not paying creative efforts.

FIG. 1 is a schematic diagram of a scene applicable to an embodiment of the present disclosure;

FIG. 2 is a first schematic flow diagram of a method for uploading multimedia resources provided by an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of resource fragmentation provided by an embodiment of the present disclosure;

FIG. 4 is a second schematic flow diagram of a method for uploading multimedia resources provided by an embodiment of the present disclosure;

FIG. 5 is a third schematic flow diagram of a method for uploading multimedia resources provided by an embodiment of the present disclosure;

FIG. 6 is a schematic diagram of another scenario applicable to an embodiment of the present disclosure;

FIG. 7 is a structural block diagram of an apparatus for uploading multimedia resources provided by an embodiment of the present disclosure;

FIG. 8 is a schematic structural diagram of an electronic device provided by an embodiment of the present disclosure.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments It is a part of the embodiments of the present disclosure, but not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present disclosure.

Multimedia resources: images, videos, audio, documents, etc., which are not limited in this embodiment of the present disclosure.

Uploading of multimedia resources: refers to uploading multimedia resources to the server by the terminal of the contributor user.

Publishing of multimedia resources: uploading multimedia resources to the server, the server can perform transcoding, packaging and other processing on the multimedia resources before releasing them. After the release is completed, other users can watch the multimedia resources released by the contributor user on their own terminals.

FIG. 1 is a schematic diagram of a scene applicable to an embodiment of the present disclosure. A in FIG. 1 shows the main interface of a short video application program, which includes an upload control 11. The user operates the upload control 11 to trigger the terminal to display an interface for uploading multimedia resources, as shown in b in FIG. 1 . In the interface for uploading multimedia resources, the user can take videos, pictures, etc. to upload, or the user can also select the multimedia resources to be uploaded locally in the terminal. As an example, take the video A stored locally in the terminal by the user as an example, as shown in Fig. In b in 1, the user operates the album control 12 and selects video A as an example, and b in FIG. 1 does not show the process of the user selecting video A.

In an embodiment, the interface for the user to select a multimedia resource may further include a next step control, and the user operates the next step control, and the terminal may display a publishing interface, as shown in c in FIG. 1 . Wherein, the publishing interface may include a publishing control 13, and the user may operate the publishing control 13 to trigger the terminal to send the video A to the server, so as to upload the video A to the server. It should be understood that during the process of the terminal uploading the multimedia resource A, the interface of the terminal may display prompt information such as uploading, as shown in d in FIG. 1 .

After the terminal successfully uploads video A to the server, the server can perform transcoding, packaging and other processing on the multimedia resource before publishing it. When the server successfully publishes video A, the server can feed back a successful release message to the terminal. In response to receiving the message of successful publication, the terminal may display a prompt message of "publishing successfully", as shown in e in FIG. 1 . It should be understood that FIG. 1 is an example of uploading a multimedia resource by a contributing user through a terminal, and does not limit the method for uploading a multimedia resource in the embodiments of the present disclosure.

Among them, when the terminal uploads multimedia resources to the server, if the terminal sends the multimedia resources (such as all the content of video A) to the server at one time, when the network speed is poor, it is easy to cause problems such as packet loss, resulting in the server being unable to receive the multimedia resources. The server sends the multimedia resource. The success rate of uploading multimedia resources in this manner is low, and the user experience is poor.

In order to shorten the release time of multimedia resources and improve the success rate of uploading multimedia resources, the terminal can divide multimedia resources into resource fragments of fixed size for uploading. In this way, when the network speed is poor, if a certain resource Re-uploading the resource segment does not need to re-upload the entire multimedia resource, thereby reducing the release time of the multimedia resource and improving the upload success rate of the multimedia resource. Exemplarily, the multimedia resource is 800k, and the terminal may divide the multimedia resource into 8 resource fragments, each of which has a size of 100k.

The current method for the terminal to divide multimedia resources into resource fragments of fixed size can reduce the release time of multimedia resources and improve the upload success rate of multimedia resources, but cannot adapt to the network speed and has poor flexibility. Exemplarily, if the size of each resource fragment is 100k, when the network speed is good, it is necessary to repeatedly upload the resource fragment of 100k in size, and the upload time is long and the upload efficiency is low. When the network speed is poor, the network speed is not enough to upload 100k resource fragments, resulting in failure to upload resource fragments.

Based on the above problems, because the network speed is related to the size of the resource fragments that the terminal can successfully upload, for example, the terminal can upload larger resource fragments when the network speed is good, and the terminal can upload smaller resource fragments when the network speed is poor. Therefore, an embodiment of the present disclosure provides a method for uploading multimedia resources. The terminal can determine the resource fragment size of the multimedia resource to be uploaded based on the current network speed of the terminal, and then adjust the resource fragmentation of the multimedia resource to be uploaded according to the network speed. The size can further improve the efficiency and success rate of uploading multimedia resources, and the flexibility is high. Because the network speed is fluctuating, there may be instantaneous high and low phenomena. In order to avoid the inaccurate problem caused by the terminal determining the size of the resource fragment according to the instantaneous network speed, in the embodiment of the present disclosure, the terminal can combine the terminal's current network Speed, and other target parameters that affect resource fragmentation determine the resource fragmentation size of the multimedia resource to be uploaded. On the basis of adapting to the network speed, the accuracy of resource fragmentation can be improved.

In an embodiment, the terminal of the user who contributes may be a wireless terminal or a wired terminal. A wireless terminal may refer to a handheld device with a wireless connection function, or other processing device connected to a wireless modem. The wireless terminal can communicate with one or more core network devices via the radio access network (Radio Access Network, referred to as RAN). The wireless terminal can be a mobile terminal, such as a mobile phone (or called a "cellular" phone) and a The computers, which may be, for example, portable, pocket, handheld, built-in or vehicle-mounted mobile devices, exchange speech and/or data with the radio access network. For another example, the wireless terminal can also be a Personal Communication Service (PCS for short) phone, a cordless phone, a Session Initiation Protocol (SIP for short) phone, a Wireless Local Loop (WLL for short) station , Personal Digital Assistant (Personal Digital Assistant, referred to as PDA) and other equipment. Wireless terminal can also be called system, subscriber unit (Subscriber Unit), subscriber station (Subscriber Station), mobile station (Mobile Station), mobile station (Mobile), remote station (Remote Station), remote terminal (Remote Terminal), access Access Terminal, User Terminal, User Agent, and User Device or User Equipment are not limited here. Optionally, the above-mentioned terminal can also be a smart watch, a tablet computer, and a wearable device, etc. In the embodiments of the present disclosure, there is no limitation on the terminal of the contributing user. In the following embodiments, the terminal of the contributing user is a mobile phone as an example. illustrate.

Wherein, the server may be one server or a cluster composed of multiple servers. In the above FIG. 1 , one server is taken as an example for illustration.

Referring to FIG. 2 , FIG. 2 is a first schematic flowchart of a method for uploading multimedia resources provided by an embodiment of the present disclosure. The method of this embodiment can be applied to the terminal in Figure 1, and the method for uploading multimedia resources includes:

S201. Obtain the current network speed of the terminal, and the value of at least one target parameter of the terminal, where each target parameter is related to a resource slice size.

In one embodiment, the current network speed of the terminal can be understood as: the network speed when the terminal receives a publishing instruction from the user, and the publishing instruction is used to instruct the terminal to upload the target multimedia resource to the server for publishing. The target multimedia resource can be understood as a multimedia resource to be uploaded. Exemplarily, referring to c in FIG. 1 , the terminal may use the network speed when the user operates the release control 13 as the current network speed.

In one embodiment, because the target multimedia resource is sent by resource fragments, the current network speed of the terminal can be understood as: after sending the i-1th resource fragment, and sending the i-1th resource fragment previous internet speed. Wherein, i is an integer greater than or equal to 1.

When acquiring the current network speed of the terminal, the terminal may acquire the value of at least one target parameter of the terminal. Among them, each target parameter is related to the resource fragment size. In an embodiment, the target parameter may be at least one of the following: a performance parameter of the terminal, and a network speed within a preset time period before the current upload time. It should be understood that the performance parameters of the terminal and the network speed within the preset time period before the current upload time are examples of the target parameters, and the target parameters may also include other parameters related to the size of resource fragments.

The performance parameter of the terminal is related to the network speed of uploading multimedia resources supported by the terminal. It can also be said that the performance parameter of the terminal is used to represent the network speed of uploading multimedia resources supported by the terminal. Among them, if the network speed supported by the terminal for uploading multimedia resources is higher, it means that the terminal can upload relatively large resource fragments at one time; if the network speed supported by the terminal for uploading multimedia resources is lower, it means that the terminal can upload relatively small pieces Resource fragmentation. The network speed within the preset time period before the current upload time can be understood as: the average value of the network speed within the preset time period before the current upload time. The network speed within the preset time before the current upload time can represent the network speed of the current upload time to a certain extent. If the network speed within the preset time before the current upload time is higher, the network speed representing the current upload time is also It is relatively high, and relatively large resource fragments can be uploaded. If the network speed within the preset time before the current upload time is lower, the network speed representing the current upload time is also relatively low, and relatively small resource fragments can be uploaded.

The following describes how the terminal obtains the current network speed of the terminal:

In one embodiment, the terminal can start an application program installed in the terminal to test the network speed, so as to obtain the current network speed of the terminal.

In one embodiment, a preset file is stored in the terminal, and the preset file is used to detect the current network speed. The terminal can upload the preset file, such as sending the preset file to the server, and the terminal can determine the current network speed based on the time spent uploading the preset file and the size of the preset file. Wherein, the terminal can record the first moment when the preset file is sent to the server. When the server receives the preset file, it can feed back a message of successful reception to the terminal, and the terminal can record the second moment of the successful message reception. The difference between the second moment and the first moment is used as the time spent uploading the preset file. The terminal can calculate the current network speed based on the following formula 1.

Among them, R is the current network speed, M is the size of the preset file, and T is the time spent uploading the preset file.

Wherein, in order to increase the speed at which the terminal acquires the current network speed of the terminal, the preset file may be an empty file. That is to say, the smaller the size of the preset file is, the faster the terminal obtains the current network speed of the terminal, and correspondingly, the faster the terminal uploads multimedia resources.

In one embodiment, because the network speed before the current upload time can represent the network speed at the current upload time to a certain extent, the closer the time interval of the current upload time is, the more capable the network speed before the current upload time is. It represents the network speed of the current upload time. If the time interval of the current upload time is farther, the network speed before the current upload time can represent the network speed of the current upload time.

In the embodiment of the present disclosure, when the terminal uploads the multimedia resource, it can record the time of uploading the multimedia resource and the network speed. Therefore, the terminal can query the time when the terminal uploaded the multimedia resource last time. The terminal may obtain the time interval between the last time the terminal uploaded the multimedia resource and the current upload time based on the time when the terminal uploaded the multimedia resource last time, and then obtain the current network speed based on the time interval.

In one embodiment, for example, if the time interval between the time when the terminal uploaded the multimedia resource last time and the current upload time is less than or equal to the preset time interval, the terminal may use the network speed when uploading the multimedia resource last time as the current internet speed. In one embodiment, the terminal can record the time and network speed of each resource segment when uploading each multimedia resource. Correspondingly, the network speed when uploading a multimedia resource last time can be understood as: The average network speed of resource fragments.

In one embodiment, for example, the terminal may store a mapping relationship between a time interval and a ratio, and the terminal may be based on the time interval between the time when the terminal last uploaded multimedia resources and the current upload time, and the "time interval and The mapping relationship of the proportion", to get the proportion. Furthermore, the terminal may use the product of the network speed when the multimedia resource was uploaded last time and the ratio as the current network speed. It should be noted that in this mapping relationship, the larger the time interval, the smaller the ratio.

The following describes the method for the terminal to obtain the value of at least one target parameter of the terminal:

Taking the target parameters including the performance parameters of the terminal and the network speed within the preset time before the current upload time as an example, the terminal can record the network speed of the terminal in real time to obtain the network speed record, which includes the network speed and the corresponding network speed time. Wherein, the terminal can query the network speed record, and obtain the network speed within the preset time period before the current upload time. For the performance parameters of the terminal, the terminal may query the attribute information in the terminal to obtain the performance parameters of the terminal. Wherein, the attribute information may include but not limited to: performance parameters of the terminal, model of the terminal, system version, memory size, and the like.

S202. According to the current network speed and the value of at least one target parameter, determine the size of the i-th resource segment to be uploaded by the target multimedia resource, where i is an integer greater than or equal to 1.

The network speed, the value of the target parameter, and the size of the resource slice have a mapping relationship, and the terminal can determine the i-th target multimedia resource currently to be uploaded based on the current network speed, the value of at least one target parameter, and the mapping relationship. The size of the resource slice. Exemplarily, the mapping relationship may be embodied as a formula, a table, etc., which is not limited in this embodiment of the present disclosure.

In one embodiment, the current network speed may be the network speed when the terminal receives the instruction issued by the user. In this embodiment, because the current network speed is the network speed when the terminal receives the instruction issued by the user, it is a value , therefore, whether the size of each resource segment to be uploaded by the target multimedia resource is the same is related to the current network speed.

In an embodiment, the current network speed may be the network speed after sending the i-1 resource segment and before sending the i-1 resource segment. In this embodiment, the terminal may send the i-1 resource segment After i-1 resource fragments, the current network speed can be obtained, and then based on the current network speed, the size of the i-th resource fragment can be determined. In this embodiment, the current network speed corresponding to each resource fragment to be uploaded of the target multimedia resource may be different, and therefore the size of each resource fragment to be uploaded of the target multimedia resource may also be different.

S203. Acquire the i-th resource segment from the target multimedia resource according to the size of the i-th resource segment.

After obtaining the size of the i-th resource segment to be uploaded by the target multimedia resource, the terminal may acquire the i-th resource segment from the target multimedia resource. Exemplarily, the terminal may segment an i-th resource segment from the target multimedia resource, and the size of the i-th resource segment is the same as the size of the i-th resource segment obtained in S202.

In an embodiment, the terminal may use an existing slicing application program or a slicing tool to obtain the i-th resource slice from the target multimedia resource. Referring to FIG. 3 , for example, the size of the multimedia resource is 800k, the sum of the sizes of the first i-1 resource fragments is 500k, and the size of the i-th resource fragment is 200k, then the terminal can wait for the rest of the target multimedia resource. The uploaded multimedia resource is divided into 200k resource fragments, that is, the i-th resource fragment.

S204. Upload the i-th resource segment.

After obtaining the i-th resource segment by segmentation, the terminal may send the i-th resource segment to the server, that is, upload the i-th resource segment, as shown in d in FIG. 1 .

The uploading of multimedia resources provided by the embodiments of the present disclosure includes: obtaining the current network speed of the terminal, and the value of at least one target parameter of the terminal, each target parameter is related to the resource fragment size; according to the current network speed, and at least one The value of the target parameter determines the size of the i-th resource segment to be uploaded by the target multimedia resource, and i is an integer greater than or equal to 1; according to the size of the i-th resource segment, obtain the i-th resource segment from the target multimedia resource resource fragments; upload the i-th resource fragment. In the embodiment of the present disclosure, the terminal can adaptively adjust the resource fragment size of the multimedia resource to be uploaded based on the current network speed of the terminal and parameters related to the resource fragment size, instead of using a fixed resource fragment size, which can be more Adapt to the network speed well, improve the efficiency and success rate of uploading multimedia resources, and improve the flexibility of uploading. In addition, the terminal does not determine the resource fragment size of the multimedia resources to be uploaded solely based on the current network speed, which can avoid the problem of inaccurate resource fragmentation caused by instantaneous network speed fluctuations and improve the accuracy of resource fragmentation.

In the above embodiment, the terminal can determine the i-th resource segment of the target multimedia resource to be uploaded based on the current network speed, the value of at least one target parameter, and the mapping relationship between the network speed, the value of the target parameter, and the resource segment In order to further improve the accuracy of the size of the i-th resource fragment obtained, in the embodiment of the present disclosure, the first network model based on machine learning can be pre-stored in the terminal, and the terminal can use the current network speed, at least one target The value of the parameter is input to the first network model to obtain the size of the i-th resource fragment to be uploaded currently of the target multimedia resource.

Correspondingly, referring to FIG. 4, the above S202 can be replaced by S202A:

S202A. Input the current network speed and the value of at least one target parameter into the pre-trained first network model to obtain the size of the i-th resource fragment.

In one embodiment, the at least one target parameter includes at least one of the following: the size of the target multimedia resource, the network speed when the terminal uploaded the multimedia resource last time, the time between the last time the terminal uploaded the multimedia resource and the current upload time Interval, performance parameters of the terminal.

It should be understood that the target parameters used in S202A are the same as the target parameters used in training the first network model. Exemplarily, at least one target parameter includes: the size of the target multimedia resource, the network speed when the terminal last uploaded the multimedia resource, and the time interval between the last time the terminal uploaded the multimedia resource and the current upload time. Correspondingly, the target parameters used in training the first network model also include: the size of the multimedia resource, the network speed when the terminal uploaded the multimedia resource last time, and the time between the time when the terminal uploaded the multimedia resource last time and the time when the terminal uploaded the multimedia resource last time. time interval.

The first network model is described as follows:

The first network model may be obtained by the training device based on the training data and preset in the terminal. The training device is such as a server or other electronic devices such as a computer. Wherein, the training data may include: the network speed, the value of at least one target parameter, and the size of the resource slice corresponding to the network speed and the value of the at least one target parameter.

In one embodiment, at least one target parameter may include but not limited to: the size of the multimedia resource, the network speed when the terminal uploaded the multimedia resource last time, and the time between the time when the terminal uploaded the multimedia resource last time and the time when the terminal uploaded the multimedia resource last time. The time interval between and the performance parameters of the terminal. Wherein, the time interval between the time when the terminal uploaded the multimedia resource last time and the time when the terminal uploaded the multimedia resource next time can be replaced by: the level of influence of the time interval on the size of resource fragments, wherein, the mapping relationship between the time interval and the level can refer to the table One shown:

Table I

时间间隔X(ms)time intervalX(ms)	等级grade
0＜X≤3000<X≤300	00
300＜X≤1800300<X≤1800	11
1800＜X≤36001800＜X≤3600	22
3600＜X≤864003600＜X≤86400	33

86400＜X

4

As shown in Table 1 above, the grades are represented by numbers as an example, and the smaller the number, the higher the representation grade. Based on Table 1, it can be obtained that the smaller the time interval between the time when the terminal uploaded the multimedia resource last time and the time when the terminal uploaded the multimedia resource last time, the greater the impact of the time interval on the size of resource fragments, and the higher the level. It should be understood that, in the following embodiments, the time interval between the time when the terminal uploaded the multimedia resource last time and the time when the multimedia resource is uploaded next time is taken as an example for illustration as a target parameter for training the first network model.

The training device can input the training data into the initial network model for training, and obtain the first network model through machine learning. The initial network model can be but not limited to: convolutional neural networks (CNN for short), deep neural network (deep neural networks (DNN for short), recurrent neural network (RNN for short), long short-term memory network model (long short-term memory, LSTM for short), and GoogLeNet, tree models, etc. In the embodiment of the present disclosure, the training process of the first network model is not described in detail, and for details, reference may be made to related descriptions of the training of the existing network model.

In the embodiment of the present disclosure, the terminal can input the current network speed and the value of at least one target parameter into the first network model to obtain the size of the i-th resource segment of the target multimedia resource currently to be uploaded, which can increase the size of the i-th resource. The accuracy of the size of the fragments, thereby improving the accuracy of uploading multimedia resources.

In the above-mentioned embodiment, according to the current network speed of the terminal and the network speed of the last multimedia resource uploaded by the terminal, the size of the i-th resource segment to be uploaded by the target multimedia resource can be obtained, but the network speed is not constant, and is fluctuating, so in order to further improve the accuracy of the size of the obtained i-th resource fragment, in the embodiment of the present disclosure, the resource fragment sent by the terminal before the i-th resource fragment (that is, the first i -1 resource fragment) network speed, predict the upload network speed of the i-th resource fragment, and then further combine the predicted upload network speed of the i-th resource fragment to obtain the size of the i-th resource fragment, and improve accuracy.

In this embodiment, at least one target parameter in the training data of the first network model trained by machine learning may include the predicted upload network speed of the i-th resource segment. It should be understood that during the training process, the predicted upload network speed of the i-th resource segment can be obtained by the training device based on the network speed of the previous i-1 resource segments when uploading multimedia resources.

In an embodiment, the training device may use the average value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the uploading network speed of the i-th resource fragment. Alternatively, the training device may use the minimum value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the uploading network speed of the i-th resource fragment. Alternatively, the training device may use the maximum value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the uploading network speed of the i-th resource fragment.

In this way, the training device can obtain the predicted upload network speed of the i-th resource segment, and then use the predicted upload network speed of the i-th resource segment as a target parameter as training data to obtain the first network model through training.

In one embodiment, a pre-trained second network model may be stored in the training device, and the second network model is used to predict and obtain the first i-1 resource fragments based on the network speed when the multimedia resources are uploaded. The upload network speed of i resource fragments. In this way, the training device can input the network speed when uploading the first i-1 resource fragments of the target multimedia resource into the second network model, so as to obtain the uploading network speed of the i-th resource fragment.

It should be understood that the second network model may be pre-obtained by the training device based on the training data and stored in the training device. Wherein, the training data may include: the network speed when uploading the first i-1 resource fragments in the multimedia resource. Specifically, the training device can input the training data into the initial network model for training, and obtain the second network model through machine learning. The embodiment of the present disclosure does not repeat the training process of the second network model, and can refer to the existing network model for details. A description of the training.

Based on the above description, in the above S201, the terminal obtains the value of at least one target parameter of the terminal, wherein the at least one target parameter includes "the size of the target multimedia resource, the network speed when the terminal uploaded the multimedia resource last time, the terminal In addition to the time interval between the last upload time of the multimedia resource and the current upload time, and the performance parameters of the terminal", it may also include: the predicted upload network speed of the i-th resource segment.

Wherein, the method for the terminal to obtain the predicted upload network speed of the i-th resource fragment can be as follows:

As described in S201 above, the terminal can record the network speed record, and the network speed record includes the network speed and the time corresponding to the network speed. Specifically, the network speed record may include the network speed when the terminal uploads each resource segment in each multimedia resource, and the time corresponding to the network speed. In this embodiment, the terminal can query the network speed record to obtain the network speed of each resource segment in the first i-1 resource segments when the terminal uploads the target multimedia resource. Wherein, the terminal may predict the upload network speed of the i-th resource fragment according to the network speed when uploading the first i-1 resource fragments of the target multimedia resource.

Mode 1: The training device can obtain the second network model through pre-training and preset it in the terminal. The terminal may input the network speed when uploading the first i-1 resource fragments of the target multimedia resource into the pre-trained second network model to obtain the upload network speed of the i-th resource fragment.

Mode 2: The terminal may use the average network speed when uploading the first i-1 resource fragments of the target multimedia resource as the uploading network speed of the i-th resource fragment. Alternatively, the terminal may use the minimum value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the uploading network speed of the i-th resource fragment. Alternatively, the terminal may use the maximum value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the uploading network speed of the i-th resource fragment.

In this way, the terminal can obtain the predicted upload network speed of the i-th resource segment, and then the terminal can use the current network speed and the value of at least one target parameter (including the predicted upload network speed of the i-th resource segment) Input to the pre-trained first network model to obtain the size of the i-th resource segment, you can refer to the relevant description in the above-mentioned embodiment.

In the embodiment of the present disclosure, the terminal can predict the upload network speed of the i-th resource segment based on the network speed of the resource segment sent by the terminal before the i-th resource segment, and then upload the predicted i-th resource segment to Network speed as a target parameter, input the current network speed and the value of at least one target parameter into the first network model, and obtain the size of the i-th resource fragment. In the embodiment of the present disclosure, the terminal not only sends the last multimedia The historical network speed at the time of the resource can also be combined with the network speed at the time of the first i-1 resource fragments when the target multimedia resource is sent, so as to improve the accuracy of the obtained size of the i-th resource fragment.

In one embodiment, the target multimedia resource is a video or image. In this embodiment, the user can upload the video or image locally stored in the terminal through the terminal, or the user can shoot the video or image through the terminal, and then upload the captured video or image. image. As shown in Figure 1 above, the user selects a locally stored multimedia resource (such as video or image) in the terminal for uploading, and the following describes the process of uploading the video or image taken by the user through the terminal. Referring to Figure 5, the method for uploading a multimedia resource provided by an embodiment of the present disclosure may include:

S501. Receive a shooting request.

When the user needs to publish a video or image on the terminal, the terminal can be triggered to capture the video or image. Referring to b in FIG. 6, the user can operate the shooting control 14 in the interface for uploading multimedia resources to trigger the terminal to display the shooting interface. As shown in c in FIG. The process is not described. It should be understood that a in FIG. 6 is the same as a in FIG. 1 , and reference may be made to the relevant description above.

S502. According to the shooting request, capture the target multimedia resource.

The terminal performs shooting in response to receiving the shooting request input by the user, and then can obtain the target multimedia resource for shooting. Referring to c in FIG. 6 , the user can capture target multimedia resources such as videos or images.

S503. Receive a publishing instruction of the target multimedia resource.

After the user captures the target multimedia resource, the captured interface may display a next step control, and the user operates the next step control, and the terminal may display the publishing interface, as shown in c in FIG. 6 . It should be understood that there is no The interface after shooting is shown. Wherein, the publishing interface may include a publishing control 13, and the user may operate the publishing control 13 to trigger the terminal to send the target multimedia resource to the server, and reference may be made to the relevant description in FIG. 1 . Wherein, the terminal may execute S504-S507 in response to detecting that the user operates the publishing control 13, that is, receiving a publishing instruction of the target multimedia resource.

S504. Obtain the current network speed of the terminal, and the value of at least one target parameter of the terminal, where each target parameter is related to the resource fragment size.

S505. According to the current network speed and the value of at least one target parameter, determine the size of the i-th resource fragment to be uploaded currently of the target multimedia resource, where i is an integer greater than or equal to 1.

S506. Acquire the i-th resource segment from the target multimedia resource according to the size of the i-th resource segment.

S507. Upload the i-th resource segment.

For S504-S507, refer to related descriptions in S201-S204.

The embodiments of the present disclosure have the same technical effects as those of the foregoing embodiments, and reference may be made to relevant descriptions of the foregoing embodiments, and details are not repeated here.

Referring to FIG. 7 , FIG. 7 is a structural block diagram of an apparatus for uploading multimedia resources provided by an embodiment of the present disclosure. For ease of description, only the parts related to the embodiments of the present disclosure are shown. Referring to FIG. 7 , the device 70 for uploading multimedia resources includes: a processing module 701 , a module for obtaining resource fragments 702 , a module for uploading resource fragments 703 , and a transceiver module 704 . in,

The processing module 701 is configured to: obtain the current network speed of the terminal, and the value of at least one target parameter of the terminal, each target parameter is related to the size of the resource slice; according to the current network speed, and the value of at least one target parameter Value, to determine the size of the i-th resource segment to be uploaded currently for the target multimedia resource, where i is an integer greater than or equal to 1.

The resource segment acquiring module 702 is configured to acquire the i-th resource segment from the target multimedia resource according to the size of the i-th resource segment. A resource fragment upload module 703, configured to upload the i-th resource fragment.

According to one or more embodiments of the present disclosure, the processing module 701 is specifically configured to input the current network speed and the value of at least one target parameter into the pre-trained first network model to obtain the size.

According to one or more embodiments of the present disclosure, at least one target parameter includes at least one of the following: the size of the target multimedia resource, the network speed when the terminal uploaded the multimedia resource last time, the time when the terminal uploaded the multimedia resource last time and the current upload time The time interval between , the performance parameters of the terminal, the predicted upload network speed of the i-th resource fragment, and the performance parameters are related to the network speed of uploading multimedia resources supported by the terminal.

According to one or more embodiments of the present disclosure, at least one target parameter includes: a predicted upload network speed of the i-th resource segment. The processing module 701 is specifically configured to predict the upload network speed of the i-th resource fragment according to the network speed when uploading the first i-1 resource fragments of the target multimedia resource.

According to one or more embodiments of the present disclosure, the processing module 701 is specifically configured to input the network speed when uploading the first i-1 resource fragments of the target multimedia resource into the pre-trained second network model, and obtain the i-th The upload network speed of resource fragments.

According to one or more embodiments of the present disclosure, the processing module 701 is specifically configured to use the average value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the upload network speed of the i-th resource fragment ; Or, use the minimum value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the upload network speed of the i-th resource fragment; or, upload the first i-1 resources of the target multimedia resource The maximum value of the network speed during sharding is used as the upload network speed of the i-th resource shard.

According to one or more embodiments of the present disclosure, the processing module 701 is specifically configured to upload the preset file; obtain the time spent uploading the preset file; and determine the current time according to the time spent uploading the preset file and the size of the preset file internet speed.

According to one or more embodiments of the present disclosure, the processing module 701 is specifically configured to obtain the time when the terminal last uploaded multimedia resources; obtain the time interval between the time when the terminal last uploaded multimedia resources and the current upload time; if the time interval is less than or equal to the preset time interval, the network speed when the multimedia resource was uploaded last time is taken as the current network speed.

According to one or more embodiments of the present disclosure, i is equal to 1. The sending and receiving module 704 is configured to receive an issuing instruction of the target multimedia resource, and the issuing instruction is used to request uploading of the target multimedia resource.

According to one or more embodiments of the present disclosure, the transceiving module 704 is further configured to receive a shooting request. The shooting module is configured to obtain the target multimedia resource by shooting according to the shooting request.

According to one or more embodiments of the present disclosure, the target multimedia resource is a video.

The device for uploading multimedia resources provided by the embodiments of the present disclosure can be used to implement the technical solutions of the above method embodiments, and its implementation principles and technical effects are similar, and details will not be repeated here in this embodiment.

In order to realize the foregoing embodiments, the embodiments of the present disclosure further provide an electronic device.

Referring to FIG. 8 , it shows a schematic structural diagram of an electronic device suitable for implementing the embodiments of the present disclosure, and the electronic device 800 may be the terminal in the foregoing embodiments. The electronic device shown in FIG. 8 is only an example, and should not limit the functions and scope of use of the embodiments of the present disclosure.

As shown in FIG. 8 , an electronic device 800 may include a processing device (such as a central processing unit, a graphics processing unit, etc.) 808 loads the program in the random access memory (Random Access Memory, referred to as RAM) 803 to execute various appropriate actions and processes. In the RAM 803, various programs and data necessary for the operation of the electronic device 800 are also stored. The processing device 801, ROM 802, and RAM 803 are connected to each other through a bus 803. An input/output (Input/Output, I/O for short) interface 805 is also connected to the bus 803 .

Generally, the following devices can be connected to the I/O interface 805: an input device 806 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; ), a speaker, a vibrator, etc.; a storage device 808 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 809. The communication means 809 may allow the electronic device 800 to communicate with other devices wirelessly or by wire to exchange data. While FIG. 8 shows electronic device 800 having various means, it is to be understood that implementing or having all of the means shown is not a requirement. More or fewer means may alternatively be implemented or provided. In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication means 809, or from storage means 808, or from ROM 802. When the computer program is executed by the processing device 801, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are executed.

It should be noted that the above-mentioned computer-readable medium in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programming read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM or flash memory), optical fiber, portable compact disk read-only memory (Compact Disk Read Only Memory, referred to as CD-ROM), optical storage device, magnetic storage device, or any of the above the right combination. In the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present disclosure, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave carrying computer-readable program code therein. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device . The program code contained on the computer readable medium can be transmitted by any appropriate medium, including but not limited to: electric wire, optical cable, radio frequency (Radio Frequency, RF for short), etc., or any suitable combination of the above.

The above-mentioned computer-readable medium may be included in the above-mentioned electronic device, or may exist independently without being incorporated into the electronic device.

The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the electronic device, the electronic device is made to execute the methods shown in the above-mentioned embodiments.

Computer program code for carrying out the operations of the present disclosure can be written in one or more programming languages, or combinations thereof, including object-oriented programming languages—such as Java, Smalltalk, C++, and conventional Procedural Programming Language - such as "C" or a similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or it may be connected to an external computer such as use an Internet service provider to connect via the Internet).

The flowchart 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 disclosure. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that contains one or more logical functions for implementing specified 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 shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be 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 by a dedicated hardware-based system that performs the specified functions or operations , or may be implemented by a combination of dedicated hardware and computer instructions.

The modules involved in the embodiments described in the present disclosure may be implemented by software or by hardware. Wherein, the name of the module does not constitute a limitation of the module itself under certain circumstances, for example, the first obtaining module may also be described as "a module for obtaining at least two Internet Protocol addresses".

The functions described herein above may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: Field Programmable Gate Array (Field Programmable Gate Array, FPGA for short), Application Specific Integrated Circuit (ASIC for short), Application Specific Standard Products ( Application Specific Standard Parts (ASSP for short), System on Chip (SOC for short), Complex Programmable Logic Device (CPLD for short), etc.

In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer discs, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

In the first aspect, according to one or more embodiments of the present disclosure, there is provided a method for uploading multimedia resources, including: obtaining the current network speed of the terminal, and the value of at least one target parameter of the terminal, each of the The target parameter is related to the size of the resource fragment; according to the current network speed and the value of the at least one target parameter, determine the size of the i-th resource fragment to be uploaded by the target multimedia resource, and the i is An integer greater than or equal to 1; according to the size of the ith resource fragment, obtain the ith resource fragment from the target multimedia resource; upload the ith resource fragment.

According to one or more embodiments of the present disclosure, according to the current network speed and the value of the at least one target parameter, determining the size of the i-th resource segment to be uploaded currently of the target multimedia resource includes: : Input the current network speed and the value of the at least one target parameter into the pre-trained first network model to obtain the size of the i-th resource fragment.

According to one or more embodiments of the present disclosure, the at least one target parameter includes at least one of the following: the size of the target multimedia resource, the network speed when the terminal uploaded the multimedia resource last time, the last time the terminal uploaded The time interval between the time of multimedia resources and the current upload time, the performance parameters of the terminal, the predicted upload network speed of the i-th resource fragment, the performance parameters and the network speed of uploading multimedia resources supported by the terminal relevant.

According to one or more embodiments of the present disclosure, the at least one target parameter includes: the predicted upload network speed of the i-th resource segment; obtaining the value of the at least one target parameter of the terminal includes: according to The network speed when uploading the first i-1 resource fragments of the target multimedia resource is used to predict the uploading network speed of the i-th resource fragment.

According to one or more embodiments of the present disclosure, the predicting the upload network speed of the i-th resource fragment according to the network speed when uploading the first i-1 resource fragments of the target multimedia resource includes: Inputting the network speed when uploading the first i-1 resource fragments of the target multimedia resource into the pre-trained second network model to obtain the uploading network speed of the i-th resource fragment.

According to one or more embodiments of the present disclosure, the predicting the upload network speed of the i-th resource fragment according to the network speed when uploading the first i-1 resource fragments of the target multimedia resource includes: The average value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource is used as the upload network speed of the i-th resource fragment; or, upload the first i-1 resource fragments of the target multimedia resource. The minimum value of the network speed when 1 resource fragment is used as the upload network speed of the i-th resource fragment; or, the maximum network speed when uploading the first i-1 resource fragments of the target multimedia resource The value is used as the upload network speed of the i-th resource fragment.

According to one or more embodiments of the present disclosure, the obtaining the current network speed of the terminal includes: uploading a preset file; obtaining the time spent uploading the preset file; according to the time spent uploading the preset file, and, the the preset file size and determine the current network speed.

According to one or more embodiments of the present disclosure, the obtaining the current network speed of the terminal includes: obtaining the time when the terminal uploaded the multimedia resource last time; obtaining the time between the time when the terminal uploaded the multimedia resource last time and the current upload time If the time interval is less than or equal to the preset time interval, the network speed when the multimedia resource was uploaded last time is taken as the current network speed.

According to one or more embodiments of the present disclosure, the i is equal to 1, and before obtaining the current network speed of the terminal and at least one target parameter value of the terminal, further includes: receiving the publication of the target multimedia resource An instruction, the publishing instruction is used to request uploading of the target multimedia resource.

According to one or more embodiments of the present disclosure, before receiving the release instruction of the target multimedia resource, the method further includes: receiving a shooting request; and obtaining the target multimedia resource by shooting according to the shooting request.

According to one or more embodiments of the present disclosure, the target multimedia resource is video.

In a second aspect, according to one or more embodiments of the present disclosure, there is provided an apparatus for uploading multimedia resources, including: a processing module, configured to: obtain the current network speed of the terminal, and at least one target parameter of the terminal value, each of the target parameters is related to the resource fragment size; according to the current network speed, and the value of the at least one target parameter, determine the i-th resource fragment of the target multimedia resource currently to be uploaded Size, the i is an integer greater than or equal to 1.

A resource fragment obtaining module, configured to obtain the ith resource fragment from the target multimedia resource according to the size of the ith resource fragment. A resource fragment upload module, configured to upload the i-th resource fragment.

According to one or more embodiments of the present disclosure, the processing module is specifically configured to input the current network speed and the value of the at least one target parameter into a pre-trained first network model to obtain the i-th The size of resource slices.

According to one or more embodiments of the present disclosure, the at least one target parameter includes: the predicted upload network speed of the i-th resource segment. The processing module is specifically configured to predict the upload network speed of the i-th resource fragment according to the network speed when uploading the first i-1 resource fragments of the target multimedia resource.

According to one or more embodiments of the present disclosure, the processing module is specifically configured to input the network speed when uploading the first i-1 resource fragments of the target multimedia resource into the pre-trained second network model, and obtain the Describes the upload network speed of the i-th resource fragment.

According to one or more embodiments of the present disclosure, the processing module is specifically configured to use the average value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the i-th resource fragment Upload network speed; or, upload the minimum value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the upload network speed of the i-th resource fragment; or, upload the target multimedia resource The maximum value of the network speed of the first i-1 resource fragments of the multimedia resource is used as the upload network speed of the i-th resource fragment.

According to one or more embodiments of the present disclosure, the processing module is specifically configured to upload a preset file; obtain the time spent uploading the preset file; according to the time spent uploading the preset file, and the size of the preset file , to determine the current network speed.

According to one or more embodiments of the present disclosure, the processing module is specifically configured to obtain the time when the terminal uploaded the multimedia resource last time; obtain the time interval between the time when the terminal uploaded the multimedia resource last time and the current upload time; If the time interval is less than or equal to the preset time interval, the network speed when the multimedia resource was uploaded last time is taken as the current network speed.

According to one or more embodiments of the present disclosure, the i is equal to 1. The transceiver module is configured to receive a release instruction of a target multimedia resource, and the release instruction is used to request uploading of the target multimedia resource.

According to one or more embodiments of the present disclosure, the transceiver module is further configured to receive a shooting request. The photographing module is configured to photograph and obtain the target multimedia resource according to the photographing request.

In a third aspect, according to one or more embodiments of the present disclosure, there is provided an electronic device, including: a processor and a memory; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory , so that the processor executes the multimedia resource uploading method described in the first aspect and various possible designs of the first aspect.

In a fourth aspect, according to one or more embodiments of the present disclosure, a computer-readable storage medium is provided, the computer-readable storage medium stores computer-executable instructions, and when a processor executes the computer-executable instructions, Realize the method for uploading multimedia resources described in the above first aspect and various possible designs of the first aspect.

In the fifth aspect, according to one or more embodiments of the present disclosure, there is provided a computer program product, including computer instructions. When the computer instructions are executed by a processor, the above first aspect and various possible aspects of the first aspect can be realized. The method for uploading the multimedia resource is designed.

In a sixth aspect, according to one or more embodiments of the present disclosure, a computer program is provided. When the computer program is executed by a processor, it realizes the above-mentioned first aspect and various possible designs of the first aspect. A method for uploading multimedia resources.

The above description is only a preferred embodiment of the present disclosure and an illustration of the applied technical principles. Those skilled in the art should understand that the disclosure scope involved in this disclosure is not limited to the technical solution formed by the specific combination of the above-mentioned technical features, but also covers the technical solutions formed by the above-mentioned technical features or Other technical solutions formed by any combination of equivalent features. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this disclosure.

In addition, while operations are depicted in a particular order, this should not be understood as requiring that the operations be performed in the particular order shown, or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while the above discussion contains several specific implementation details, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims

A method for uploading multimedia resources, comprising:

Acquiring the current network speed of the terminal, and the value of at least one target parameter of the terminal, each of the target parameters is related to the size of resource fragmentation;

According to the current network speed and the value of the at least one target parameter, determine the size of the i-th resource segment to be uploaded by the target multimedia resource, where i is an integer greater than or equal to 1;

Acquiring the i-th resource segment from the target multimedia resource according to the size of the i-th resource segment;

Upload the i-th resource segment.
The method according to claim 1, wherein, according to the current network speed and the value of the at least one target parameter, determining the size of the i-th resource fragment to be uploaded currently of the target multimedia resource includes :

Inputting the current network speed and the value of the at least one target parameter into the pre-trained first network model to obtain the size of the i-th resource fragment.
The method according to claim 1 or 2, wherein said at least one target parameter comprises at least one of the following:

The size of the target multimedia resource, the network speed when the terminal uploaded the multimedia resource last time, the time interval between the time when the terminal uploaded the multimedia resource last time and the current upload time, the performance parameters of the terminal, the predicted The uploading network speed of the i-th resource segment, the performance parameter is related to the network speed of uploading multimedia resources supported by the terminal.
The method according to claim 3, wherein the at least one target parameter comprises: the upload network speed of the predicted i-th resource segment;

Acquiring the value of at least one target parameter of the terminal, including:

Predicting the upload network speed of the i-th resource fragment according to the network speed when uploading the first i-1 resource fragments of the target multimedia resource.
The method according to claim 4, wherein, according to the network speed when uploading the first i-1 resource fragments of the target multimedia resource, predicting the upload network speed of the i-th resource fragment comprises:

Inputting the network speed when uploading the first i-1 resource fragments of the target multimedia resource into the pre-trained second network model to obtain the uploading network speed of the i-th resource fragment.
The method according to claim 4, wherein, according to the network speed when uploading the first i-1 resource fragments of the target multimedia resource, predicting the upload network speed of the i-th resource fragment comprises:

Taking the average value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the upload network speed of the i-th resource fragment; or,

Taking the minimum value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the upload network speed of the i-th resource fragment; or,

Taking the maximum value of the network speed when uploading the first i-1 resource fragments of the target multimedia resource as the uploading network speed of the i-th resource fragment.
The method according to any one of claims 1-6, wherein said obtaining the current network speed of the terminal comprises:

upload default file;

Obtain the time spent on uploading the preset file;

The current network speed is determined according to the time spent uploading the preset file and the size of the preset file.
The method according to any one of claims 1-6, wherein said obtaining the current network speed of the terminal comprises:

Acquiring the time when the terminal uploaded the multimedia resource last time;

Obtain the time interval between the time when the terminal last uploaded the multimedia resource and the current upload time;

If the time interval is less than or equal to the preset time interval, the network speed when the multimedia resource was uploaded last time is taken as the current network speed.
The method according to any one of claims 1-8, wherein the i is equal to 1, and before obtaining the current network speed of the terminal, and before the value of at least one target parameter of the terminal, further includes:

A release instruction of the target multimedia resource is received, and the release instruction is used to request uploading of the target multimedia resource.
The method according to claim 9, wherein, before receiving the issuing instruction of the target multimedia resource, further comprising:

receive shooting requests;

According to the shooting request, the target multimedia resource is obtained by shooting.
A device for uploading multimedia resources, comprising:

Processing modules for:

Acquiring the current network speed of the terminal, and the value of at least one target parameter of the terminal, each of the target parameters is related to the size of resource fragmentation;

According to the current network speed and the value of the at least one target parameter, determine the size of the i-th resource segment to be uploaded by the target multimedia resource, where i is an integer greater than or equal to 1;

A resource fragment obtaining module, configured to obtain the ith resource fragment from the target multimedia resource according to the size of the ith resource fragment;

A resource fragment upload module, configured to upload the i-th resource fragment.
An electronic device comprising: at least one processor and memory;

the memory stores computer-executable instructions;

The at least one processor executes the computer-implemented instructions stored in the memory such that the at least one processor performs the method of any one of claims 1-10.
A computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when a processor executes the computer-executable instructions, the method according to any one of claims 1-10 is realized.
A computer program product comprising computer instructions which, when executed by a processor, implement the method of any one of claims 1-10.
A computer program, which implements the method according to any one of claims 1-10 when the computer program is executed by a processor.