CN113839998A - Image data transmission method, device, equipment, storage medium and program product - Google Patents
Image data transmission method, device, equipment, storage medium and program product Download PDFInfo
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Abstract
The disclosure provides an image data transmission method, an image data transmission device, electronic equipment, a computer readable storage medium and a computer program product, and relates to the technical field of media cloud. The method comprises the following steps: receiving a target image acquisition request transmitted by a client, and determining the network quality of the client; when the network quality is less than the preset quality, performing discontinuous cutting on pixel points forming the target image according to at least one of interlacing and alternate rows to obtain sub-image data; and sequentially issuing the sub-image data to the client according to the display sequence corresponding to the actual cutting mode. According to the method, the data volume of single transmission is reduced, and meanwhile, the sub-image data with intervals can enable the user to roughly check the effective image content of the target image, so that the whole time consumption for transmitting the effective image content to the client is shortened, and the image checking experience of the user is improved through shorter waiting time of the user.
Description
Technical Field
The present disclosure relates to the field of image data processing technologies, and in particular, to a method and an apparatus for transmitting image data, an electronic device, a computer-readable storage medium, and a computer program product.
Background
The data volume of image pixel point data which is not coded and compressed is large, common pixel point coding modes comprise YUV and RGB, wherein the YUV coding mode is coded based on brightness (Luminince or Luma) and Chroma (Chroma or Chroma), and the RGB coding mode is coded according to Red, Green and Blue (Red, Green and Blue).
If the network quality is poor, more transmission time is consumed, so that a user viewing the image needs to wait for a longer time, and the use experience is influenced.
Disclosure of Invention
The embodiment of the disclosure provides an image data transmission method, an image data transmission device, an electronic device, a computer-readable storage medium and a computer program product.
In a first aspect, an embodiment of the present disclosure provides an image data transmission method, including: receiving a target image acquisition request transmitted by a client, and determining the network quality of the client; in response to the fact that the network quality is smaller than the preset quality, performing discontinuous cutting on pixel points forming the target image according to at least one of interlacing and alternate arrangement to obtain sub-image data; and sequentially issuing the sub-image data to the client according to the display sequence corresponding to the actual cutting mode so as to gradually restore the target image from the client.
In a second aspect, an embodiment of the present disclosure provides an image data transmission apparatus, including: the request receiving and quality determining unit is configured to receive an acquisition request of a target image transmitted by a client and determine the network quality of the client; the weak under-network interweaving and cutting unit is configured to respond to the condition that the network quality is smaller than the preset quality, and discontinuously cut the pixel points forming the target image according to at least one of interlacing and interlacing; and the sequential issuing unit is configured to issue the sub-image data to the client in sequence according to the display sequence corresponding to the actual cutting mode so that the client gradually recovers the target image.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to implement the image data transmission method as described in any one of the implementations of the first aspect when executed.
In a fourth aspect, the disclosed embodiments provide a non-transitory computer-readable storage medium storing computer instructions for enabling a computer to implement the image data transmission method as described in any one of the implementation manners of the first aspect when executed.
In a fifth aspect, the present disclosure provides a computer program product including a computer program, which when executed by a processor is capable of implementing the image data transmission method as described in any one of the implementation manners of the first aspect.
The image data transmission method provided by the embodiment of the disclosure comprises the following steps: receiving a target image acquisition request transmitted by a client, and determining the network quality of the client; in response to the fact that the network quality is smaller than the preset quality, performing discontinuous cutting on pixel points forming the target image according to at least one of interlacing and alternate arrangement to obtain sub-image data; and sequentially issuing the sub-image data to the client according to the display sequence corresponding to the actual cutting mode so as to gradually restore the target image from the client.
Aiming at the weak network environment, the discontinuous cutting is carried out on the pixel points forming the target image according to at least one of interlacing and isolation under the technical principle of fragment transmission, so that each piece of sub-image data obtained by cutting respectively comprises discontinuous pixel point data forming a complete target image, the single transmission data volume is reduced, meanwhile, the sub-image data with intervals can also enable a user to roughly check the effective image content of the target image, the whole time consumption of transmitting the effective image content to a client side is shortened, and the image checking experience of the user is further improved through the shorter waiting time consumption of the user.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
Other features, objects and advantages of the disclosure will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture to which the present disclosure may be applied;
fig. 2 is a flowchart of an image data transmission method according to an embodiment of the disclosure;
fig. 3 is a flowchart of a method for cutting a target image in different cutting manners according to an embodiment of the present disclosure;
fig. 4 is a flowchart of another image data transmission method provided by the embodiment of the disclosure;
fig. 5 is a block diagram of an image data transmission device according to an embodiment of the disclosure;
fig. 6 is a schematic structural diagram of an electronic device adapted to execute an image data transmission method according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness. It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict.
In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.
Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the image data transmission method, apparatus, electronic device, and computer-readable storage medium of the present disclosure may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 and the server 105 may be installed with various applications for implementing information communication therebetween, such as an image viewing application, a video on demand application, an instant messaging application, and the like.
The terminal apparatuses 101, 102, 103 and the server 105 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices with display screens, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like; when the terminal devices 101, 102, and 103 are software, they may be installed in the electronic devices listed above, and they may be implemented as multiple software or software modules, or may be implemented as a single software or software module, and are not limited in this respect. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of multiple servers, or may be implemented as a single server; when the server is software, the server may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, which is not limited herein.
The server 105 may provide various services through various built-in applications, taking an image viewing class application that may provide an image resource downloading service as an example, the server 105 may implement the following effects when running the image viewing class application: firstly, receiving an incoming acquisition request for a target image from the terminal devices 101, 102, 103 through the network 104, and simultaneously determining the network quality of the terminal devices 101, 102, 103; then, when the network quality of the terminal equipment 101, 102 and 103 is less than the preset quality, performing discontinuous cutting on pixel points forming the target image according to at least one of interlacing and interlacing to obtain sub-image data; and then, sequentially issuing the sub-image data to the client according to the display sequence corresponding to the actual cutting mode, so that the client gradually recovers the target image according to the sequentially received sub-image data.
Note that the acquisition request for the target image may be acquired from the terminal apparatuses 101, 102, and 103 through the network 104, or may be stored locally in the server 105 in advance in various ways. Thus, when the server 105 detects that such data is already stored locally (e.g., a pending image task remaining before starting processing), it may choose to retrieve such data directly from locally, in which case the exemplary system architecture 100 may also not include the terminal devices 101, 102, 103 and the network 104.
The image data transmission method provided in the subsequent embodiments of the present disclosure is generally performed by the server 105 having access to an image library storing a large amount of image original resources, and accordingly, an image data transmission apparatus is also generally provided in the server 105. In addition, in some scenarios, there may be a case where image data is mutually transmitted between two terminal devices, and the terminal device storing the image to be transmitted can perform the same operations as the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring to fig. 2, fig. 2 is a flowchart of an image data transmission method according to an embodiment of the disclosure, where the process 200 includes the following steps:
step 201: receiving a target image acquisition request transmitted by a client, and determining the network quality of the client;
this step is intended to receive, by an execution subject of the image data transmission method (for example, the server 105 shown in fig. 1), an acquisition request of a target image incoming from a client (for example, the terminal devices 101, 102, 103 shown in fig. 1), and determine the network quality of the client.
The acquisition request is used for informing the execution main body client of relevant information of a target image which needs to be acquired, such as an image number, a name of an image file, image content and the like, and a retrieval matching mode based on a keyword can also be supported; the network quality is used to determine whether the network environment currently transmitting data to the client is good or bad, so as to estimate the time consumption for directly transmitting the target image to the client without fragmentation, and the time consumption can be further converted into the waiting time of the user, so that the reason for determining the network quality can be understood as whether the user needs to wait for a long time before the user can view the target image on the client.
Specifically, there are many ways to determine the quality of the network, and since the present disclosure mainly considers the time consumed by the user for waiting, the core reference factor is the transmission speed in the unit time, and besides, the core reference factor may also be supplemented with the influence factors such as the packet loss rate, the packet error rate, the network fluctuation condition, and the like.
Specifically, the operation of determining the network quality may be performed under the control of the execution subject, for example, the execution subject sends a test packet to the client and determines the network quality according to a test result, or the execution subject informs or controls the client to perform a network quality determination operation by itself, so as to directly use a network quality determination result returned by the client. Even, in an actual scenario targeted by the present disclosure, the control client attaches evaluation information on the current network quality of the control client to the execution main body each time the control client initiates a data acquisition request to the execution main body, so that the execution main body can omit a data interaction process, and directly obtain relevant information representing the network quality in the acquisition request.
Step 202: in response to the fact that the network quality is smaller than the preset quality, performing discontinuous cutting on pixel points forming the target image according to at least one of interlacing and alternate arrangement to obtain sub-image data;
in this step, aiming at the condition that the actual network quality determined in step 201 is less than the preset quality, the execution subject divides the complete pixel data into multiple parts by adopting an interweaving and cutting mode on the pixel points of the target image, that is, all the pixel points forming the target image are discontinuously cut according to at least one of interlacing and interlacing, so as to obtain multiple parts of sub-image data, each part of sub-image is composed of discontinuous pixel points obtained by specifically adopting a discontinuous cutting mode, for example, sub-image data composed of only discontinuous rows of pixel points, and sub-image data composed of both discontinuous rows and discontinuous rows of pixel points.
It should be noted that, the interlaced or interlaced cutting does not only refer to one row or another row, but also includes a scheme of multiple rows, and taking a cutting mode only in an interlaced mode and only in another row as an example, assuming that the target image is composed of 100 rows of pixel points, two sub-image data are cut in the cutting mode only in another row, where one sub-image data has 50 rows of pixel point data respectively corresponding to all odd-numbered row pixel point data of 1 st row, 3 rd row, and 5 th row … … and 99 th row of the complete 100 rows of pixel points, and the other sub-image also has 50 rows of pixel point data respectively corresponding to all even-numbered row pixel point data of 2 nd row, 4 th row, and 6 th row … … and 100 th row of the complete 100 rows of pixel points. That is, each time the target image is cut to cover all rows and/or all columns forming the target image by default, that is, in the case that the number of the separated rows or columns is N (an integer greater than or equal to 1), the target image is cut to N +1 sub-image data; in some special cases, the partitioning and/or column cutting may be performed only on the partial rows and/or partial columns constituting the target image according to the present step, for example, on the portion containing the core key content of the target image, for example, on the 20 th row to 60 th row of the total number of 100 rows, according to the scheme provided in the present step.
Different from a conventional integral cutting mode of continuous rows or continuous columns, the method and the device enable the client to display more image contents contained in the target image to the user under the condition of the same data volume by performing discontinuous cutting on the pixel points forming the target image according to at least one of interlacing and interlacing, but only lose some details which basically do not influence the understanding of the actual contents under a human brain supplement mechanism, thereby shortening the whole time consumption of transmitting the effective image contents to the client, which is equivalent to shortening the time consumption of waiting the user before the client sees the effective image contents.
Step 203: and sequentially issuing the sub-image data to the client according to the display sequence corresponding to the actual cutting mode so as to gradually restore the target image from the client.
On the basis of step 202, the execution main body sequentially issues the sub-image data to the client according to the display sequence corresponding to the actual cutting mode, so that the client gradually recovers the target image according to the respective image data received in succession.
That is, each time the client receives one sub-image data, the client starts to present corresponding pixel content on the interface of the client, it should be noted that the sub-image data composed of at least one of non-continuous rows and non-continuous columns of pixel points is also presented on the client according to the original row interval and/or column interval manner, so as to gradually fill the new row and/or new column of pixel point data included in the subsequently received sub-image data into the missing row or column.
For the weak network environment, the image data transmission method provided by the embodiment of the disclosure performs discontinuous cutting on the pixel points forming the target image according to at least one of interlacing and isolation by using the technical principle of fragment transmission, so that each piece of sub-image data obtained by cutting respectively contains discontinuous pixel point data forming a complete target image, and the effective image content of the target image can be roughly viewed by a user due to the existence of the spaced sub-image data while the data amount of single transmission is reduced, thereby shortening the overall time consumption for transmitting the effective image content to the client, and further improving the image viewing experience of the user by shortening the waiting time consumption of the user.
For better understanding of the cutting manners provided by step 202 of the present disclosure and the beneficial effects thereof, the present disclosure further illustrates that three cutting manners may be respectively adopted when the network quality is less than the preset quality by the following fig. 3:
the first method is as follows: cutting each pixel point forming the target image by a row unit and a preset row number at intervals to obtain a plurality of sub-image data formed by the non-continuous rows of pixel points;
the method is to divide all the line pixel points of the target image into a plurality of sub-image data composed of non-continuous line pixel points only by adopting a mode of cutting according to a preset line number.
For example, the interval is 1 line, the interval is 2 lines, or more, it should be noted that the larger the number of the interval lines, the larger the fraction of the split sub-image data, the smaller the data amount of each sub-image data, the smaller the image content presented by the first sub-image data viewed by the user on the client is read, and the longer the invalid waiting time is, so the specific number of the interval lines is not suitable to be larger, and needs to be determined in combination with the determined actual network quality, that is, the worse the network quality (i.e., the lower the unit transmission rate of the core reference factor) is, the larger the number of the interval lines is, and the smaller the number of the interval lines is for the network quality.
The second method comprises the following steps: cutting each pixel point forming the target image by taking the column as a unit and spacing a preset column number to obtain a plurality of sub-image data formed by non-continuous columns of pixel points;
the method is different from the interlaced cutting adopted in the first mode, and adopts a staggered cutting mode instead, namely all the column pixel points of the target image are segmented into a plurality of sub-image data which are formed by non-continuous column pixel points.
Specifically, the selection of interlaced or interlaced segmentation can be determined according to the browsing habit of the user on the image content, the arrangement mode of the image content in the target image in the whole image, and the aspect ratio of the target image, taking a horizontal bar-shaped image (e.g., a clear river) with a larger aspect ratio as an example, the segmentation is more suitable for the horizontal bar-shaped image, whereas a vertical bar-shaped image (e.g., a whole figure) with a larger aspect ratio is more suitable for the vertical bar-shaped image, and the interlaced or interlaced segmentation is also suitable for a square image with a closer aspect ratio.
The third method comprises the following steps: and cutting each pixel point forming the target image according to a mode of interweaving the spaced preset line number and the spaced preset column number to obtain multiple pieces of interlaced cutting sub-image data formed by non-continuous line pixel points and multiple pieces of spaced cutting sub-image data formed by non-continuous column pixel points.
Different from the cutting mode only according to the interlacing or alternate lines given by the first mode and the second mode, the method provides a mode of cutting according to a mode of interlacing with the preset line spacing and the preset line spacing, and is suitable for square images with relatively approximate length-width ratios. The specific implementation of the interweaving and cutting described in this embodiment is that the interweaving and cutting is performed by cutting the row first and then the column first, or the column first and then the row first, or even by cutting the row first N times and then the column M times, and the specific choice of which one is the most suitable one can be selected according to the actual situation, and is not limited herein.
Referring to fig. 4, fig. 4 is a flowchart of another image data transmission method according to an embodiment of the disclosure, where the process 400 includes the following steps:
step 401: receiving a target image acquisition request transmitted by a client, and determining the network quality of the client;
this step is the same as step 201 in the embodiment shown in fig. 2, please refer to the related description of step 201, and will not be described herein again.
Step 402: responding to the fact that the client cannot completely display the target image at one time, and integrally cutting the target image according to the first screen display size of the client to obtain a first screen part and a non-first screen part of the target image;
in the step, aiming at the condition that the client cannot completely display the target image at one time, the execution main body cuts the target image integrally according to the first screen display size of the client to obtain the first screen part and the non-first screen part of the target image.
The condition that the client cannot completely display the target image at one time means that the size of the target image is larger than the maximum size that the client can display at one time (that is, any one of the length or the width of a canvas used for displaying the image in the client is smaller than the length or the width of the target image), which results in that the target image cannot be completely displayed in the canvas or the interface prepared by the client at one time, and therefore, the user must see the complete target image at least twice.
Therefore, aiming at the condition that the user has high probability to view the content with the emphasis on the first screen, the target image can be integrally cut according to the step to obtain the first screen part and the non-first screen part of the target image, and different transmission modes are adopted for the first screen part and the non-first screen part through the subsequent steps.
Step 403: in response to the fact that the network quality is smaller than the preset quality, performing non-continuous cutting on pixel points forming the first screen part according to at least one of interlacing and alternate columns to obtain a plurality of sub-image data formed by the pixel points in the non-continuous rows and/or the non-continuous columns;
on the basis of the step 402, the step aims to perform non-continuous cutting on the pixel points forming the first screen part only according to at least one of interlacing and interlacing in the weak network environment to obtain multiple sub-image data. That is, the entire time consumption for transmitting the effective image content to the client is further reduced by only adopting a non-continuous cutting mode for the image content of the first screen, because the effective image content at this time is changed from the complete target image to the first screen part of the complete target image.
Step 404: sequentially issuing all the sub-image data to the client according to the display sequence corresponding to the actual cutting mode;
step 405: and responding to all the sub-image data transmitted to the client, and sending the image data of the non-first-screen part to the client.
In this step, under the condition that all the sub-image data are transmitted to the client, the execution main body issues the image data of the non-first-screen part to the client, that is, the image data of the non-first-screen part is transmitted to the client by integrally printing an image data packet, so that the checking time of the user who focuses on checking the first-screen part is fully utilized, and better image checking experience is brought to the user.
On the basis of any of the above embodiments, the present disclosure also provides herein a scheme for determining the network quality of the client by the execution subject (i.e., the server 105 shown in fig. 1) described above:
issuing a test data packet with the data volume smaller than the target image to the client;
and determining the network quality of the client according to at least one of the actual transmission rate, the packet loss rate and the network fluctuation condition of the test data packet fed back by the client.
For example, when the actual transmission rate is used as the quality level influence factor, the transmission rate greater than 100K/s and less than 200K/s may be divided as belonging to the third level, the transmission rate greater than 200K/s and less than 500K/s may be divided as belonging to the second level, and the transmission rate greater than 1M/s may be divided as belonging to the first level.
On the basis of the above embodiment, the present disclosure also takes merely determining the network quality based on the actual transmission rate as an example, and provides a scheme of determining whether the measurement belongs to the preset quality of the weak network environment:
calculating to obtain an expected transmission rate according to the actual data volume and expected time consumption of the target image;
the desired transmission rate is determined as a preset quality.
In this scenario, the determination of whether the actual network quality is less than the predetermined quality may actually be converted into a determination of whether the actual transmission rate is less than the desired transmission rate.
The above scheme is adopted because the expected time consumption of the user does not change significantly due to the data size of the target image in practice, and because the user cannot even know or do not care about the data size of the target image in most scenes, but only care about how long the user waits, in the case that the expected time consumption is not changed, the target image with a larger data size will actually increase the expected transmission rate corresponding to the preset quality.
In order to deepen understanding, the disclosure also provides a specific implementation scheme by combining a specific application scenario:
1) a user A accesses a gallery website through an intelligent mobile phone of the user A, and initiates an image acquisition request for acquiring a keyword X to a server corresponding to the image website according to the keyword;
2) the server obtains the current transmission rate-200K/s given by the network environment where the smart phone is currently located from the received image contained in the request;
3) the server determines a target image Y corresponding to the keyword X and the size of the target image Y in the image database, and calculates that the time for completing one-time transmission is 3 seconds;
4) the server selects a mode of cutting the target image Y according to the average expected waiting time of 2 seconds of the user;
5) the server determines that the keyword X is a name and the target image Y is a full-body picture of an object, so that all lines of pixel point data of the target image Y are divided into 3 parts of sub-image data in a mode of cutting every 2 lines;
6) every time the server cuts out a sub-image data, the total size of the sub-image data is 200K, and the sub-image data is transmitted to the smart phone of the user A in a time-consuming mode of 1 second, and at the moment, the user A generally sees the image content of the image Y corresponding to the key X input by the user A on the smart phone after waiting for 1 second;
7) the server completes transmission of the two subsequent sub-image data, and the smart phone of the user A fills the empty lines according to the sequentially received sub-image data and finally recovers gradually.
With further reference to fig. 5, as an implementation of the methods shown in the above figures, the present disclosure provides an embodiment of an image data transmission apparatus, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable in various electronic devices.
As shown in fig. 5, the image data transmission apparatus 500 of the present embodiment may include: a request receiving and quality determining unit 501, a weak network lower interleaving and cutting unit 502 and a sequential issuing unit 503. The request receiving and quality determining unit 501 is configured to receive an acquisition request of a target image, which is transmitted by a client, and determine the network quality of the client; the weak under-network interlacing and cutting unit 502 is configured to perform non-continuous cutting on pixel points forming a target image according to at least one of interlacing and interlacing in response to that the network quality is smaller than a preset quality, so as to obtain sub-image data; and the sequential issuing unit 503 is configured to issue the sub-image data to the client in sequence according to the display sequence corresponding to the actual cutting mode, so that the client gradually recovers the target image.
In the present embodiment, in the image data transmission apparatus 500: the specific processing of the request receiving and quality determining unit 501, the weak network interleaving and cutting unit 502, and the sequential issuing unit 503 and the technical effects thereof can refer to the related descriptions of step 201 and 203 in the corresponding embodiment of fig. 2, and are not described herein again.
In some optional implementations of this embodiment, the weak under-mesh interlace cutting unit 502 may include:
the interlaced cutting subunit is only configured to cut each pixel point forming the target image by a row unit and a preset row number at intervals to obtain a plurality of sub-image data formed by non-continuous rows of pixel points;
or
Only the alternate column cutting subunit is configured to cut each pixel point forming the target image by column units at intervals of preset column numbers to obtain a plurality of sub-image data formed by non-continuous columns of pixel points; wherein the predetermined number of rows is determined based on the network quality.
In some optional implementations of this embodiment, the weak under-mesh interlace cutting unit 502 may include:
and the interlaced alternate-row interlaced cutting subunit is configured to cut each pixel point forming the target image according to a mode of interlacing with the interval preset row number and the interval preset column number to obtain a plurality of interlaced cutting sub-image data formed by the non-continuous row pixel points and a plurality of alternate-row cutting sub-image data formed by the non-continuous column pixel points.
In some optional implementations of the present embodiment, the image data transmission apparatus 500 may further include:
the cutting unit according to the first screen display size is configured to respond to the fact that the client cannot completely display the target image at one time before non-continuously cutting pixel points forming the target image according to at least one of alternate lines and alternate columns, and integrally cut the target image according to the first screen display size of the client to obtain a first screen part and a non-first screen part of the target image;
correspondingly, the weak under-mesh interlace cutting unit 502 may be further configured to:
and carrying out discontinuous cutting on the pixel points forming the first screen part according to at least one of interlacing and alternate columns.
In some optional implementations of this embodiment, the request receiving and quality determining unit 501 comprises a quality determining subunit configured to determine the network quality of the client, and the quality determining subunit may be further configured to:
issuing a test data packet with the data volume smaller than the target image to the client;
and determining the network quality of the client according to at least one of the actual transmission rate, the packet loss rate and the network fluctuation condition of the test data packet fed back by the client.
In some optional implementations of the present embodiment, the image data transmission apparatus 500 may further include: a preset quality determination unit configured to determine a preset quality, the preset quality determination unit may be further configured to:
responding to the fact that the network quality is determined and obtained only based on the actual transmission rate, and calculating to obtain the expected transmission rate according to the actual data volume and the expected time consumption of the target image;
the desired transmission rate is determined as a preset quality.
This embodiment exists as an apparatus embodiment corresponding to the method embodiment described above.
For the weak network environment, the image data transmission device provided in the embodiment of the disclosure performs discontinuous cutting on the pixel points forming the target image according to at least one of interlacing and isolation by using the technical principle of fragment transmission, so that each piece of sub-image data obtained by cutting respectively contains discontinuous pixel point data forming a complete target image, and the effective image content of the target image can be roughly viewed by a user due to the existence of the spaced sub-image data while the data amount of single transmission is reduced, thereby shortening the overall time consumption for transmitting the effective image content to the client, and further improving the image viewing experience of the user by shortening the waiting time consumption of the user.
According to an embodiment of the present disclosure, the present disclosure also provides an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to implement the image data transmission method described in any of the above embodiments when executed.
According to an embodiment of the present disclosure, there is also provided a readable storage medium storing computer instructions for enabling a computer to implement the image data transmission method described in any of the above embodiments when executed.
The disclosed embodiments provide a computer program product that, when executed by a processor, is capable of implementing the image data transmission method described in any of the above embodiments.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 6, the apparatus 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 performs the respective methods and processes described above, such as the image data transmission method. For example, in some embodiments, the image data transmission method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into the RAM 603 and executed by the computing unit 601, one or more steps of the image data transmission method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the image data transmission method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The 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, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server may be a cloud Server, which is also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service extensibility in the conventional physical host and Virtual Private Server (VPS) service.
Aiming at the weak network environment, the embodiment of the disclosure performs discontinuous cutting on the pixel points forming the target image according to at least one of interlacing and isolation under the technical principle of fragment transmission, so that each piece of sub-image data obtained by cutting respectively comprises discontinuous pixel point data forming a complete target image, and the sub-image data with intervals can enable a user to roughly check the effective image content of the target image while reducing the data volume of single transmission, thereby shortening the whole time consumption of transmitting the effective image content to a client, and further improving the image checking experience of the user by shorter waiting time of the user.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (15)
1. An image data transmission method comprising:
receiving a target image acquisition request transmitted by a client, and determining the network quality of the client;
in response to the network quality being smaller than the preset quality, performing discontinuous cutting on pixel points forming the target image according to at least one of interlacing and alternate arrangement to obtain sub-image data;
and sequentially issuing the sub-image data to the client according to the display sequence corresponding to the actual cutting mode so that the client gradually recovers the target image.
2. The method according to claim 1, wherein the non-continuous cutting of the pixel points constituting the target image in at least one of interlaced and alternate rows to obtain sub-image data comprises:
cutting each pixel point forming the target image by a row unit and a preset row number at intervals to obtain a plurality of sub-image data formed by non-continuous rows of pixel points;
or
Cutting each pixel point forming the target image by taking the pixel points as a unit and spacing a preset number of columns to obtain a plurality of sub-image data formed by non-continuous columns of pixel points; wherein the preset number of rows is determined based on the network quality.
3. The method according to claim 1, wherein the non-continuous cutting of the pixel points constituting the target image in at least one of interlaced and alternate rows to obtain sub-image data comprises:
and cutting each pixel point forming the target image according to a mode of interweaving the spaced preset line number and the spaced preset column number to obtain multiple interlaced cutting sub-image data formed by non-continuous line pixel points and multiple spaced cutting sub-image data formed by non-continuous column pixel points.
4. The method of claim 1, wherein prior to non-contiguously segmenting pixel points comprising the target image in at least one of interlaced and interlaced columns, further comprising:
responding to the fact that the client cannot completely display the target image at one time, and integrally cutting the target image according to the first screen display size of the client to obtain a first screen part and a non-first screen part of the target image;
correspondingly, the non-continuous cutting of the pixel points forming the target image according to at least one of interlaced lines and alternate lines comprises the following steps:
and cutting the pixel points forming the first screen part according to at least one of interlacing and alternate columns.
5. The method of any of claims 1-4, wherein the determining the network quality of the client comprises:
issuing a test data packet with the data volume smaller than the target image to the client;
and determining the network quality of the client according to at least one of the actual transmission rate, the packet loss rate and the network fluctuation condition of the test data packet fed back by the client.
6. The method of claim 5, wherein determining the preset quality comprises:
responding to the network quality determined based on the actual transmission rate, and calculating to obtain an expected transmission rate according to the actual data volume and expected time consumption of the target image;
determining the desired transmission rate as the preset quality.
7. An image data transmission apparatus comprising:
the request receiving and quality determining unit is configured to receive an acquisition request of a target image transmitted by a client and determine the network quality of the client;
the weak under-network interweaving and cutting unit is configured to respond to the condition that the network quality is smaller than the preset quality, and discontinuously cut the pixel points forming the target image according to at least one of interlacing and interlacing;
and the sequential issuing unit is configured to issue the sub-image data to the client in sequence according to the display sequence corresponding to the actual cutting mode so that the client gradually recovers the target image.
8. The apparatus of claim 7, wherein the weak under-mesh interweaving cutting unit comprises:
the interlaced cutting subunit is only configured to cut each pixel point forming the target image by a row unit at intervals of a preset number of rows to obtain multiple sub-image data formed by non-continuous rows of pixel points;
or
Only the alternate column cutting subunit is configured to cut each pixel point forming the target image by column units and interval preset column numbers to obtain a plurality of sub-image data formed by non-continuous columns of pixel points; wherein the preset number of rows is determined based on the network quality.
9. The apparatus of claim 7, wherein the weak under-mesh interweaving cutting unit comprises:
and the interlaced alternate column interweaving cutting subunit is configured to cut each pixel point forming the target image according to a mode of interweaving the alternate preset line number and the alternate preset column number to obtain a plurality of interlaced cutting sub-image data formed by the non-continuous line pixel points and a plurality of alternate column cutting sub-image data formed by the non-continuous column pixel points.
10. The apparatus of claim 7, further comprising:
the cutting unit according to the first screen display size is configured to respond to the fact that the client cannot completely display the target image at one time before the pixel points of the target image are subjected to line spacing and/or line spacing cutting, and integrally cut the target image according to the first screen display size of the client to obtain a first screen part and a non-first screen part of the target image;
correspondingly, the weak under-mesh interlace cutting unit is further configured to:
and cutting the pixel points forming the first screen part according to at least one of interlacing and alternate columns.
11. The apparatus according to any of claims 7-10, wherein the request reception and quality determination unit comprises a quality determination subunit configured to determine a network quality of a client, the quality determination subunit further configured to:
issuing a test data packet with the data volume smaller than the target image to the client;
and determining the network quality of the client according to at least one of the actual transmission rate, the packet loss rate and the network fluctuation condition of the test data packet fed back by the client.
12. The apparatus of claim 11, further comprising: a preset quality determination unit configured to determine the preset quality, the preset quality determination unit further configured to:
responding to the network quality determined based on the actual transmission rate, and calculating to obtain an expected transmission rate according to the actual data volume and expected time consumption of the target image;
determining the desired transmission rate as the preset quality.
13. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the image data transmission method of any one of claims 1-6.
14. A non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the image data transmission method according to any one of claims 1 to 6.
15. A computer program product comprising a computer program which, when being executed by a processor, carries out the steps of the image data transmission method according to any one of claims 1 to 6.
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