CN114125496A - Video service sensing method and device, video transmission equipment and receiving equipment - Google Patents
Video service sensing method and device, video transmission equipment and receiving equipment Download PDFInfo
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Abstract
The invention provides a video service sensing method and device, video transmission equipment and receiving equipment. The method comprises the following steps: analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source; calculating the QoE evaluation value of each quality difference stable segment in different playing parameters; fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with preset analysis parameters for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment; and transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient. The method can simplify the fitting process of the video service perception parameters, simultaneously ensure the real-time precision of the perception algorithm and reduce the influence of the video content on the precision of the simplified algorithm.
Description
Technical Field
The present invention relates to the technical field of data services, and in particular, to a video service sensing method, apparatus, video transmission device, and receiving device.
Background
At present, the video service perception method comprises an analytic method and an artificial intelligence training method; the method comprises the steps of selecting a proper coefficient according to input parameters by adopting an analysis method, calculating the perceived Quality of Experience (QoE) according to a given formula, wherein the model is relatively fixed by adopting the method, the calculation efficiency is higher, but the precision is greatly influenced by factors except the input parameters; and (3) training the model by adopting an artificial intelligence training method and combining the QoE label with the input parameters according to the manual work so as to expect to achieve a better fitting model for manual judgment. However, by adopting the method, the model precision is greatly influenced by the training sample size, and the calculation complexity is influenced by the model complexity, so that more calculation resources are needed.
In the two perception methods, the precision and the efficiency of the artificial intelligence training mode depend on the scale of a data set and the complexity of an algorithm, and the perception of large-scale concurrent services is difficult to realize; the analysis method is influenced by factors other than input parameters, so that higher precision is difficult to achieve; therefore, there is a need for an improved method of video service awareness to simultaneously meet the objectives of increased accuracy and reduced computational complexity.
Disclosure of Invention
The technical scheme of the invention aims to provide a video service perception method, a video service perception device, video transmission equipment and receiving equipment, which are used for simplifying the fitting process of video service perception parameters, ensuring the real-time precision of a perception algorithm and reducing the influence of video content on the precision of the simplified algorithm.
The embodiment of the invention provides a video service perception method, which comprises the following steps:
analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source;
calculating the QoE evaluation value of each quality difference stable segment in different playing parameters;
fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with preset analysis parameters for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment;
and transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient.
Optionally, the video service sensing method, wherein the analyzing the quality parameter of the target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source includes:
calculating a QoE evaluation value of each duration period through a model training method according to the quality parameters of the target video source in each duration period;
and analyzing the transition segment obtained after the transition segmentation of the target video source according to the QoE evaluation value of each time period to obtain a plurality of quality difference stable segments.
Optionally, the video service sensing method, wherein calculating a QoE evaluation value of each duration period according to a quality parameter of the target video source in each duration period by using a model training method includes:
grading scenes corresponding to each quality parameter in the target video source;
and calculating QoE evaluation values of the target video source when the quality parameters are combined at different levels in each duration period by a model training method.
Optionally, the method for sensing video service, wherein analyzing a transition segment obtained after a transition segmentation is performed on the target video source according to a QoE evaluation value of each duration period to obtain a plurality of quality-difference stable segments includes:
when the duration of the transition segment is greater than the duration period, judging whether the QoE evaluation value correspondingly obtained in each duration period in the transition segment meets a preset stability condition;
determining the video clip corresponding to the duration period preset with the preset stability condition as the quality difference stable clip;
and when the duration of the transition segment is less than or equal to the duration period, and the corresponding QoE evaluation value obtained in the duration period corresponding to the transition segment meets the preset stability condition, determining the transition segment as the quality difference stability segment.
Optionally, the method for sensing video service, wherein the calculating a quality of experience QoE evaluation value of each of the quality-difference-stable segments at different playing parameters includes:
selecting a target quality difference stable segment in at least one quality difference stable segment in each transition segment; the difference value between the QoE evaluation value of the target quality difference stable segment and the average value of the QoE evaluation values of the transition segment is minimum;
and calculating the QoE evaluation value of each target quality difference stable segment under different playing parameters.
Optionally, the video service awareness method, wherein the method further includes:
and when the target video source is transmitted, marking the starting time point, the ending time point and/or the segment duration of each transition segment.
Optionally, the video service awareness method, wherein the method further includes:
identifying the poor quality stabilized segment while transmitting the target video source.
The embodiment of the invention also provides a video service perception method, which comprises the following steps:
acquiring a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
and analyzing the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient to obtain a service perception evaluation result of the target video source.
Optionally, the video service sensing method, wherein analyzing, according to the service analysis coefficient, the service quality of each of the quality difference stable segments of the target video source includes:
and replacing the calculation coefficient in the service quality simplification algorithm with the service analysis coefficient corresponding to the quality difference stable segment to obtain the service perception evaluation result of the target video source.
An embodiment of the present invention further provides a video transmission device, which includes a processor, where the processor is configured to:
analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source;
calculating the QoE evaluation value of each quality difference stable segment in different playing parameters;
fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with preset analysis parameters for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment;
and transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient.
Optionally, the video transmission device, wherein the processor analyzes the quality parameter of the target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source, includes:
calculating a QoE evaluation value of each duration period through a model training method according to the quality parameters of the target video source in each duration period;
and analyzing the transition segment obtained after the transition segmentation of the target video source according to the QoE evaluation value of each time period to obtain a plurality of quality difference stable segments.
Optionally, the video transmission device, wherein the processor calculates a QoE evaluation value for each duration period according to a quality parameter of the target video source in each duration period through a model training method, and the method includes:
grading scenes corresponding to each quality parameter in the target video source;
and calculating QoE evaluation values of the target video source when the quality parameters are combined at different levels in each duration period by a model training method.
Optionally, the video transmission device, wherein the processor analyzes a transition segment obtained after the transition segmentation is performed on the target video source according to the QoE evaluation value of each duration period to obtain a plurality of quality-difference stable segments, and the method includes:
when the duration of the transition segment is greater than the duration period, judging whether the QoE evaluation value correspondingly obtained in each duration period in the transition segment meets a preset stability condition;
determining the video clip corresponding to the duration period preset with the preset stability condition as the quality difference stable clip;
and when the duration of the transition segment is less than or equal to the duration period, and the corresponding QoE evaluation value obtained in the duration period corresponding to the transition segment meets the preset stability condition, determining the transition segment as the quality difference stability segment.
Optionally, the video transmission device, wherein the processor calculates a quality of experience QoE assessment value of each of the quality-difference-stabilized segments at different playing parameters, includes:
selecting a target quality difference stable segment in at least one quality difference stable segment in each transition segment; the difference value between the QoE evaluation value of the target quality difference stable segment and the average value of the QoE evaluation values of the transition segment is minimum;
and calculating the QoE evaluation value of each target quality difference stable segment under different playing parameters.
Optionally, the video transmission device, wherein the processor is further configured to:
and when the target video source is transmitted, marking the starting time point, the ending time point and/or the segment duration of each transition segment.
Optionally, the video transmission device, wherein the processor is further configured to:
identifying the poor quality stabilized segment while transmitting the target video source.
An embodiment of the present invention further provides a video receiving device, including a processor, where the processor is configured to:
acquiring a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
and analyzing the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient to obtain a service perception evaluation result of the target video source.
Optionally, the video transmission device, wherein the analyzing, by the processor, the service quality of each of the quality difference stable segments of the target video source according to the service analysis coefficient includes:
and replacing the calculation coefficient in the service quality simplification algorithm with the service analysis coefficient corresponding to the quality difference stable segment to obtain the service perception evaluation result of the target video source.
The embodiment of the present invention further provides a video service sensing device, which includes:
the analysis module is used for analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source;
the computing module is used for computing the QoE (quality of experience) evaluation value of each quality difference stable segment under different playing parameters;
the fitting module is used for fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with preset analysis parameters for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment;
and the transmission module is used for transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient.
The embodiment of the present invention further provides a video service sensing device, which includes:
the acquisition module is used for acquiring a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
and the analysis module is used for analyzing and analyzing the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient to obtain a service perception evaluation result of the target video source.
An embodiment of the present invention further provides a network device, which includes a processor, a memory, and a program stored in the memory and executable on the processor, and when the program is executed by the processor, the method implements the steps in the video service awareness method according to any one of the above descriptions.
An embodiment of the present invention further provides a readable storage medium, where the readable storage medium stores a program, and the program, when executed by a processor, implements the steps in the video service awareness method according to any one of the above.
At least one of the above technical solutions of the present invention has the following beneficial effects:
according to the video service perception method, the QoE evaluation values of the quality difference stable segments corresponding to different playing parameters are calculated by using the complex model, and the real-time precision of the subsequent video quality evaluation is ensured; fitting the QoE evaluation value with a preset analysis coefficient of video service perception by using a simple model to obtain a service analysis coefficient for video service perception, and simplifying the fitting process of video service perception parameters. Therefore, the method of the embodiment of the invention can simplify the fitting process of the video service perception parameters, simultaneously ensure the real-time precision of the perception algorithm and reduce the influence of the video content on the precision of the simplified algorithm.
Drawings
Fig. 1 is a schematic flowchart of a first implementation manner of a video service sensing method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a second implementation manner of the video service sensing method according to the embodiment of the present invention;
fig. 3 is a schematic structural diagram of a video transmission apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a video receiving device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a first implementation manner of the video service sensing apparatus according to the embodiment of the present invention;
fig. 6 is a schematic structural diagram of a second implementation manner of the video service sensing apparatus according to the embodiment of the present invention;
fig. 7 is a schematic structural diagram of a first implementation manner of a network device according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a second implementation manner of a network device according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
In order to simplify the fitting process of video service perception parameters, ensure the real-time precision of a perception algorithm and reduce the influence of video content on the precision of the simplified algorithm, the embodiment of the invention provides a method for video service perception, which transfers the complexity of video quality evaluation during video transmission or reception to a video source end for one-time calculation, segments a video source at the video source end, evaluates to obtain a plurality of quality difference stable segments, and can calculate the QoE evaluation values of the quality difference stable segments during different playing parameters by using a complex algorithm with higher precision; and then, fitting the QoE evaluation values of different playing parameters with preset analysis coefficients of video service perception by using a simple model to obtain model coefficients of the simple model, wherein the model coefficients are used as the evaluation coefficients of the simple model of the video source segment, so that the simple model coefficients can be used for the subsequent video quality evaluation of the video segment at a network monitoring end or a video receiving end.
According to the method for sensing the video service, disclosed by the embodiment of the invention, the QoE evaluation values of the quality difference stable segments corresponding to different playing parameters can be calculated by using a complex model, so that the real-time precision of the subsequent video quality evaluation is ensured; the QoE evaluation value can be fitted with the preset analysis coefficient of video service perception by using a simple model, so that the service analysis coefficient for video service perception is obtained, and the fitting process of video service perception parameters is simplified. Therefore, the method of the embodiment of the invention can simplify the fitting process of the video service perception parameters, simultaneously ensure the real-time precision of the perception algorithm and reduce the influence of the video content on the precision of the simplified algorithm.
Specifically, as shown in fig. 1, the method for video service awareness according to the embodiment of the present invention includes:
s110, analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source;
s120, calculating the QoE evaluation value of each quality difference stable segment under different playing parameters;
s130, fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with a preset analysis parameter for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment;
and S140, transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient.
Optionally, in step S110, the target video source is a video transmitted by a video source end, and according to the method for sensing video service in the embodiment of the present invention, quality parameters of the video are analyzed at the video source end, a QoE evaluation value of each duration period can be calculated by using a model training method, and further, a plurality of quality difference stable segments can be obtained through analysis according to the QoE evaluation value of each duration period.
In the embodiment of the present invention, optionally, the quality parameter of the target video source includes, but is not limited to, only packet loss rate, time delay, and/or bit error rate.
Specifically, step S110, analyzing the quality parameters of the target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source, includes:
calculating a QoE evaluation value of each duration period through a model training method according to the quality parameters of the target video source in each duration period;
and analyzing the transition segment obtained after the transition segmentation of the target video source according to the QoE evaluation value of each time period to obtain a plurality of quality difference stable segments.
Calculating a QoE evaluation value of each duration period through a model training method according to the quality parameters of the target video source in each duration period, wherein the QoE evaluation value comprises the following steps:
grading scenes corresponding to each quality parameter in the target video source;
and calculating QoE evaluation values of the target video source when the quality parameters are combined at different levels in each duration period by a model training method.
For example, under the condition that the quality parameters include a network packet loss rate and a delay rate, a scene in which the network packet loss correspondingly exists may be classified according to different packet loss rates, for example, the packet loss rate is divided into the following cases: the network packet loss level corresponding to the scene is determined according to the packet loss rate condition in the network packet loss scene at several levels of 0.1%, 0.4%, 1%, 3%, 5% and 10%; the scenes corresponding to the network delay can be classified according to different delay rates, for example, the delay rate is divided into a plurality of levels, and the level of the network delay corresponding to the scene is determined according to the delay condition of the network delay scene.
Under the condition that the scenes corresponding to each quality parameter are respectively graded, a fixed duration period T1 can be further set, and the QoE evaluation values of the target video source in different duration periods T1 when the quality parameters are combined at different grades can be evaluated through a model training method.
It should be noted that, in the embodiment of the present invention, the QoE evaluation value calculation mode for the target video source at different time periods T1 when the quality parameters are combined at different levels may be calculated and obtained by using a general complex model training mode, and optionally, the complex model training mode may be an all-media artificial intelligence training mode, that is, a model training mode is performed according to artificial labels and by combining input parameters, so as to achieve a better model for artificial judgment, and obtain a higher evaluation precision value.
Those skilled in the art will appreciate specific ways of full media artificial intelligence training and will not be described in detail herein.
According to the method for sensing the video service, provided by the embodiment of the invention, by obtaining the QoE evaluation values of the target video source in different time length periods T1 when the quality parameters are combined in different grades, the transition fragments obtained after the transition segmentation of the target video source can be further analyzed according to the QoE evaluation value of each time length period, so that a plurality of quality difference stable fragments are obtained.
Specifically, the method further comprises: and performing transition segmentation on the target video source.
The transition segmentation method for the target video source can be used for dividing videos belonging to different playing scenes into different transition segments according to the video playing scene in the video source as a dividing basis, and determining the transition time point of each transition segment.
Optionally, the method further comprises: labeling is performed on each transition segment, such as labeling the start time point, the end time point and/or the segment duration of each transition segment.
For example, according to the play time sequence, the end time point of each transition segment is sequentially marked as: t _ context (0), … …, t _ context (i) and t _ context (i +1), etc.; and sequentially marking the segment duration of each transition segment as: duration _ t _ context (0), … …, duration _ t _ context (i), duration _ t _ context (i +1), and the like.
In the embodiment of the present invention, after a target video source is subjected to transition segmentation, a transition segment obtained after the target video source is subjected to transition segmentation is analyzed according to a QoE evaluation value of each duration period, so as to obtain a plurality of quality-difference stable segments, including:
when the duration of the transition segment is greater than the duration period, judging whether the QoE evaluation value correspondingly obtained in each duration period in the transition segment meets a preset stability condition;
determining the video clip corresponding to the duration period preset with the preset stability condition as the quality difference stable clip;
and when the duration of the transition segment is less than or equal to the duration period, and the corresponding QoE evaluation value obtained in the duration period corresponding to the transition segment meets the preset stability condition, determining the transition segment as the quality difference stability segment.
Specifically, when the duration of one transition segment is greater than the duration period T1, the stability of the QoE evaluation value in each duration period T1 in the transition segment is determined, and a video segment corresponding to the duration period meeting the preset stability condition is determined as a quality difference stable segment.
Optionally, when the QoE evaluation value calculated in one of the time period T1 is smaller than a preset threshold, it may be determined that the quality of the corresponding video segment is stable under the same damage, otherwise, the quality is considered to be unstable, that is, the video segment does not belong to the quality difference stable segment.
When the duration of one transition section is less than or equal to the duration period T1, if the QoE evaluation value correspondingly obtained in the duration period corresponding to the transition section meets the preset stability condition, determining that the transition section is the quality difference stable section, otherwise, determining that the transition section does not belong to the quality difference stable section.
Optionally, the method further comprises:
identifying the poor quality stabilized segment while transmitting the target video source.
Optionally, the method further comprises: recording each identified poor quality stable segment to obtain a set of poor quality stable segments.
In this embodiment of the present invention, optionally, in step S120, calculating a quality of experience QoE evaluation value of each of the quality-stabilized clips at different playing parameters includes:
selecting a target quality difference stable segment in at least one quality difference stable segment in each transition segment; the difference value between the QoE evaluation value of the target quality difference stable segment and the average value of the QoE evaluation values of the transition segment is minimum;
and calculating the QoE evaluation value of each target quality difference stable segment under different playing parameters.
Specifically, in the method according to the embodiment of the present invention, for the quality difference stable segment determined in each transition segment, a target quality difference stable segment with the smallest difference between the QoE evaluation value and the average value of the QoE evaluation values of the transition segment is selected, and is used to calculate the QoE evaluation values at different playing parameters.
Because the difference between the QoE evaluation value of the target quality difference stable segment and the average value of the QoE evaluation values of the corresponding transition segments is minimum, the method of the embodiment of the invention can accurately reflect the QoE evaluation values of the whole transition segment under the combination conditions of different playing parameters and the like by selecting the target quality difference stable segment with the minimum difference of the QoE evaluation values to carry out the QoE evaluation of the combination conditions of different playing parameters and the like, thereby achieving the aim of simplifying the algorithm on the basis of ensuring the calculation accuracy.
In the embodiment of the present invention, optionally, the different playing parameters include, but are not limited to, resolution, bitrate, and/or frame rate.
With the above embodiment, the target quality difference stabilizing segment is a representative segment used for calculating QoE evaluation values when different playing parameter condition combinations are combined, which may also be referred to as a representative period, and the total QoE evaluation value of the quality difference stabilizing segment where the target quality difference stabilizing segment is located is represented by calculating QoE evaluation values of more parameter permutation combinations for the representative period.
In the method for video service awareness according to the embodiment of the present invention, after obtaining the total QoE evaluation value of each quality difference stable segment, in step S130, the QoE evaluation value of each quality difference stable segment at different playing parameters is fitted to the preset analysis parameter for video service awareness, so as to obtain a service analysis coefficient for video service awareness of each quality difference stable segment.
Further, on the basis of the obtained service analysis coefficient, when the video source end transmits the target video source, the video segment corresponding to each of the quality difference stable segments in the target video source includes the service analysis coefficient, so that the video quality evaluation method can be used for performing video quality evaluation on the video segment at a subsequent network monitoring end or a video receiving end.
By adopting the method, the preset analytical parameters are fitted by using the simple model, and the model coefficient of the simple model is obtained to be used as the simple model evaluation coefficient of the quality difference stable segment.
Optionally, in step S130, a service analysis coefficient for service sensing of each quality difference stable segment may be obtained through a fitting manner of an algorithm such as least square, random forest, and the like.
Optionally, the method further comprises: and when the target video source is transmitted, identifying the quality difference stable segment so as to identify the quality difference stable segment at a network monitoring end or a video receiving end.
The method for sensing the video service can simplify the fitting process of the sensing parameters of the video service, simultaneously ensure the real-time precision of the sensing algorithm and reduce the influence of the video content on the precision of the simplified algorithm.
It should be noted that, in the embodiment of the present invention, the simple algorithm mentioned in the embodiment of the present invention is generally a network planning model of a transport layer and an evaluation algorithm with few input parameters; complex algorithms are often referred to as bitstream models or hybrid models. In the embodiment of the invention, the algorithm model adopted in each implementation process is not specifically limited.
An embodiment of the present invention further provides a method for video service awareness, as shown in fig. 2, including:
s210, acquiring a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
s220, analyzing and analyzing the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient to obtain a service perception evaluation result of the target video source.
By adopting the video service perception method provided by the embodiment of the invention, the network monitoring end or the video receiving end of the target video source is obtained, the service analysis coefficient in the target video source is applied to the video quality analysis algorithm, and the service perception evaluation result of the target video source is obtained.
Optionally, a network monitoring end or a video receiving end of the target video source is obtained, and a simplified algorithm of video quality analysis is utilized to perform service perception evaluation analysis on the target video source; specifically, the service perception evaluation result of the target video source can be obtained by replacing the service analysis coefficient of each quality difference stable segment with the coefficient in the video quality analysis simplified algorithm.
Optionally, the video quality analysis simplification algorithm obtains a service perception evaluation result of the target video source by using the monitored time delay, code rate, packet loss rate and the like in the target video source and combining the obtained service analysis coefficient in the video segment
Therefore, optionally, the method for video service awareness, wherein, in step S220, performing an analysis on the service quality of each of the quality-difference-stable segments of the target video source according to the service analysis coefficient includes:
and replacing the calculation coefficient in the service quality simplification algorithm with the service analysis coefficient corresponding to the quality difference stable segment to obtain the service perception evaluation result of the target video source.
It should be noted that, in the embodiment of the present invention, the video quality analysis simplification algorithm does not refer to a specific simple analysis algorithm, and generally refers to a calculation model that requires fewer input parameters and partial fitting coefficients.
By adopting the method for sensing the video service, the complexity of video quality evaluation during video transmission or reception is transferred to a video source end for one-time calculation, after the video is segmented and judged to be a quality difference stable segment, data (a target quality difference stable segment) in a specific time period is selected to form a data set, the data set is combined according to multiple levels of different resolutions, different code rates, different time delays, different packet losses and the like, and the evaluation quality of each data in the data set is marked by using a complex algorithm with higher precision. And then, fitting the labeled data by using the simple model to obtain a model coefficient of the simple model, namely obtaining a business analysis coefficient of each quality difference stable segment as a simple model evaluation coefficient of the segment.
In video transmission, the network monitoring end or the receiving end can perform analysis calculation according to the simple evaluation model and the service analysis coefficient of the quality difference stable segment to obtain the video quality of the current segment.
By adopting the method, the fitting process of the video service perception parameters can be simplified, the real-time precision of the perception algorithm is ensured, and the influence of the video content on the precision of the simplified algorithm is reduced.
An embodiment of the present invention further provides a video transmission device, as shown in fig. 3, including a processor 310, where the processor 310 is configured to:
analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source;
calculating the QoE evaluation value of each quality difference stable segment in different playing parameters;
fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with preset analysis parameters for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment;
and transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient.
Optionally, the video transmission apparatus, wherein the processor 310 analyzes the quality parameter of the target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source, includes:
calculating a QoE evaluation value of each duration period through a model training method according to the quality parameters of the target video source in each duration period;
and analyzing the transition segment obtained after the transition segmentation of the target video source according to the QoE evaluation value of each time period to obtain a plurality of quality difference stable segments.
Optionally, the video transmission apparatus, wherein the processor 310 calculates a QoE evaluation value for each duration period according to a quality parameter of the target video source in each duration period through a model training method, including:
grading scenes corresponding to each quality parameter in the target video source;
and calculating QoE evaluation values of the target video source when the quality parameters are combined at different levels in each duration period by a model training method.
Optionally, in the video transmission device, the analyzing, by the processor 310, a transition segment obtained after the transition segmentation is performed on the target video source according to the QoE evaluation value of each duration period, so as to obtain a plurality of quality-difference-stable segments includes:
when the duration of the transition segment is greater than the duration period, judging whether the QoE evaluation value correspondingly obtained in each duration period in the transition segment meets a preset stability condition;
determining the video clip corresponding to the duration period preset with the preset stability condition as the quality difference stable clip;
and when the duration of the transition segment is less than or equal to the duration period, and the corresponding QoE evaluation value obtained in the duration period corresponding to the transition segment meets the preset stability condition, determining the transition segment as the quality difference stability segment.
Optionally, the video transmission apparatus, wherein the processor 310 calculates a quality of experience QoE evaluation value of each of the quality-difference-stabilized segments at different playing parameters, including:
selecting a target quality difference stable segment in at least one quality difference stable segment in each transition segment; the difference value between the QoE evaluation value of the target quality difference stable segment and the average value of the QoE evaluation values of the transition segment is minimum;
and calculating the QoE evaluation value of each target quality difference stable segment under different playing parameters.
Optionally, the video transmission apparatus, wherein the processor 310 is further configured to:
and when the target video source is transmitted, marking the starting time point, the ending time point and/or the segment duration of each transition segment.
Optionally, the video transmission apparatus, wherein the processor 310 is further configured to:
identifying the poor quality stabilized segment while transmitting the target video source.
An embodiment of the present invention further provides a video receiving apparatus, as shown in fig. 4, including a processor 410, where the processor 410 is configured to:
acquiring a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
and analyzing the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient to obtain a service perception evaluation result of the target video source.
Optionally, the video receiving apparatus, wherein the analyzing, by the processor 410, the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient includes:
and replacing the calculation coefficient in the service quality simplification algorithm with the service analysis coefficient corresponding to the quality difference stable segment to obtain the service perception evaluation result of the target video source.
An embodiment of the present invention further provides a video service sensing apparatus, as shown in fig. 5, including:
an analysis module 510, configured to analyze a quality parameter of a target video source to obtain multiple quality difference stable segments with stable quality parameters in the target video source;
a calculating module 520, configured to calculate a quality of experience QoE assessment value of each quality-stabilized clip at different playing parameters;
a fitting module 530, configured to fit the QoE evaluation value of each quality difference stable segment at different playing parameters with a preset analysis parameter for video service perception, so as to obtain a service analysis coefficient for video service perception on each quality difference stable segment;
a transmission module 540, configured to transmit the target video source, where a video segment of the target video source corresponding to each of the quality difference stable segments includes the service analysis coefficient.
Optionally, in the video service sensing apparatus, the analyzing module 510 analyzes the quality parameter of the target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source, and includes:
calculating a QoE evaluation value of each duration period through a model training method according to the quality parameters of the target video source in each duration period;
and analyzing the transition segment obtained after the transition segmentation of the target video source according to the QoE evaluation value of each time period to obtain a plurality of quality difference stable segments.
Optionally, in the video service sensing apparatus, the analyzing module 510 calculates a QoE evaluation value of each duration period according to a quality parameter of the target video source in each duration period through a model training method, where the method includes:
grading scenes corresponding to each quality parameter in the target video source;
and calculating QoE evaluation values of the target video source when the quality parameters are combined at different levels in each duration period by a model training method.
Optionally, in the video service sensing apparatus, the analyzing module 510 analyzes a transition segment obtained after the transition segmentation is performed on the target video source according to the QoE evaluation value of each duration period, so as to obtain a plurality of quality-difference stable segments, where the method includes:
when the duration of the transition segment is greater than the duration period, judging whether the QoE evaluation value correspondingly obtained in each duration period in the transition segment meets a preset stability condition;
determining the video clip corresponding to the duration period preset with the preset stability condition as the quality difference stable clip;
and when the duration of the transition segment is less than or equal to the duration period, and the corresponding QoE evaluation value obtained in the duration period corresponding to the transition segment meets the preset stability condition, determining the transition segment as the quality difference stability segment.
Optionally, the video service sensing apparatus, wherein the calculating module 520 calculates the quality of experience QoE assessment value of each of the quality-difference stable segments at different playing parameters, includes:
selecting a target quality difference stable segment in at least one quality difference stable segment in each transition segment; the difference value between the QoE evaluation value of the target quality difference stable segment and the average value of the QoE evaluation values of the transition segment is minimum;
and calculating the QoE evaluation value of each target quality difference stable segment under different playing parameters.
Optionally, the video service awareness apparatus, wherein the transmission module 540 is further configured to:
and when the target video source is transmitted, marking the starting time point, the ending time point and/or the segment duration of each transition segment.
Optionally, the video service awareness apparatus, wherein the transmission module 540 is further configured to:
identifying the poor quality stabilized segment while transmitting the target video source.
An embodiment of the present invention further provides a video service sensing apparatus, as shown in fig. 6, including:
an obtaining module 610, configured to obtain a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
and the analyzing module 620 is configured to analyze the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient, so as to obtain a service perception evaluation result of the target video source.
Optionally, in the video service sensing apparatus, the analyzing module 620 analyzes and analyzes the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient, and the analyzing includes:
and replacing the calculation coefficient in the service quality simplification algorithm with the service analysis coefficient corresponding to the quality difference stable segment to obtain the service perception evaluation result of the target video source.
Another aspect of the embodiments of the present invention further provides a network device, as shown in fig. 7, including: a processor 701; and a memory 703 connected to the processor 701 through a bus interface 702, where the memory 703 is used to store programs and data used by the processor 701 in executing operations, and the processor 701 calls and executes the programs and data stored in the memory 703.
The transceiver 704 is connected to the bus interface 702, and is configured to receive and transmit data under the control of the processor 701, and specifically, the processor 701 is configured to read a program in the memory 703 and execute the following processes:
analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source;
calculating the QoE evaluation value of each quality difference stable segment in different playing parameters;
fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with preset analysis parameters for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment;
and transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient.
Optionally, in the network device, the analyzing, by the processor 701, the quality parameter of the target video source to obtain multiple quality difference stable segments with stable quality parameters in the target video source includes:
calculating a QoE evaluation value of each duration period through a model training method according to the quality parameters of the target video source in each duration period;
and analyzing the transition segment obtained after the transition segmentation of the target video source according to the QoE evaluation value of each time period to obtain a plurality of quality difference stable segments.
Optionally, the network device, wherein the processor 701 calculates a QoE evaluation value for each duration period according to a quality parameter of the target video source in each duration period through a model training method, and includes:
grading scenes corresponding to each quality parameter in the target video source;
and calculating QoE evaluation values of the target video source when the quality parameters are combined at different levels in each duration period by a model training method.
Optionally, in the network device, the processor 701 analyzes a transition segment obtained after the transition segmentation is performed on the target video source according to the QoE evaluation value of each duration period, and obtains a plurality of quality-difference stable segments, where the method includes:
when the duration of the transition segment is greater than the duration period, judging whether the QoE evaluation value correspondingly obtained in each duration period in the transition segment meets a preset stability condition;
determining the video clip corresponding to the duration period preset with the preset stability condition as the quality difference stable clip;
and when the duration of the transition segment is less than or equal to the duration period, and the corresponding QoE evaluation value obtained in the duration period corresponding to the transition segment meets the preset stability condition, determining the transition segment as the quality difference stability segment.
Optionally, the network device, wherein the processor 701 calculates a quality of experience QoE evaluation value of each of the quality-stabilized clips at different playing parameters includes:
selecting a target quality difference stable segment in at least one quality difference stable segment in each transition segment; the difference value between the QoE evaluation value of the target quality difference stable segment and the average value of the QoE evaluation values of the transition segment is minimum;
and calculating the QoE evaluation value of each target quality difference stable segment under different playing parameters.
Optionally, in the network device, the processor 701 is further configured to:
and when the target video source is transmitted, marking the starting time point, the ending time point and/or the segment duration of each transition segment.
Optionally, in the network device, the processor 701 is further configured to:
identifying the poor quality stabilized segment while transmitting the target video source.
Another aspect of the embodiments of the present invention further provides a network device, as shown in fig. 8, including: a processor 801; and a memory 803 connected to the processor 801 through a bus interface 802, wherein the memory 803 is used for storing programs and data used by the processor 801 in executing operations, and the processor 801 calls and executes the programs and data stored in the memory 803.
The transceiver 804 is connected to the bus interface 802, and is configured to receive and transmit data under the control of the processor 801, and specifically, the processor 801 is configured to read a program in the memory 803, and execute the following processes: acquiring a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
and analyzing the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient to obtain a service perception evaluation result of the target video source.
Optionally, in the network device, the analyzing, by the processor 801, the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient includes:
and replacing the calculation coefficient in the service quality simplification algorithm with the service analysis coefficient corresponding to the quality difference stable segment to obtain the service perception evaluation result of the target video source.
In addition, the present invention also provides a computer-readable storage medium, on which a computer program is stored, where the program is executed by a processor to implement the steps in the video service awareness method as described in any one of the above.
Specifically, the computer-readable storage medium is applied to the terminal, and when the computer-readable storage medium is applied to the terminal, the execution steps in the method for reporting a smoke alarm are described in detail above, and are not described again here.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the transceiving method according to various embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
While the preferred embodiments of the present invention have been described, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (22)
1. A video service awareness method, comprising:
analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source;
calculating the QoE evaluation value of each quality difference stable segment in different playing parameters;
fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with preset analysis parameters for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment;
and transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient.
2. The video service sensing method according to claim 1, wherein the analyzing the quality parameter of the target video source to obtain a plurality of quality-difference-stable segments with stable quality parameters in the target video source comprises:
calculating a QoE evaluation value of each duration period through a model training method according to the quality parameters of the target video source in each duration period;
and analyzing the transition segment obtained after the transition segmentation of the target video source according to the QoE evaluation value of each time period to obtain a plurality of quality difference stable segments.
3. The video service awareness method according to claim 2, wherein calculating the QoE evaluation value for each duration period through a model training method according to the quality parameter of the target video source in each duration period comprises:
grading scenes corresponding to each quality parameter in the target video source;
and calculating QoE evaluation values of the target video source when the quality parameters are combined at different levels in each duration period by a model training method.
4. The video service sensing method of claim 3, wherein analyzing transition segments obtained after transition segmentation of the target video source according to the QoE evaluation value of each duration period to obtain a plurality of quality-difference-stabilized segments comprises:
when the duration of the transition segment is greater than the duration period, judging whether the QoE evaluation value correspondingly obtained in each duration period in the transition segment meets a preset stability condition;
determining the video clip corresponding to the duration period preset with the preset stability condition as the quality difference stable clip;
and when the duration of the transition segment is less than or equal to the duration period, and the corresponding QoE evaluation value obtained in the duration period corresponding to the transition segment meets the preset stability condition, determining the transition segment as the quality difference stability segment.
5. The video service awareness method according to any one of claims 2 to 4, wherein said calculating the QoE estimation value of each of the quality-stabilized clips at different playing parameters comprises:
selecting a target quality difference stable segment in at least one quality difference stable segment in each transition segment; the difference value between the QoE evaluation value of the target quality difference stable segment and the average value of the QoE evaluation values of the transition segment is minimum;
and calculating the QoE evaluation value of each target quality difference stable segment under different playing parameters.
6. The video traffic awareness method according to claim 2, wherein the method further comprises:
and when the target video source is transmitted, marking the starting time point, the ending time point and/or the segment duration of each transition segment.
7. The video service awareness method according to any one of claims 1 to 4, wherein said method further comprises:
identifying the poor quality stabilized segment while transmitting the target video source.
8. A video service awareness method, comprising:
acquiring a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
and analyzing the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient to obtain a service perception evaluation result of the target video source.
9. The video service sensing method according to claim 8, wherein performing an analysis on the service quality of each of the quality-difference-stabilized segments of the target video source according to the service analysis coefficients includes:
and replacing the calculation coefficient in the service quality simplification algorithm with the service analysis coefficient corresponding to the quality difference stable segment to obtain the service perception evaluation result of the target video source.
10. A video transmission device comprising a processor, wherein the processor is configured to:
analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source;
calculating the QoE evaluation value of each quality difference stable segment in different playing parameters;
fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with preset analysis parameters for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment;
and transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient.
11. The video transmission apparatus according to claim 10, wherein the processor analyzes the quality parameter of the target video source to obtain a plurality of quality-difference-stable segments with stable quality parameter in the target video source, and comprises:
calculating a QoE evaluation value of each duration period through a model training method according to the quality parameters of the target video source in each duration period;
and analyzing the transition segment obtained after the transition segmentation of the target video source according to the QoE evaluation value of each time period to obtain a plurality of quality difference stable segments.
12. The video transmission apparatus according to claim 11, wherein the processor calculates the QoE evaluation value for each duration period through a model training method according to the quality parameter of the target video source in each duration period, including:
grading scenes corresponding to each quality parameter in the target video source;
and calculating QoE evaluation values of the target video source when the quality parameters are combined at different levels in each duration period by a model training method.
13. The video transmission apparatus according to claim 12, wherein the processor analyzes transition segments obtained after transition segmentation of the target video source according to the QoE evaluation value for each duration period to obtain a plurality of quality-stabilized segments, including:
when the duration of the transition segment is greater than the duration period, judging whether the QoE evaluation value correspondingly obtained in each duration period in the transition segment meets a preset stability condition;
determining the video clip corresponding to the duration period preset with the preset stability condition as the quality difference stable clip;
and when the duration of the transition segment is less than or equal to the duration period, and the corresponding QoE evaluation value obtained in the duration period corresponding to the transition segment meets the preset stability condition, determining the transition segment as the quality difference stability segment.
14. The video transmission apparatus according to any one of claims 11 to 13, wherein the processor calculates a quality of experience QoE assessment value for each of the quality-stabilized segments at different playing parameters, including:
selecting a target quality difference stable segment in at least one quality difference stable segment in each transition segment; the difference value between the QoE evaluation value of the target quality difference stable segment and the average value of the QoE evaluation values of the transition segment is minimum;
and calculating the QoE evaluation value of each target quality difference stable segment under different playing parameters.
15. The video transmission device of claim 11, wherein the processor is further configured to:
and when the target video source is transmitted, marking the starting time point, the ending time point and/or the segment duration of each transition segment.
16. The video transmission device of any of claims 10 to 13, wherein the processor is further configured to:
identifying the poor quality stabilized segment while transmitting the target video source.
17. A video receiving device comprising a processor, wherein the processor is configured to:
acquiring a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
and analyzing the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient to obtain a service perception evaluation result of the target video source.
18. The video receiving device of claim 17, wherein the processor performs an analytic analysis on the service quality of each of the quality-stabilized segments of the target video source according to the service analytic coefficients, and the analytic analysis includes:
and replacing the calculation coefficient in the service quality simplification algorithm with the service analysis coefficient corresponding to the quality difference stable segment to obtain the service perception evaluation result of the target video source.
19. A video service awareness apparatus, comprising:
the analysis module is used for analyzing the quality parameters of a target video source to obtain a plurality of quality difference stable segments with stable quality parameters in the target video source;
the computing module is used for computing the QoE (quality of experience) evaluation value of each quality difference stable segment under different playing parameters;
the fitting module is used for fitting the QoE evaluation value of each quality difference stable segment under different playing parameters with preset analysis parameters for video service perception to obtain a service analysis coefficient for video service perception of each quality difference stable segment;
and the transmission module is used for transmitting the target video source, wherein the video segment corresponding to each quality difference stable segment in the target video source comprises the service analysis coefficient.
20. A video service awareness apparatus, comprising:
the acquisition module is used for acquiring a target video source; wherein the video clip corresponding to each of the quality difference stable clips in the target video source comprises the service analysis coefficient;
and the analysis module is used for analyzing and analyzing the service quality of each quality difference stable segment of the target video source according to the service analysis coefficient to obtain a service perception evaluation result of the target video source.
21. A network device comprising a processor, a memory, and a program stored on the memory and executable on the processor, the program, when executed by the processor, implementing the steps in the video service awareness method of any one of claims 1 to 7 or implementing the steps in the video service awareness method of any one of claims 8 to 9.
22. A readable storage medium, characterized in that the readable storage medium has stored thereon a program which, when being executed by a processor, carries out the steps of the video service awareness method according to one of the claims 1 to 7, or carries out the steps of the video service awareness method according to one of the claims 8 to 9.
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