CN112559309A - Method and device for adjusting page performance acquisition algorithm - Google Patents
Method and device for adjusting page performance acquisition algorithm Download PDFInfo
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Abstract
The disclosure relates to a method and a device for adjusting a page performance acquisition algorithm. The method comprises the following steps: recording a video in the process of loading a page by a browser; after the browser finishes loading the page, acquiring and calculating page performance indexes according to data reported by a page performance interface, wherein the calculating of the page performance indexes comprises the following steps: calculating the first screen time or calculating the white screen time; according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video; according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time; calculating the relative error of the page performance according to the calculated page performance index and the real page performance; and adjusting a page performance acquisition algorithm according to the relative error of the page performance. Among them, the present disclosure is an automated detection of the accuracy of the acquisition algorithm, avoiding a large number of repeated human costs.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for adjusting a page performance acquisition algorithm.
Background
At present, when a browser loads a page, the content in the visible area of the page is captured one by the browser, and when the page is loaded, the capturing is stopped. And then, manually analyzing the screenshot in the page loading process, determining real white screen time and real first screen time according to screenshot contents, comparing the time analyzed by the screenshot with the time calculated by the acquisition algorithm, calculating relative errors, and adjusting and optimizing the acquisition algorithm according to the relative errors.
However, certain subjective factors exist in the real white screen time and the real first screen time determined by manually analyzing the screenshot, and it is difficult to keep consistent judgment standards in each page. This easily causes the index data that the screenshot was analyzed to have certain error, and then influences the calculation of algorithm accuracy.
Disclosure of Invention
In order to overcome the problems in the related art, the embodiments of the present disclosure provide a method and an apparatus for adjusting a page performance acquisition algorithm. The technical scheme is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided a method for adjusting a page performance acquisition algorithm, including:
recording a video in the process of loading a page by a browser;
after the browser finishes loading the page, acquiring a performance index of the computed page according to data reported by a page performance interface, wherein the performance index of the computed page comprises the following steps: calculating the first screen time or calculating the white screen time;
according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video;
according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time;
calculating a page performance relative error according to the calculated page performance index and the real page performance;
and adjusting a page performance acquisition algorithm according to the page performance relative error.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the present disclosure provides a method for adjusting a page performance acquisition algorithm, including: recording a video in the process of loading a page by a browser; after the browser finishes loading the page, acquiring and calculating page performance indexes according to data reported by a page performance interface, wherein the calculating of the page performance indexes comprises the following steps: calculating the first screen time or calculating the white screen time; according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video; according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time; calculating the relative error of the page performance according to the calculated page performance index and the real page performance; and adjusting a page performance acquisition algorithm according to the relative error of the page performance. The accuracy of the automatic detection and acquisition algorithm is high, and a large amount of repeated labor cost is avoided; and by analyzing the similarity of each frame of the page loading video, the calculation modes of the real white screen time and the real first screen time of the page are determined, the judgment standard is consistent, errors caused by subjective factors can be reduced, and therefore the calculation of the accuracy of the page performance acquisition algorithm is improved.
In one embodiment, the obtaining the real white screen time according to the similarity of all the video frames includes:
arranging all video frames in a time positive sequence;
searching a first target video frame with the similarity being greater than 0 for the first time from front to back;
and the time point corresponding to the first target video frame is the real white screen time.
In an embodiment, the obtaining the real first screen time according to the similarity of all the video frames includes:
arranging all video frames in a time positive sequence;
searching a second target video frame from back to front, wherein the increasing trend of the second target video frame is towards the beginning of a steady trend;
and the time point corresponding to the second target video frame is the real first screen time.
In one embodiment, said finding a second target video frame whose increasing trend tends to a stationary start comprises:
searching a video frame which has the minimum time and simultaneously meets a preset condition as the second target video frame;
the preset conditions include:
the similarity difference between the current video frame and the last video frame is not greater than a first preset value;
and the similarity of the current video frame and the similarity of the previous video frame are not more than a second preset value.
According to a second aspect of the embodiments of the present disclosure, there is provided an adjusting apparatus for a page performance acquisition algorithm, including:
the recording module is used for recording a video in the process of loading the page by the browser;
a first obtaining module, configured to obtain, after the browser finishes loading a page, a performance index of the computed page according to data reported by a page performance interface, where the performance index of the computed page includes: calculating the first screen time or calculating the white screen time;
the first calculation module is used for calculating the similarity of each video frame relative to the last frame of the video according to the recorded video;
a second obtaining module, configured to obtain a real page performance index according to similarities of all video frames, where the real page performance index includes: real first screen time or real white screen time;
the second calculation module is used for calculating the relative error of the page performance according to the calculated page performance index and the real page performance;
and the adjusting module is used for adjusting the page performance acquisition algorithm according to the page performance relative error.
In one embodiment, the second obtaining module includes:
the first arrangement submodule is used for arranging all the video frames in a time positive sequence;
the first searching submodule is used for searching the first target video frame with the similarity being greater than 0 for the first time from front to back; and the time point corresponding to the first target video frame is the real white screen time.
In one embodiment, the second obtaining module includes:
the second arrangement submodule is used for arranging all the video frames according to a time positive sequence;
the second searching submodule is used for searching a second target video frame from back to front, wherein the increasing trend of the second target video frame is towards the beginning of a steady trend; and the time point corresponding to the second target video frame is the real first screen time.
In one embodiment, the second finding submodule includes: searching for a subunit;
the searching subunit is configured to search the video frame that has the minimum time and meets a preset condition as the second target video frame;
the preset conditions include:
the similarity difference between the current video frame and the last video frame is not greater than a first preset value;
and the similarity of the current video frame and the similarity of the previous video frame are not more than a second preset value.
According to a third aspect of the embodiments of the present disclosure, there is provided an adjusting device for a page performance acquisition algorithm, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
recording a video in the process of loading a page by a browser;
after the browser finishes loading the page, acquiring a performance index of the computed page according to data reported by a page performance interface, wherein the performance index of the computed page comprises the following steps: calculating the first screen time or calculating the white screen time;
according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video;
according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time;
calculating a page performance relative error according to the calculated page performance index and the real page performance;
and adjusting a page performance acquisition algorithm according to the page performance relative error.
According to a fourth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method of any one of the first aspects.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a flow diagram illustrating a method of adjusting a page performance acquisition algorithm, according to an example embodiment.
FIG. 2 is a flow diagram illustrating a method of adjusting a page performance collection algorithm, according to an example embodiment.
FIG. 3 is a flowchart illustrating a method of adjusting a page performance collection algorithm, according to an example embodiment.
FIG. 4 is a flowchart illustrating a method of adjusting a page performance acquisition algorithm, according to an example embodiment.
Fig. 5 is a block diagram illustrating an adjusting apparatus of a page performance acquisition algorithm according to an exemplary embodiment.
FIG. 6 is a block diagram illustrating a second obtaining module in the adjusting apparatus of the page performance collection algorithm according to an example embodiment.
Fig. 7 is a block diagram illustrating a second obtaining module in the adjusting apparatus of the page performance collecting algorithm according to an exemplary embodiment.
Fig. 8 is a block diagram illustrating a second finding submodule in the adjusting apparatus of the page performance collecting algorithm according to an exemplary embodiment.
Fig. 9 is a block diagram illustrating an adjusting apparatus 80 for a page performance collection algorithm according to an exemplary embodiment.
Fig. 10 is a block diagram illustrating an adjusting apparatus 90 for a page performance collection algorithm according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The indexes for measuring the page performance comprise a white screen time and a first screen time, and the two times are generally obtained by manual dotting with invasion of codes or calculation with no invasion of the codes. However, there is a certain error between the time calculated by any method and the real white screen time and the real first screen time in the page loading process. If the error of the acquired index data is large and the data is distorted, the significance of the acquired data is not large; and the error of the acquired index data is small, so that the real experience of a user can be presented, and the optimization of the page performance can be guided. Therefore, it is important to use the relative error of the index to determine the accuracy of the acquisition algorithm.
In a developer mode of the browser, when the browser loads a page, the content in the page visible area is captured one by the browser, and when the page loading is finished, the capture is stopped. It is generally verified that performance acquisition algorithm accuracy is dependent on these screenshots. The specific method comprises the following steps: manually analyzing the screenshot in the page loading process, determining real white screen time and real first screen time according to screenshot contents, comparing the time analyzed by the screenshot with the time calculated by the acquisition algorithm, calculating relative errors, and adjusting and optimizing the acquisition algorithm according to the relative errors.
The prior art described above has the following disadvantages:
1) the above scheme requires manual analysis of the screenshot data and calculation of the time error. If the errors of a plurality of pages need to be checked in batch, a large number of repeated behaviors exist, and more labor cost is needed;
2) according to the scheme, the real white screen time and the real first screen time are determined to have certain subjective factors through manual analysis of the screenshot, and the consistent judgment standard in each page is difficult to maintain. This easily causes the index data that the screenshot was analyzed to have certain error, and then influences the calculation of algorithm accuracy.
In order to solve the technical problem, the present disclosure provides an adjusting method for a page performance acquisition algorithm.
Fig. 1 is a flowchart illustrating an adjustment method of a page performance acquisition algorithm according to an exemplary embodiment, as shown in fig. 1, the method includes the following steps S101 to S103:
in step S101, a process of loading a page by a browser is recorded.
In step S102, after the browser finishes loading the page, obtaining a performance index of the computed page according to the data reported by the page performance interface, where the computing the performance index of the page includes: and calculating the first screen time or calculating the white screen time.
Specifically, a performance acquisition script can be accessed into the page; then, in the process of loading the page by the browser, the white screen algorithm and the first screen algorithm automatically calculate corresponding white screen calculation time and first screen calculation time, and then the two index data are reported through a performance interface, so that the first screen calculation time (t2_ calculated) and the white screen calculation time (t1_ calculated) can be obtained.
In step S103, a similarity of each video frame with respect to the last frame of the video is calculated according to the recorded video.
Specifically, the open source tool library is responsible for recording the page loading process of the browser into a video;
taking the last frame of the video as a target image, and calculating the similarity of each video frame relative to the target image; for example: the video starting frame has no content, and the similarity is 0; the video end frame is consistent with the target image, and the similarity is 100%.
In step S104, according to the similarity of all video frames, a real page performance index is obtained, where the real page performance index includes: real first screen time or real white screen time.
After the similarities of all the video frames are obtained, the real first screen time (t2_ real) and the real white screen time (t1_ real) are found based on the similarities of the video frames.
The method comprises the steps of calculating the real first screen time and the real white screen time, analyzing the similarity of all video frames, finding out the real first screen time point and the white screen time point of a page by utilizing the difference between the similarity of the video frames and the target similarity and the difference between the similarity of the video frames and the similarity of the previous video frame, and determining the calculation mode of the real white screen time and the real first screen time of the page and the consistent judgment standard due to the fact that the similarity of each frame of a page loading video is analyzed, so that errors caused by subjective factors can be reduced.
In step S105, a page performance relative error is calculated based on the calculated page performance index and the real page performance.
Specifically, the white screen time relative error is calculated from the calculated white screen time and the actual white screen time (t1_ relative _ error), and the first screen time relative error is calculated from the calculated first screen time and the actual first screen time (t2_ relative _ error).
Wherein, t1_ relative _ error is | t1_ calculated-t 1_ real |/t1_ real 100%;
t2_relative_error＝|t2_computed–t2_real|/t2_real*100％。
in step S106, the page performance acquisition algorithm is adjusted according to the page performance relative error.
After the relative error of the page performance is obtained, the page performance acquisition algorithm can be adjusted based on the relative error of the page performance, so that the accuracy of the page performance acquisition algorithm is higher.
In the disclosure, the white screen time and the first screen time of a plurality of pages are automatically collected, including real index data and calculation index data. And comparing the real index data with the calculated index data, calculating a relative error, and further verifying the accuracy of the performance acquisition algorithm.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: the present disclosure provides a method for adjusting a page performance acquisition algorithm, including: recording a video in the process of loading a page by a browser; after the browser finishes loading the page, acquiring and calculating page performance indexes according to data reported by a page performance interface, wherein the calculating of the page performance indexes comprises the following steps: calculating the first screen time or calculating the white screen time; according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video; according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time; calculating the relative error of the page performance according to the calculated page performance index and the real page performance; and adjusting a page performance acquisition algorithm according to the relative error of the page performance. The accuracy of the automatic detection and acquisition algorithm is high, and a large amount of repeated labor cost is avoided; and by analyzing the similarity of each frame of the page loading video, the calculation modes of the real white screen time and the real first screen time of the page are determined, the judgment standard is consistent, errors caused by subjective factors can be reduced, and therefore the calculation of the accuracy of the page performance acquisition algorithm is improved.
In one embodiment, as shown in fig. 2, the above step of obtaining the real white screen time according to the similarity of all video frames includes the following sub-steps S1041-S1042:
in step S1041, all video frames are arranged in chronological order.
In this step, the video frames are sequentially arranged according to the order of video frame acquisition.
In step S1042, from front to back, a first target video frame whose similarity is greater than 0 for the first time is searched; the time point corresponding to the first target video frame is the real white screen time.
After the video frames are sequentially arranged according to the acquisition time, the similarity of the calculated video frames is analyzed one by one, and the time point corresponding to the video frame with the similarity being greater than 0 for the first time is found to be the real white screen time.
The white screen time refers to a time when the browser starts displaying the content. Therefore, the white screen time of the page can be obtained only by knowing the time point when the browser starts to display the content, namely the white screen ending time point of the page.
In the present disclosure, the last frame of a video is used as a target image, and the similarity of each video frame with respect to the target image is calculated, for example: the video starting frame has no content, and the similarity is 0; the video end frame is consistent with the target image, and the similarity is 100%. And then arranging all the video frames according to a time positive sequence, sequentially checking the similarity of the video frames from front to back, searching a first target video frame with the similarity being greater than 0 for the first time, and determining the time point corresponding to the searched first target video frame as the real white screen time of the page.
The calculation mode of the real white screen time of the page is determined by analyzing the similarity of each frame of the page loading video, so that errors caused by subjective factors can be reduced based on consistent judgment standards.
In an embodiment, as shown in fig. 3, the step of obtaining the real first screen time according to the similarity of all video frames includes the following sub-steps S1043-S1044:
in step S1043, all video frames are arranged in chronological order.
In this step, the video frames are sequentially arranged according to the order of video frame acquisition.
In step S1044, a second target video frame with a trend of increasing steadily is searched from back to front, and a time point corresponding to the second target video frame is the real first screen time.
Wherein finding a second target video frame with an increasing trend towards a stationary start comprises:
searching a video frame which has the minimum time and simultaneously meets the preset condition as a second target video frame;
the preset conditions include:
the similarity difference between the current video frame and the last video frame is not greater than a first preset value; and the similarity of the current video frame and the similarity of the previous video frame are not more than a second preset value.
The first screen time refers to the time from the start of opening the website by the user to the completion of rendering the first screen content of the browser. For the user experience, the first screen time is an important experience factor of the user for a website. Generally, if the first screen time of a website is excellent within 5 seconds, the first screen time is acceptable within 10 seconds, and more than 10 seconds are not tolerable. The user may choose to refresh the page or leave immediately for a first screen time of more than 10 seconds. Therefore, it is also important to improve the accuracy of the first screen time algorithm.
In the present disclosure, the last frame of a video is used as a target image, and the similarity of each video frame with respect to the target image is calculated, for example: the video starting frame has no content, and the similarity is 0; the video end frame is consistent with the target image, and the similarity is 100%. Arranging all video frames in a time forward sequence, taking the similarity of the video frame of the last frame as a target similarity, sequentially checking the similarity of the video frames from back to front, and searching for the video frame which has the minimum time and simultaneously meets the following two conditions (i: the similarity of the current video frame and the target similarity are not more than a first preset value, such as 10; ii: the similarity of the current video frame and the previous video frame are not more than a second preset value, such as 3), wherein the video frame is the start of the increasing trend tending to be stable, and the time point corresponding to the found video frame is the real first screen time of the page.
The calculation mode of the real first screen time of the page is determined by analyzing the similarity of each frame of the page loading video, so that errors caused by subjective factors can be reduced based on consistent judgment standards.
The technical means of the present disclosure will be further described below by way of specific embodiments.
Fig. 4 is a flowchart illustrating a method for adjusting a page performance acquisition algorithm according to an exemplary embodiment, in order to automatically calculate a white screen time relative error and a first screen time relative error, a plug-in (check-performance) for a source-oriented tool library (statespeed. io) is developed, as shown in fig. 4, the method includes the following steps S201 to S206:
in step S201, a plurality of sample page links are read.
In step S202, an open source tool library (io) is started.
In step S203, the open source tool library enters a page loading processing flow.
The page loading processing flow of the open source tool library in step S203 is the dashed box module in fig. 4, and mainly includes three parts:
1. the browser loads a page and runs a script flow, specifically:
in step S2031, the browser is started;
in step S2032, the browser starts accessing the page URL;
in step S2033, a js script is run to analyze the page data;
in step S2034, the browser is closed.
In the step, a page access performance acquisition script is mainly used for acquiring the white screen calculation time and the first screen calculation time; in the process of loading the page by the browser, the white screen algorithm and the first screen algorithm can automatically calculate corresponding white screen time and first screen time; and reporting the two index data through a performance interface.
2. The process of the loading process of the video software recording page comprises the following specific steps:
in step S2035, video recording software is started;
in step S2036, the video recording is stopped;
in step S2037, the similarity of all video frames is calculated.
In the step, mainly in order to obtain real white screen time and real first screen time, recording the process of loading the page by the browser into a video; (open source toolkit responsibility); and taking the last frame of the video as a target image, and calculating the similarity of each video frame relative to the target image. For example: the video starting frame has no content, and the similarity is 0; the video end frame is consistent with the target image, and the similarity is 100%; (open source toolkit responsibility); and finding out a white screen time point and a first screen time point by utilizing the similarity of all the video frames. (self-research plug-in responsibility).
3. All the analysis data are summarized and provided for other plug-ins to use, specifically:
in step S2038, the data is collectively supplied to other plug-ins for use.
Other plug-ins may utilize the data to determine the accuracy of the algorithm.
After the loading processing of each sample page is completed, acquiring the white screen time and the first screen time of each page:
in step S204, analyzing data reported by the page performance interface, and obtaining a calculated white screen time (t1_ calculated) and a calculated first screen time (t2_ calculated);
in step S204, the similarity of all video frames is obtained, and the real white screen time (t1_ real) and the real first screen time (t2_ real) are analyzed:
in step S205, the manner of finding the real white screen time and the real first screen time according to the similarity of the video frames is as follows:
1. real white screen time:
a) arranging all video frames in a time positive sequence;
b) sequentially checking the similarity of the video frames from front to back, and searching the video frames with the similarity being greater than 0 for the first time;
c) the time point corresponding to the found video frame is the real white screen time of the page;
2. real first screen time:
a) arranging all video frames in a time positive sequence;
b) taking the similarity of the video frame of the last frame as the target similarity;
c) sequentially checking the similarity of the video frames from back to front, and searching the video frame which has the minimum time and simultaneously meets the following two conditions, wherein the video frame is the beginning of the gradual increase trend which tends to be stable, and the conditions are as follows:
i. the difference between the similarity of the current video frame and the target similarity is not more than 10;
the similarity of the current video frame and the similarity of the previous video frame are not more than 3;
d) and the time point corresponding to the found video frame is the real first screen time of the page.
In step S206, the white screen time relative error (t1_ relative _ error) and the first screen time relative error (t2_ relative _ error) are calculated using the index data acquired in the two ways:
a)t1_relative_error＝|t1_computed–t1_real|/t1_real*100％
b)t2_relative_error＝|t2_computed–t2_real|/t2_real*100％
in step S207, the basic information of all sample pages and the calculated relative error are summarized and written into a table file.
As can be seen from the above analysis, in the present disclosure, the white screen time and the first screen time of a plurality of pages, including the real index data and the calculated index data, are automatically collected. And comparing the real index data with the calculated index data, calculating a relative error, and further verifying the accuracy of the performance acquisition algorithm. And in the real first screen time, analyzing the similarity of all the video frames, and finding out the real first screen time point of the page by utilizing the difference between the similarity of the video frames and the target similarity and the difference between the similarity of the video frames and the similarity of the previous video frame.
Through above-mentioned scheme, the main advantage of this disclosure is as follows:
1) the invention is the accuracy of the automatic detection and acquisition algorithm, and avoids a large amount of repeated labor cost;
2) the data result is generated into a report form, so that the analysis is convenient and rapid, and the experimental data of multiple samples also provides basis and reference for algorithm optimization;
3) by analyzing the similarity of each frame of the page loading video, the calculation modes of the real white screen time and the real first screen time of the page are determined, the consistent judgment standard is adopted, the errors caused by subjective factors can be reduced,
according to the experimental result of the disclosure, the first screen time algorithm in the performance acquisition script is adjusted and optimized. Aiming at the same 50 sample pages, under the same network and equipment environment, the average accuracy of the first screen time algorithm before and after adjustment is improved from 78% to 90%.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
Fig. 5 is a block diagram illustrating an adjusting apparatus of a page performance collection algorithm according to an exemplary embodiment. As shown in fig. 5, the adjusting device of the page performance acquisition algorithm includes:
the recording module 11 is used for recording a video in the process of loading a page by a browser;
the first obtaining module 12 is configured to obtain, after the browser finishes loading the page, a performance index of the computed page according to data reported by the page performance interface, where the performance index of the computed page includes: calculating the first screen time or calculating the white screen time;
the first calculating module 13 is configured to calculate, according to the recorded video, a similarity of each video frame with respect to a last frame of the video;
a second obtaining module 14, configured to obtain a real page performance index according to the similarity of all video frames, where the real page performance index includes: real first screen time or real white screen time;
the second calculating module 15 is configured to calculate a page performance relative error according to the calculated page performance index and the real page performance;
and the adjusting module 16 is configured to adjust a page performance acquisition algorithm according to the page performance relative error.
In one embodiment, as shown in fig. 6, the second obtaining module 14 includes:
a first arranging submodule 141 for arranging all the video frames in a time forward order;
the first finding submodule 142 is configured to find, from front to back, a first target video frame of which the similarity is greater than 0 for the first time; and the time point corresponding to the first target video frame is the real white screen time.
In one embodiment, as shown in fig. 7, the second obtaining module 14 includes:
a second arranging sub-module 143 for arranging all the video frames in a time positive sequence;
the second finding submodule 144 is configured to find, from back to front, a second target video frame at which the increasing trend tends to be steady; and the time point corresponding to the second target video frame is the real first screen time.
In one embodiment, as shown in fig. 8, the second finding submodule 144 includes: find subunit 1441;
a searching subunit 1441, configured to search, as the second target video frame, a video frame that is the minimum time and meets a preset condition at the same time;
the preset conditions include:
the similarity difference between the current video frame and the last video frame is not greater than a first preset value;
and the similarity of the current video frame and the similarity of the previous video frame are not more than a second preset value.
According to a third aspect of the embodiments of the present disclosure, there is provided an adjusting device for a page performance acquisition algorithm, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
recording a video in the process of loading a page by a browser;
after the browser finishes loading the page, acquiring a performance index of the computed page according to data reported by a page performance interface, wherein the performance index of the computed page comprises the following steps: calculating the first screen time or calculating the white screen time;
according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video;
according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time;
calculating a page performance relative error according to the calculated page performance index and the real page performance;
and adjusting a page performance acquisition algorithm according to the page performance relative error.
The processor may be further configured to:
the acquiring the real white screen time according to the similarity of all the video frames comprises the following steps:
arranging all video frames in a time positive sequence;
searching a first target video frame with the similarity being greater than 0 for the first time from front to back;
and the time point corresponding to the first target video frame is the real white screen time.
The acquiring of the real first screen time according to the similarity of all the video frames includes:
arranging all video frames in a time positive sequence;
searching a second target video frame from back to front, wherein the increasing trend of the second target video frame is towards the beginning of a steady trend;
and the time point corresponding to the second target video frame is the real first screen time.
The finding of the second target video frame with the increasing trend tending to the beginning of the plateau comprises:
searching a video frame which has the minimum time and simultaneously meets a preset condition as the second target video frame;
the preset conditions include:
the similarity difference between the current video frame and the last video frame is not greater than a first preset value;
and the similarity of the current video frame and the similarity of the previous video frame are not more than a second preset value.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 9 is a block diagram illustrating an adjusting apparatus 80 for a page performance collection algorithm, which is suitable for a terminal device according to an exemplary embodiment. For example, the apparatus 80 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
The apparatus 80 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operation of the device 80, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the apparatus 80. Examples of such data include instructions for any application or method operating on the device 80, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 806 provides power to the various components of the device 80. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 80.
The multimedia component 808 includes a screen that provides an output interface between the device 80 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 80 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the apparatus 80 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the device 80. For example, the sensor assembly 814 may detect the open/closed status of the device 80, the relative positioning of the components, such as a display and keypad of the device 80, the change in position of the device 80 or a component of the device 80, the presence or absence of user contact with the device 80, the orientation or acceleration/deceleration of the device 80, and the change in temperature of the device 80. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate wired or wireless communication between the apparatus 80 and other devices. The device 80 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 80 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 804 comprising instructions, executable by the processor 820 of the apparatus 80 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
A non-transitory computer readable storage medium, wherein instructions of the storage medium, when executed by a processor of an apparatus 80, enable the apparatus 80 to perform the above-mentioned method for adjusting a page performance acquisition algorithm, the method comprising:
recording a video in the process of loading a page by a browser;
after the browser finishes loading the page, acquiring a performance index of the computed page according to data reported by a page performance interface, wherein the performance index of the computed page comprises the following steps: calculating the first screen time or calculating the white screen time;
according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video;
according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time;
calculating a page performance relative error according to the calculated page performance index and the real page performance;
and adjusting a page performance acquisition algorithm according to the page performance relative error.
In one embodiment, the obtaining the real white screen time according to the similarity of all the video frames includes:
arranging all video frames in a time positive sequence;
searching a first target video frame with the similarity being greater than 0 for the first time from front to back;
and the time point corresponding to the first target video frame is the real white screen time.
In an embodiment, the obtaining the real first screen time according to the similarity of all the video frames includes:
arranging all video frames in a time positive sequence;
searching a second target video frame from back to front, wherein the increasing trend of the second target video frame is towards the beginning of a steady trend;
and the time point corresponding to the second target video frame is the real first screen time.
In one embodiment, said finding a second target video frame whose increasing trend tends to a stationary start comprises:
searching a video frame which has the minimum time and simultaneously meets a preset condition as the second target video frame;
the preset conditions include:
the similarity difference between the current video frame and the last video frame is not greater than a first preset value;
and the similarity of the current video frame and the similarity of the previous video frame are not more than a second preset value.
Fig. 10 is a block diagram illustrating an adjusting apparatus 90 for a page performance collection algorithm according to an exemplary embodiment. For example, the apparatus 90 may be provided as a server. The apparatus 90 comprises a processing component 902 further comprising one or more processors, and memory resources, represented by memory 903, for storing instructions, e.g., applications, executable by the processing component 902. The application programs stored in memory 903 may include one or more modules that each correspond to a set of instructions. Further, the processing component 902 is configured to execute instructions to perform the above-described methods.
The apparatus 90 may also include a power component 906 configured to perform power management of the apparatus 90, a wired or wireless network interface 905 configured to connect the apparatus 90 to a network, and an input/output (I/O) interface 908. The apparatus 90 may operate based on an operating system stored in the memory 903, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
A non-transitory computer readable storage medium, wherein instructions, when executed by a processor of an apparatus 90, enable the apparatus 90 to perform the above-mentioned method for adjusting a page performance acquisition algorithm, the method comprising:
recording a video in the process of loading a page by a browser;
after the browser finishes loading the page, acquiring a performance index of the computed page according to data reported by a page performance interface, wherein the performance index of the computed page comprises the following steps: calculating the first screen time or calculating the white screen time;
according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video;
according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time;
calculating a page performance relative error according to the calculated page performance index and the real page performance;
and adjusting a page performance acquisition algorithm according to the page performance relative error.
In one embodiment, the obtaining the real white screen time according to the similarity of all the video frames includes:
arranging all video frames in a time positive sequence;
searching a first target video frame with the similarity being greater than 0 for the first time from front to back;
and the time point corresponding to the first target video frame is the real white screen time.
In an embodiment, the obtaining the real first screen time according to the similarity of all the video frames includes:
arranging all video frames in a time positive sequence;
searching a second target video frame from back to front, wherein the increasing trend of the second target video frame is towards the beginning of a steady trend;
and the time point corresponding to the second target video frame is the real first screen time.
In one embodiment, said finding a second target video frame whose increasing trend tends to a stationary start comprises:
searching a video frame which has the minimum time and simultaneously meets a preset condition as the second target video frame;
the preset conditions include:
the similarity difference between the current video frame and the last video frame is not greater than a first preset value;
and the similarity of the current video frame and the similarity of the previous video frame are not more than a second preset value.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for adjusting a page performance acquisition algorithm is characterized by comprising the following steps:
recording a video in the process of loading a page by a browser;
after the browser finishes loading the page, acquiring a performance index of the computed page according to data reported by a page performance interface, wherein the performance index of the computed page comprises the following steps: calculating the first screen time or calculating the white screen time;
according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video;
according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time;
calculating a page performance relative error according to the calculated page performance index and the real page performance;
and adjusting a page performance acquisition algorithm according to the page performance relative error.
2. The method according to claim 1, wherein the obtaining the real white screen time according to the similarity of all video frames comprises:
arranging all video frames in a time positive sequence;
searching a first target video frame with the similarity being greater than 0 for the first time from front to back;
and the time point corresponding to the first target video frame is the real white screen time.
3. The method according to claim 1, wherein the obtaining the real first screen time according to the similarity of all video frames comprises:
arranging all video frames in a time positive sequence;
searching a second target video frame from back to front, wherein the increasing trend of the second target video frame is towards the beginning of a steady trend;
and the time point corresponding to the second target video frame is the real first screen time.
4. The method of claim 3, wherein finding the second target video frame with an increasing trend toward a stationary beginning comprises:
searching a video frame which has the minimum time and simultaneously meets a preset condition as the second target video frame;
the preset conditions include:
the similarity difference between the current video frame and the last video frame is not greater than a first preset value;
and the similarity of the current video frame and the similarity of the previous video frame are not more than a second preset value.
5. An adjusting device for a page performance acquisition algorithm, comprising:
the recording module is used for recording a video in the process of loading the page by the browser;
a first obtaining module, configured to obtain, after the browser finishes loading a page, a performance index of the computed page according to data reported by a page performance interface, where the performance index of the computed page includes: calculating the first screen time or calculating the white screen time;
the first calculation module is used for calculating the similarity of each video frame relative to the last frame of the video according to the recorded video;
a second obtaining module, configured to obtain a real page performance index according to similarities of all video frames, where the real page performance index includes: real first screen time or real white screen time;
the second calculation module is used for calculating the relative error of the page performance according to the calculated page performance index and the real page performance;
and the adjusting module is used for adjusting the page performance acquisition algorithm according to the page performance relative error.
6. The apparatus of claim 5, wherein the second obtaining module comprises:
the first arrangement submodule is used for arranging all the video frames in a time positive sequence;
the first searching submodule is used for searching the first target video frame with the similarity being greater than 0 for the first time from front to back; and the time point corresponding to the first target video frame is the real white screen time.
7. The apparatus of claim 5, wherein the second obtaining module comprises:
the second arrangement submodule is used for arranging all the video frames according to a time positive sequence;
the second searching submodule is used for searching a second target video frame from back to front, wherein the increasing trend of the second target video frame is towards the beginning of a steady trend; and the time point corresponding to the second target video frame is the real first screen time.
8. The apparatus of claim 7, wherein the second search submodule comprises: searching for a subunit;
the searching subunit is configured to search the video frame that has the minimum time and meets a preset condition as the second target video frame;
the preset conditions include:
the similarity difference between the current video frame and the last video frame is not greater than a first preset value;
and the similarity of the current video frame and the similarity of the previous video frame are not more than a second preset value.
9. An adjusting device for a page performance acquisition algorithm, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
recording a video in the process of loading a page by a browser;
after the browser finishes loading the page, acquiring a performance index of the computed page according to data reported by a page performance interface, wherein the performance index of the computed page comprises the following steps: calculating the first screen time or calculating the white screen time;
according to the recorded video, calculating the similarity of each video frame relative to the last frame of the video;
according to the similarity of all video frames, acquiring a real page performance index, wherein the real page performance index comprises the following steps: real first screen time or real white screen time;
calculating a page performance relative error according to the calculated page performance index and the real page performance;
and adjusting a page performance acquisition algorithm according to the page performance relative error.
10. A computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, carry out the steps of the method according to any one of claims 1 to 4.
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