CN111565335B - Video quality evaluation method and device, computer equipment and storage medium - Google Patents
Video quality evaluation method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN111565335B CN111565335B CN202010484162.2A CN202010484162A CN111565335B CN 111565335 B CN111565335 B CN 111565335B CN 202010484162 A CN202010484162 A CN 202010484162A CN 111565335 B CN111565335 B CN 111565335B
- Authority
- CN
- China
- Prior art keywords
- video
- time
- dragging
- user
- time point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000013441 quality evaluation Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000011156 evaluation Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 12
- 230000001186 cumulative effect Effects 0.000 claims description 9
- 230000006399 behavior Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
Abstract
The embodiment of the disclosure provides a video quality evaluation method, a video quality evaluation device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring the starting time point and the closing time point of the past when each user watches a certain video, and the dragging starting time point and the dragging ending time point of the past when the user watches the video each time; determining each user dragging time length based on the acquired data; adding the dragging time lengths of each user to obtain the accumulated dragging time length of each user to the video; and obtaining the quality score of each user for the video according to the accumulated dragging time of each user for the video and the total playing time of the video. According to the video quality evaluation method and device, the accumulated time length of dragging the video progress bar when each user watches a certain video is counted, and then the quality scores of the video of each user are obtained by combining the accumulated time length with the total playing time length of the video, so that the quality of the video can be accurately measured.
Description
Technical Field
The present disclosure relates to the field of network technologies, and in particular, to a video quality evaluation method, a video quality evaluation device, a computer device, and a computer-readable storage medium.
Background
The network video refers to an online video playing service provided by a video website, and mainly utilizes video files in a streaming media format, including various video programs, news and the like.
At present, the quality of a network video is generally judged by taking indexes such as the number of watched videos, the number of praise videos, the number of bad reviews and the like as evaluation criteria. However, many people find the video to be disfavored or not bad, so that the quality of the video cannot be accurately measured.
Therefore, it is an urgent problem to provide a scheme for accurately measuring video quality.
Disclosure of Invention
The present disclosure has been made to at least partially solve the technical problems occurring in the prior art.
According to an aspect of the embodiments of the present disclosure, there is provided a video quality evaluation method, including:
acquiring the starting time point and the closing time point of the past when each user watches a certain video, and the dragging starting time point and the dragging ending time point of the past when the user watches the video each time;
determining the time length of each user dragging according to the starting time point and the closing time point of each time when each user watches a certain video, and the dragging starting time point and the dragging ending time point of each time when the user watches the video each time;
adding the dragging time lengths of each user to obtain the accumulated dragging time length of each user to the video; and the number of the first and second groups,
and obtaining the quality score of each user for the video according to the accumulated dragging time of each user for the video and the total playing time of the video.
Optionally, acquiring a starting time point and a closing time point of each user watching a certain video includes:
if the user watches the video for the first time, recording the starting time point of watching the video for the first time as a preset initial value, and recording the closing time point of watching the video for the second time as the moment of closing the video for the first time; and the number of the first and second groups,
if the user does not watch the video for the first time, recording the starting time point of watching the video for the first time as a closing time point with the latest time in the closing time points of the previous times, and recording the closing time point of watching the video for the second time as the moment of closing the video for the current time;
acquiring the previous dragging start time point and the dragging end time point of the user watching the video each time, wherein the steps comprise:
respectively recording each dragging start time point of the user watching the video each time as each dragging video start time, and respectively recording each dragging end time point of the user watching the video each time as each dragging video end time;
wherein the time corresponds to the actual playing progress of the video.
Optionally, determining a time length of each user dragging each time according to a previous starting time point and a previous closing time point of each user watching a certain video, and a previous dragging starting time point and a dragging ending time point of each user watching the video each time, includes:
if the starting time point of the user watching the video is later than the closing time point, marking the dragging time of the user watching the video at this time as 0;
if the dragging starting time point of a certain time when a user watches the video at a certain time is earlier than the starting time point when the user watches the video at the current time, the dragging time length of the current time is the difference between the end time point of the current dragging and the starting time point; and the number of the first and second groups,
if the starting time point of the dragging of the certain time when the user watches the video at a certain time is not earlier than the starting time point when the user watches the video at this time, the dragging time length of the time is the difference between the ending time point of the dragging at this time and the starting time point of the dragging.
Optionally, obtaining a quality score of each user for the video according to the accumulated dragging time of each user for the video and the total playing time of the video, including:
the quality score of each user for the video is equal to the cumulative drag duration of each user for the video divided by the total play duration of the video.
According to another aspect of the embodiments of the present disclosure, there is provided a video quality evaluation apparatus, the apparatus including:
the acquisition module is arranged for acquiring the starting time point and the closing time point of the calendar of watching a certain video by each user, and the dragging starting time point and the dragging ending time point of the calendar of watching the video by the user each time;
the determining module is set to determine the dragging time length of each user every time according to the starting time point and the closing time point of each time when each user watches a certain video and the dragging starting time point and the dragging ending time point of each time when the user watches the video every time;
the superposition module is set to add the dragging time lengths of each user to obtain the accumulated dragging time length of each user to the video; and the number of the first and second groups,
and the evaluation module is set to obtain the quality score of each user for the video according to the accumulated dragging time of each user for the video and the total playing time of the video.
Optionally, the obtaining module includes:
the first acquisition unit is set to record the starting time point of watching the video for the first time as a preset initial value and record the closing time point of watching the video for the second time as the moment of closing the video for the first time if a user watches the video for the first time; if the user does not watch the video for the first time, recording the starting time point of watching the video for the first time as a closing time point with the latest time in the closing time points of the previous times, and recording the closing time point of watching the video for the second time as the moment of closing the video for the current time; and the number of the first and second groups,
a second obtaining unit, configured to record each dragging start time point when the user watches the video each time as each dragging video start time, and record each dragging end time point when the user watches the video each dragging video end time;
wherein the time corresponds to the actual playing progress of the video.
Optionally, the determining module is specifically configured to:
if the starting time point of the user watching the video is later than the closing time point, marking the dragging time of the user watching the video at this time as 0;
if the dragging starting time point of a certain time when a user watches the video at a certain time is earlier than the starting time point when the user watches the video at the current time, the dragging time length of the current time is the difference between the end time point of the current dragging and the starting time point; and the number of the first and second groups,
if the starting time point of the dragging of the certain time when the user watches the video at a certain time is not earlier than the starting time point when the user watches the video at this time, the dragging time length of the time is the difference between the ending time point of the dragging at this time and the starting time point of the dragging.
Optionally, the evaluation module is specifically configured to:
the quality score of each user for the video is equal to the cumulative drag duration of each user for the video divided by the total play duration of the video.
According to still another aspect of the embodiments of the present disclosure, there is provided a computer device including a memory in which a computer program is stored and a processor that executes the aforementioned video quality evaluation method when the processor runs the computer program stored in the memory.
According to still another aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the processor executes the aforementioned video quality evaluation method.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
according to the video quality evaluation method provided by the embodiment of the disclosure, the accumulated time length for dragging the video progress bar when each user watches a certain video is counted, and then the quality score of each user on the video is obtained by combining the accumulated time length with the total playing time length of the video, so that the quality of the video can be accurately measured.
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the disclosure. The objectives and other advantages of the disclosure may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosed embodiments and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the example serve to explain the principles of the disclosure and not to limit the disclosure.
Fig. 1 is a schematic flow chart of a video quality evaluation method according to an embodiment of the present disclosure;
fig. 2 is a block diagram of a video quality evaluation apparatus according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, specific embodiments of the present disclosure are described below in detail with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order; also, the embodiments and features of the embodiments in the present disclosure may be arbitrarily combined with each other without conflict.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of explanation of the present disclosure, and have no specific meaning in themselves. Thus, "module", "component" or "unit" may be used mixedly.
Fig. 1 is a schematic flow chart of a video quality evaluation method according to an embodiment of the present disclosure. As shown in fig. 1, the method includes the following steps S101 to S104.
S101, acquiring a calendar starting time point and a closing time point of each user watching a certain video, and a calendar dragging starting time point and a dragging ending time point of each user watching the video;
s102, determining each user dragging time length according to a previous starting time point and a closing time point of each user watching a certain video, and a previous dragging starting time point and a dragging ending time point of each user watching the video;
s103, adding the dragging time lengths of each user to obtain the accumulated dragging time length of each user to the video;
and S104, obtaining the quality score of each user for the video according to the accumulated dragging time of each user for the video and the total playing time of the video.
In the embodiment of the disclosure, the accumulated time for dragging the video progress bar when each user watches a certain video is counted, and then the quality score of each user on the video is obtained by combining the accumulated time with the total playing time of the video, so that the quality of the video can be measured more accurately.
In one embodiment, in step S101, the past starting time point and closing time point of each user watching a certain video are obtained, including the following steps S101-1 and S101-2.
S101-1, if a user watches the video for the first time, recording the starting time point of watching the video for the first time as a preset initial value (for example, 00:00:00), and recording the closing time point of watching the video for the second time as the moment of closing the video for the first time;
s101-2, if the user does not watch the video for the first time, recording the starting time point of watching the video for the first time as the closing time point with the latest time in the closing time points of the previous time, and recording the closing time point of watching the video for the second time as the time of closing the video for the current time.
Wherein the time corresponds to an actual playing progress of the video. For example, when the video is closed this time, the actual playing progress of the video is displayed as 00:15:20, and the time when the video is closed this time is 00:15: 20.
In the embodiment of the present disclosure, the above setting of the "start time point" is to delete the time length that the user repeatedly watches, because when the user drags the progress bar to skip some repeated portions, the user does not like to watch the portion of the video but watches the portion of the video, so that the time length that the user repeatedly watches has no meaning for subsequently calculating the quality score of the video.
In one embodiment, in step S101, obtaining the previous dragging start time point and the dragging end time point of each video watched by the user includes the following steps S101-3:
s101-3, respectively recording the dragging start time points of the video watched by the user each time as the dragging video start time, and respectively recording the dragging end time points of the video watched by the user each time as the dragging video end time.
Wherein the time corresponds to an actual playing progress of the video. For example, the actual playing progress of the video corresponding to the starting time of the video dragged this time is 00:00:10, and the starting time of the video dragged this time is 00:00: 10; the actual playing progress of the video corresponding to the closing time of the dragged video is 00:00:20, and the ending time of the dragged video is 00:00: 20.
In one embodiment, step S102 includes the following steps S102-1 to S102-3.
S102-1, if the starting time point of the user watching the video is later than the closing time point, recording the dragging time of the user watching the video at this time as 0;
s102-2, if the dragging start time point of a certain time when a user watches the video at a certain time is earlier than the start time point when the user watches the video at this time, the dragging time length of the time is the difference between the end time point of the dragging at the time and the start time point, and if the difference value is less than 0, the difference value is marked as 0;
s102-3, if the dragging start time point of a certain time when the user watches the video at a certain time is not earlier than the start time point when the user watches the video at this time, the dragging time length at this time is the difference between the dragging end time point and the dragging start time point at this time, and if the difference value is less than 0, the difference value is marked as 0.
In the embodiment of the present disclosure, through the steps S102-1 and S102-2, when the time length of each user dragging is calculated, the part of the time length that the user repeatedly watches is deleted, so that the quality score of the video obtained subsequently is more accurate.
In one embodiment, step S104 is specifically:
the quality score of each user for the video is equal to the cumulative drag duration of each user for the video divided by the total play duration of the video.
In the embodiment of the disclosure, the accumulated dragging time of each user to a certain video is divided by the total playing time of the video to obtain the quality score of each user to the video, the calculation mode is simple, and the obtained quality score is closer to the actual quality of the video.
According to the video quality evaluation method provided by the embodiment of the disclosure, the quality scores of the video of each user watching the video are obtained by collecting and analyzing the behavior of the user dragging the video progress bar, so that the quality of the video can be measured accurately, and the evaluation result is accurate and objective.
Based on the same technical concept, the embodiment of the present disclosure also provides a video quality evaluation method, which includes the following steps S201 to S204.
S201, obtaining a data table T1 according to each user ID, the watching times of each user and the starting time point and the closing time point of each watching of each user.
The format of the data table T1 is shown in table 1 below, and the data in table 1 are exemplary data.
TABLE 1
| For the next time of seeing | User ID | Starting point in time | Point of time of closure |
| 1 | 001 | 00:00:00 | 00:05:00 |
| 2 | 001 | 00:05:00 | 00:07:00 |
| 3 | 001 | 00:07:00 | 00:06:00 |
| 4 | 001 | 00:07:00 | 00:10:00 |
| 1 | 002 | 00:00:00 | 00:15:00 |
The "user ID" is a login ID when the user logs in the website to watch a certain video.
The "start time point" is calculated as follows:
if the user watches the video for the first time, recording the starting time point of watching the video for the first time as 00:00: 00;
if the user does not watch the video for the first time, the starting time point of watching the video for the first time is recorded as the latest closing time point in the closing time points in the past.
The "closing time point" may also be referred to as a time point when the user finishes watching this time, specifically, a time when the user closes the video this time, where the time corresponds to an actual playing progress of the video.
As shown in table 1, for a user whose user ID is 001, the video is watched four times in total, the video is watched for the first time, the video is watched for 5 minutes from the beginning, the corresponding "start time point" is 00:00:00, and the corresponding "close time point" is 00:05:00, which indicates that the video is closed when the video progress bar is displayed as 00:05: 00; viewing the video for the second time, even if the video is viewed from the beginning, recording the corresponding 'starting time point' as the ending time point of the first viewing, namely 00:05:00, and recording the corresponding 'closing time point' as 00:07:00, which indicates that the video is closed when the video progress bar is displayed as 00:07: 00; watching the video for the third time, recording the corresponding 'starting time point' as the finishing time point of the second watching, namely 00:07:00, and the corresponding 'closing time point' is 00:06:00, which indicates that the video is closed when the video progress bar is displayed as 00:06: 00; for the fourth time of watching the video, since the closing time point of the previous time is earlier than the starting time point, the corresponding "starting time point" is also recorded as the ending time point of the second watching, namely 00:07:00, and the corresponding "closing time point" is 00:10:00, which indicates that the video is closed when the video progress bar is displayed as 00:10: 00.
The purpose of the above-mentioned setting of the "start time point" is to delete the time period that the user repeatedly watches, because when the user drags the progress bar to skip some repeated portions, the user does not like to watch the portion of the video but watches the portion of the video, so that the time period that the user repeatedly watches has no meaning for the subsequent calculation of the quality score of the video.
It should be noted that, each time a user opens the video viewing, a new record is inserted into the data table T1, and the historical data of the same user is traversed according to the above rule, and the value of each field is calculated and filled into the table.
S202, obtaining a data table T2 according to each user ID, each user watching times, each user dragging start time point and end time point and corresponding dragging duration.
The format of the data table T2 is shown in table 2 below, and the data in table 2 is exemplary data.
TABLE 2
Wherein "look after" of data table T2 corresponds to "look after" of data table T1; the "user ID" of the data table T2 corresponds to the "user ID" of the data table T1. Two "first views" appear in data table T2, indicating that the user drags the video progress bar twice in total when viewing the video for the first time.
The 'dragging start time point' is the starting time of dragging the video; the "drag end time point" is the drag video end time. Moreover, the starting time and the ending time of the dragged video respectively correspond to the actual playing progress of the video.
The "dragging duration" is calculated by using the binary group of "seeing for the second time" and "user ID" as the associated condition of the data tables T1 and T2, and the specific calculation manner is as follows:
1) if the starting time point of a certain row of data in the data table T1 is later than the closing time point (e.g., the third row in table 1), recording the dragging time length of the corresponding row in the data table T2 as 0 (e.g., the fourth row in table 2);
2) if the dragging start time point of a row of data table T2 is earlier than the start time point of the corresponding row of data table T1 (e.g. the corresponding third row of the second row in table 1 and the corresponding third row of table 2, and the corresponding fifth row of the 4 th row in table 1 and the corresponding fifth row of table 2), the dragging time duration of the row of data table T2 is recorded as: t2 drag end time-T1 start time; if the calculated dragging time length is less than 0, recording the dragging time length as 0;
by the above 1) and 2), the portion of the time length that the user repeatedly watches is deleted when the dragging time length is calculated.
3) For the other cases except 1) and 2), i.e. the case that the dragging start time point of a certain row of data table T2 is not earlier than the start time point of the corresponding row of data table T1 (e.g. the first row of table 1 and the corresponding first and second rows of table 2), the dragging time duration of the row of data table T2 is recorded as: the line drag end time point-drag start time point; and if the calculated dragging time length is less than 0, recording the dragging time length as 0.
It should be noted that, each time the user drags the progress bar, a new record is inserted into the data table T2, and the time length of each dragging by the user is calculated according to the above rule, and the unit of the dragging time length is cut to be seconds.
And S203, adding the dragging time lengths of each user to obtain the accumulated dragging time length of each user to the video.
And S204, calculating the video quality score.
Specifically, the quality score of each user for the video is equal to the cumulative dragging duration of each user for the video divided by the total playing duration of the video.
According to the video quality evaluation method provided by the embodiment of the disclosure, the quality scores of the video of each user watching the video are obtained by collecting and analyzing the behavior of the user dragging the video progress bar, so that the quality of the video can be measured accurately, and the evaluation result is accurate and objective.
Fig. 2 is a block diagram of a video quality evaluation apparatus according to an embodiment of the present disclosure. As shown in fig. 2, the apparatus 2 includes: an acquisition module 21, a determination module 22, a superposition module 23 and an evaluation module 24.
The obtaining module 21 is configured to obtain a previous starting time point and a previous closing time point when each user watches a certain video, and a previous dragging starting time point and a dragging ending time point when the user watches the video each time;
the determining module 22 is configured to determine the time length of each user dragging each time according to the starting time point and the closing time point of each user watching a certain video, and the dragging starting time point and the dragging ending time point of each user watching the video each time;
the superimposing module 23 is configured to add the dragging durations of each user to obtain an accumulated dragging duration of each user for the video;
the evaluation module 24 is configured to obtain a quality score of each user for the video according to the cumulative dragging time of each user for the video and the total playing time of the video.
In the embodiment of the disclosure, the accumulated time for dragging the video progress bar when each user watches a certain video is counted, and then the quality score of each user on the video is obtained by combining the accumulated time with the total playing time of the video, so that the quality of the video can be measured more accurately.
In one embodiment, the acquisition module 21 includes a first acquisition unit and a second acquisition unit.
The first obtaining unit is set to record the starting time point of the user watching the video as a preset initial value and record the closing time point of the user watching the video as the moment of closing the video at the time if the user watches the video for the first time; if the user does not watch the video for the first time, recording the starting time point of watching the video for the first time as a closing time point with the latest time in the closing time points of the previous times, and recording the closing time point of watching the video for the second time as the moment of closing the video for the current time;
the second obtaining unit is set to record each time of dragging start time point of the user watching the video each time as each time of dragging video start time, and record each time of dragging end time point of the user watching the video each time as each time of dragging video end time;
wherein the time corresponds to the actual playing progress of the video.
In the embodiment of the present disclosure, the above setting of the "start time point" is to delete the time length that the user repeatedly watches, because when the user drags the progress bar to skip some repeated portions, the user does not like to watch the portion of the video but watches the portion of the video, so that the time length that the user repeatedly watches has no meaning for subsequently calculating the quality score of the video.
In one embodiment, the determining module 22 is specifically configured to:
if the starting time point of the user watching the video is later than the closing time point, marking the dragging time of the user watching the video at this time as 0;
if the dragging start time point of a certain time when a user watches the video at a certain time is earlier than the start time point when the user watches the video at this time, the dragging time length of the time is the difference between the end time point of the dragging at this time and the start time point, and if the difference value is less than 0, the difference value is marked as 0; and the number of the first and second groups,
if the dragging start time point of a certain time when the user watches the video is not earlier than the start time point when the user watches the video at this time, the dragging time length of the time is the difference between the end time point of the dragging and the dragging start time point of the time, and if the difference is less than 0, the difference is marked as 0.
In the embodiment of the disclosure, when the time length of each user dragging is calculated, the part of the time length repeatedly watched by the user is deleted, so that the quality score of the video obtained subsequently is more accurate.
In one embodiment, the evaluation module 24 is specifically configured to:
the quality score of each user for the video is equal to the cumulative drag duration of each user for the video divided by the total play duration of the video.
In the embodiment of the disclosure, the accumulated dragging time of each user to a certain video is divided by the total playing time of the video to obtain the quality score of each user to the video, the calculation mode is simple, and the obtained quality score is closer to the actual quality of the video.
The video quality evaluation device provided by the embodiment of the disclosure acquires and analyzes the behavior of the user dragging the video progress bar to obtain the quality score of each user watching the video on the video, so that the quality of the video can be measured more accurately, and the evaluation result is more accurate and objective.
Based on the same technical concept, the embodiment of the present disclosure correspondingly provides a computer device, as shown in fig. 3, the computer device 3 includes a memory 31 and a processor 32, the memory 31 stores a computer program, and when the processor 32 runs the computer program stored in the memory 31, the processor 32 executes the aforementioned video quality evaluation method.
Based on the same technical concept, embodiments of the present disclosure correspondingly provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the processor executes the aforementioned video quality evaluation method.
To sum up, the video quality evaluation method, the video quality evaluation device, the computer device and the storage medium provided by the embodiments of the present disclosure provide a video quality evaluation scheme from a new dimension as an evaluation reference for video (non-live broadcast) heat, and specifically obtain the quality score of each video watching user on the video by acquiring and analyzing the behavior of the user dragging the video progress bar, so that the quality of the video can be measured more accurately, and the evaluation result is more accurate and objective.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present disclosure, and not for limiting the same; while the present disclosure has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present disclosure.
Claims (10)
1. A video quality evaluation method is characterized by comprising the following steps:
acquiring the starting time point and the closing time point of the past when each user watches a certain video, and the dragging starting time point and the dragging ending time point of the past when the user watches the video each time;
determining the time length of each user dragging according to the starting time point and the closing time point of each time when each user watches a certain video, and the dragging starting time point and the dragging ending time point of each time when the user watches the video each time;
adding the dragging time lengths of each user to obtain the accumulated dragging time length of each user to the video; and the number of the first and second groups,
and obtaining the quality score of each user for the video according to the accumulated dragging time of each user for the video and the total playing time of the video.
2. The method of claim 1, wherein obtaining a starting time point and a closing time point of each user watching a video comprises:
if the user watches the video for the first time, recording the starting time point of watching the video for the first time as a preset initial value, and recording the closing time point of watching the video for the second time as the moment of closing the video for the first time; and the number of the first and second groups,
if the user does not watch the video for the first time, recording the starting time point of watching the video for the first time as a closing time point with the latest time in the closing time points of the previous times, and recording the closing time point of watching the video for the second time as the moment of closing the video for the current time;
acquiring the previous dragging start time point and the dragging end time point of the user watching the video each time, wherein the steps comprise:
respectively recording each dragging start time point of the user watching the video each time as each dragging video start time, and respectively recording each dragging end time point of the user watching the video each time as each dragging video end time;
wherein the time corresponds to the actual playing progress of the video.
3. The method of claim 2, wherein determining the duration of each user's drag according to the historical start time and close time of each user watching a video and the historical drag start time and drag end time of each user watching the video comprises:
if the starting time point of the user watching the video is later than the closing time point, marking the dragging time of the user watching the video at this time as 0;
if the dragging starting time point of a certain time when a user watches the video at a certain time is earlier than the starting time point when the user watches the video at the current time, the dragging time length of the current time is the difference between the end time point of the current dragging and the starting time point; and the number of the first and second groups,
if the starting time point of the dragging of the certain time when the user watches the video at a certain time is not earlier than the starting time point when the user watches the video at this time, the dragging time length of the time is the difference between the ending time point of the dragging at this time and the starting time point of the dragging.
4. The method of claim 1, wherein deriving the quality score of each user for the video according to the cumulative dragging duration of each user for the video and the total playing duration of the video comprises:
the quality score of each user for the video is equal to the cumulative drag duration of each user for the video divided by the total play duration of the video.
5. A video quality evaluation method device is characterized by comprising the following steps:
the acquisition module is arranged for acquiring the starting time point and the closing time point of the calendar of watching a certain video by each user, and the dragging starting time point and the dragging ending time point of the calendar of watching the video by the user each time;
the determining module is set to determine the dragging time length of each user every time according to the starting time point and the closing time point of each time when each user watches a certain video and the dragging starting time point and the dragging ending time point of each time when the user watches the video every time;
the superposition module is set to add the dragging time lengths of each user to obtain the accumulated dragging time length of each user to the video; and the number of the first and second groups,
and the evaluation module is set to obtain the quality score of each user for the video according to the accumulated dragging time of each user for the video and the total playing time of the video.
6. The apparatus of claim 5, wherein the obtaining module comprises:
the first acquisition unit is set to record the starting time point of watching the video for the first time as a preset initial value and record the closing time point of watching the video for the second time as the moment of closing the video for the first time if a user watches the video for the first time; if the user does not watch the video for the first time, recording the starting time point of watching the video for the first time as a closing time point with the latest time in the closing time points of the previous times, and recording the closing time point of watching the video for the second time as the moment of closing the video for the current time; and the number of the first and second groups,
a second obtaining unit, configured to record each dragging start time point when the user watches the video each time as each dragging video start time, and record each dragging end time point when the user watches the video each dragging video end time;
wherein the time corresponds to the actual playing progress of the video.
7. The apparatus of claim 6, wherein the determination module is specifically configured to:
if the starting time point of the user watching the video is later than the closing time point, marking the dragging time of the user watching the video at this time as 0;
if the dragging starting time point of a certain time when a user watches the video at a certain time is earlier than the starting time point when the user watches the video at the current time, the dragging time length of the current time is the difference between the end time point of the current dragging and the starting time point; and the number of the first and second groups,
if the starting time point of the dragging of the certain time when the user watches the video at a certain time is not earlier than the starting time point when the user watches the video at this time, the dragging time length of the time is the difference between the ending time point of the dragging at this time and the starting time point of the dragging.
8. The apparatus of claim 5, wherein the evaluation module is specifically configured to:
the quality score of each user for the video is equal to the cumulative drag duration of each user for the video divided by the total play duration of the video.
9. A computer device characterized by comprising a memory in which a computer program is stored and a processor that executes the video quality evaluation method according to any one of claims 1 to 4 when the processor runs the computer program stored in the memory.
10. A computer-readable storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, causes the processor to execute the video quality evaluation method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010484162.2A CN111565335B (en) | 2020-06-01 | 2020-06-01 | Video quality evaluation method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010484162.2A CN111565335B (en) | 2020-06-01 | 2020-06-01 | Video quality evaluation method and device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111565335A CN111565335A (en) | 2020-08-21 |
| CN111565335B true CN111565335B (en) | 2021-09-03 |
Family
ID=72073706
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010484162.2A Active CN111565335B (en) | 2020-06-01 | 2020-06-01 | Video quality evaluation method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111565335B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114245220B (en) * | 2020-09-09 | 2023-05-16 | 中国联合网络通信集团有限公司 | Online video evaluation method, device, computer equipment and storage medium |
| CN112104912B (en) * | 2020-11-20 | 2021-02-12 | 深圳市房多多网络科技有限公司 | Method, device and equipment for detecting video watching completion degree and readable storage medium |
| CN116167898A (en) * | 2023-02-16 | 2023-05-26 | 广州中慧智能科技有限公司 | Network course management method, device, terminal and storage medium based on image data analysis |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103501461A (en) * | 2013-09-17 | 2014-01-08 | 北京奇艺世纪科技有限公司 | Method for playing video and player |
| CN103974096A (en) * | 2013-02-01 | 2014-08-06 | 腾讯科技（北京）有限公司 | Video file assessment method, device and system |
| CN106488256A (en) * | 2015-08-24 | 2017-03-08 | 北京国双科技有限公司 | A kind of data processing method and device |
| CN106941623A (en) * | 2017-04-27 | 2017-07-11 | 广东小天才科技有限公司 | A kind of method and device that video classes quality is evaluated based on big data |
| CN109376269A (en) * | 2018-12-05 | 2019-02-22 | 西安交通大学 | One kind being based on associated across the curriculum video subgraph recommended method of map |
| CN110312167A (en) * | 2019-06-26 | 2019-10-08 | 深圳市酷开网络科技有限公司 | A kind of method, intelligent terminal and storage medium calculating movie and television contents scoring |
| CN110620958A (en) * | 2019-09-25 | 2019-12-27 | 东北师范大学 | Video course quality evaluation method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103607605B (en) * | 2013-11-20 | 2017-02-01 | 北京国双科技有限公司 | Data processing method and apparatus for audience rating statistics |
-
2020
- 2020-06-01 CN CN202010484162.2A patent/CN111565335B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103974096A (en) * | 2013-02-01 | 2014-08-06 | 腾讯科技（北京）有限公司 | Video file assessment method, device and system |
| CN103501461A (en) * | 2013-09-17 | 2014-01-08 | 北京奇艺世纪科技有限公司 | Method for playing video and player |
| CN106488256A (en) * | 2015-08-24 | 2017-03-08 | 北京国双科技有限公司 | A kind of data processing method and device |
| CN106941623A (en) * | 2017-04-27 | 2017-07-11 | 广东小天才科技有限公司 | A kind of method and device that video classes quality is evaluated based on big data |
| CN109376269A (en) * | 2018-12-05 | 2019-02-22 | 西安交通大学 | One kind being based on associated across the curriculum video subgraph recommended method of map |
| CN110312167A (en) * | 2019-06-26 | 2019-10-08 | 深圳市酷开网络科技有限公司 | A kind of method, intelligent terminal and storage medium calculating movie and television contents scoring |
| CN110620958A (en) * | 2019-09-25 | 2019-12-27 | 东北师范大学 | Video course quality evaluation method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111565335A (en) | 2020-08-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111565335B (en) | Video quality evaluation method and device, computer equipment and storage medium | |
| US9736432B2 (en) | Identifying popular network video segments | |
| US20160149956A1 (en) | Media management and sharing system | |
| CN104967690B (en) | A kind of information-pushing method and device | |
| CN110941738B (en) | Recommendation method and device, electronic equipment and computer-readable storage medium | |
| US20120195570A1 (en) | Broadcast Program Processing Device, Broadcast Program Processing Method and Program Product | |
| US20200177961A1 (en) | Media content skipping | |
| CN110049318B (en) | Learning quality evaluation method and related device | |
| BR112013017292A2 (en) | disclosure of media asset usage data that indicates corresponding content creator | |
| US10129592B2 (en) | Audience measurement and feedback system | |
| CN111447505A (en) | Video clipping method, network device, and computer-readable storage medium | |
| CN110121088B (en) | User attribute information determination method and device and electronic equipment | |
| CN111314744B (en) | Video pushing method and server | |
| CN110688409A (en) | Learning state mining method, learning state recommendation method and electronic equipment | |
| CN107820125B (en) | Method and device for optimizing video application experience based on user behavior | |
| CN110806909A (en) | Method and device for determining page frame dropping information of application program and electronic equipment | |
| CN111669656B (en) | Method and device for determining wonderful degree of video clip | |
| CN111314792B (en) | Note generation method, electronic device and storage medium | |
| JP2012129982A (en) | Estimation device, estimation method, and program | |
| CN113691873A (en) | Video playing method, device, system, terminal and storage medium | |
| CN107846612B (en) | Audience rating analysis method and device | |
| CN105791908B (en) | Obtain the method and device of key frame of video | |
| CN110545451A (en) | stream media card pause identification method, server and system | |
| CN113971534A (en) | Education course distribution method and device and storage medium | |
| CN109561350B (en) | User interest degree evaluation method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |