CN105872760A - Video play monitoring method and device - Google Patents
Video play monitoring method and device Download PDFInfo
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- CN105872760A CN105872760A CN201510873492.XA CN201510873492A CN105872760A CN 105872760 A CN105872760 A CN 105872760A CN 201510873492 A CN201510873492 A CN 201510873492A CN 105872760 A CN105872760 A CN 105872760A
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- frame images
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- 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
- H04N21/4424—Monitoring of the internal components or processes of the client device, e.g. CPU or memory load, processing speed, timer, counter or percentage of the hard disk space used
-
- 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
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a video play monitoring method and a video play monitoring device. The method can comprise the following steps: extracting two video frame images from a video played currently; obtaining pixel values of pixel points in target areas in the two video frame images; judging whether the pixel values meet a preset condition; and when the pixel values meet the preset condition, determining the video is played abnormally. Compared with the prior art, the technical scheme of the invention does not need manpower to determine whether the video is played abnormally, and does not have inaccurate monitoring result due to negligence; not only is the labor cost of an enterprise saved, but also the accuracy rate of the monitoring result is improved.
Description
Technical field
The present invention relates to technical field of data processing, particularly to a kind of video playback monitoring method and device.
Background technology
Along with progress and the raising of people's living standard of science and technology, video becomes people and receives the important way of information, people
Daily life in play the most important role.And if video record poor quality, then in video playback mistake
Cheng Zhong, it will occur that card exception or blank screen are abnormal, bring bad experience to user.Therefore, to video Jian Bo mechanism
For, detect defective video the most in time, it is to avoid abnormal broadcasting occurs during video projection, significant.
At present, by personal monitoring, prior art judges that video is play the most extremely, not only waste substantial amounts of artificial one-tenth
This, also can cause the accuracy rate of monitoring result bad due to the carelessness of monitoring personnel.
Summary of the invention
The embodiment of the present invention provides a kind of video playback monitoring method and device, to reduce the artificial one-tenth of video surveillance
This, and improve the accuracy rate of monitoring result.
In order to solve above-mentioned technical problem, the embodiment of the invention discloses following technical scheme:
A kind of video playback monitoring method, described method includes:
Two video frame images are extracted from currently playing video；
Obtain the pixel value of the pixel of target area in said two video frame images；
Judge whether described pixel value meets pre-conditioned；
When described pixel value meets pre-conditioned, determine that described video is abnormal and play.
A kind of video playback monitoring device, described device includes:
Video frame images extraction unit, for extracting two video frame images from currently playing video；
Pixel value acquiring unit, for obtaining the pixel value of the pixel of target area in said two video frame images；
Pixel value judging unit, is used for judging whether described pixel value meets pre-conditioned；
Abnormal broadcasting determines unit, for when described pixel value meets pre-conditioned, determines that described video is abnormal and plays.
The technical scheme that embodiments of the invention provide can include following beneficial effect:
A kind of video playback monitoring method of embodiment of the present invention offer and device, extract two in currently playing video
After video frame images, obtain the pixel value of the pixel of target area in two video frame images, and meet default bar at pixel value
During part, determine that described video is abnormal and play.
When applying the scheme of the embodiment of the present invention, when pixel value meets pre-conditioned, determine that described video is abnormal and play,
So technical scheme need not manually go to determine that video is play the most extremely, there will not be the prison caused due to carelessness
Survey result is inaccurate, and this has not only saved the cost of labor of enterprise, also improves the accuracy rate of monitoring result.
It should be appreciated that it is only exemplary and explanatory that above general description and details hereinafter describe, can not
Limit the disclosure.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In technology description, the required accompanying drawing used is briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The flow chart of a kind of video playback monitoring method that Fig. 1 provides for the embodiment of the present invention；
A kind of flow chart of step S102 in a kind of video playback monitoring method that Fig. 2 provides for the embodiment of the present invention；
A kind of flow chart of step S103 in a kind of video playback monitoring method that Fig. 3 provides for the embodiment of the present invention；
Another flow chart of step S103 in a kind of video playback monitoring method that Fig. 4 provides for the embodiment of the present invention；
A kind of flow chart of step S104 in a kind of video playback monitoring method that Fig. 5 provides for the embodiment of the present invention；
Another flow chart of step S104 in a kind of video playback monitoring method that Fig. 6 provides for the embodiment of the present invention；
The flow chart of another video playback monitoring method that Fig. 7 provides for the embodiment of the present invention；
The flow chart of another video playback monitoring method that Fig. 8 provides for the embodiment of the present invention；
The flow chart of another video playback monitoring method that Fig. 9 provides for the embodiment of the present invention；
The structural representation of a kind of video playback monitoring device that Figure 10 provides for the embodiment of the present invention；
The one of pixel value acquiring unit 1002 in a kind of video playback monitoring device that Figure 11 provides for the embodiment of the present invention
Structural representation；
In a kind of video playback monitoring device that Figure 12 provides for the embodiment of the present invention, abnormal broadcasting determines the one of unit 1004
Plant structural representation；
The one of pixel value judging unit 1003 in a kind of video playback monitoring device that Figure 13 provides for the embodiment of the present invention
Structural representation；
In a kind of video playback monitoring device that Figure 14 provides for the embodiment of the present invention, abnormal broadcasting determines the another of unit 1004
A kind of structural representation；
The structural representation of another video playback monitoring device that Figure 15 provides for the embodiment of the present invention；
The structural representation of another video playback monitoring device that Figure 16 provides for the embodiment of the present invention；
The structural representation of another video playback monitoring device that Figure 17 provides for the embodiment of the present invention.
Detailed description of the invention
Below embodiment of the present invention provides a kind of video playback monitoring method and device, to reduce the artificial one-tenth of video surveillance
This, and improve the accuracy rate of monitoring result.
For the technical scheme making those skilled in the art be more fully understood that in the embodiment of the present invention, and the present invention is made to implement
The above-mentioned purpose of example, feature and advantage can become apparent from understandable, below in conjunction with the accompanying drawings to technical side in the embodiment of the present invention
Case is described in further detail.
As it is shown in figure 1, the flow chart of a kind of video playback monitoring method provided for the embodiment of the present invention, this video playback
Monitoring method may comprise steps of:
In step S101, from currently playing video, extract two video frame images.
Specifically, when video playback, from currently playing video, extract two video frame images.Wherein, extracting
During video frame images, can first extract first video frame images, and be separated by Preset Time (such as can be separated by 0.2S,
0.4S, 1S, 2S etc.) after, or after being separated by default frame of video (such as can be separated by 5 frames, 10 frames, 15 frames etc.),
Extract second video frame images, it is also possible to before extracting current video two field picture at the same time and being positioned at current video two field picture
And a video frame images of current video frame image spacing Preset Time.Specifically perform in technical scheme
Time, can extract according to specific needs and specify time interval or specify two video frame images at frame number interval, the present invention is to this
Do not limit.
In step s 102, the pixel value of the pixel of target area in said two video frame images is obtained；
Wherein, described pixel value can be rgb value, CMYK value, YUV value etc..
Specifically, in this step, can first using corresponding region, position in two described video frame images as target area
Territory, further, obtains the pixel value of each pixel of the target area chosen.During the present invention specifically performs,
The mode choosing target area can have multiple.
Such as: as in figure 2 it is shown, in a kind of detailed description of the invention of the present invention, step S102 may include that
In step s 201, the least one set region that chosen position is corresponding respectively in said two video frame images is made
For described target area；
In step S202, obtain the pixel value of the pixel of described target area.
Specifically, the least one set region that in this embodiment, position is corresponding can be preassigned, it is also possible to be
The least one set region randomly selected in two video frame images obtained, after choosing target area, obtains each video
The pixel value of each pixel of the target area of two field picture.
Detailed description of the invention shown in Fig. 2 is only a kind of detailed description of the invention of step S102, and step S102 is all right
There is other embodiment, such as:
In the another kind of detailed description of the invention of the present invention, step S102 may include that
Using region corresponding with the predeterminable area of described video in said two video frame images as described target area；
Obtain the pixel value of the pixel of described target area.
Specifically, preassigned during the predeterminable area of video described in this embodiment, this preassigned predeterminable area
Position and number can select as required, for example, it is possible to border circular areas at the middle part of described video is made
For predeterminable area, it is also possible to using four rectangular areas of four corners of described video as predeterminable area etc..Obtaining
After two video frame images, using region corresponding with the predeterminable area specified on video frame images as target area, then
Obtain the pixel value of each pixel of the target area of each video frame images.Wherein, each pixel of image is obtained
The method of pixel value is prior art, repeats no more here.
Furthermore, it is necessary to explanation: the corresponding target area referring to choose in two video frame images, position in the present invention
The position in territory is identical；And the number choosing target area in each video frame images is when being multiple, these multiple target areas
The most overlapping.It addition, above-mentioned two embodiment is two specific embodiments of step S102, specifically real in the present invention
During executing, according to the inventive concept of the present invention, step S102 can also have other embodiments, and this is not limited by the present invention
Fixed.
In step s 103, it is judged that it is pre-conditioned whether described pixel value meets；
Specifically, pixel value parameter can be obtained according to the calculated for pixel values of each pixel obtained in step S102, so
Afterwards according to calculated pixel value parameter whether more than or less than corresponding threshold value, it is judged that it is pre-whether described pixel value meets
If condition.In specific implementation process of the present invention, it is judged that whether described pixel value meets pre-conditioned mode has multiple.
Such as: as it is shown on figure 3, in a kind of detailed description of the invention of the present invention, step S103 may include that
In step S301, calculate the pixel value of all pixels of target area described in each described video frame images
Meansigma methods；
Specifically, for each described video frame images, add up the number of the pixel of the target area of this video frame images,
And combine the pixel value of each pixel of the target area of this video frame images, calculate the target area of this video frame images
The pixel value meansigma methods of all pixels in territory.
In step s 302, it is judged that the difference of the described pixel value meansigma methods that said two video frame images is corresponding absolute
Whether value is less than absolute value threshold value；
Specifically, in this step, the absolute value of the difference of the pixel value meansigma methods obtained in calculation procedure S301, and
Judge that whether the absolute value calculated is less than absolute value threshold value.In specific implementation process of the present invention, can be as the case may be
Set absolute value threshold value, such as, absolute value threshold value can be set as 5,8,10 etc..
When the absolute value of difference of described pixel value meansigma methods corresponding to said two video frame images is less than absolute value threshold value
Time, in step S303, determine that described pixel value meets pre-conditioned.
Specifically, when the absolute value obtained in step S302 is less than absolute value threshold value set in advance, determine described
Pixel value meets pre-conditioned.
The most such as: as shown in Figure 4, in the another kind of detailed description of the invention of the present invention, step S103 may include that
In step S401, by the pixel value of all pixels of target area described in each described video frame images according in advance
If rule is ranked up, obtain sequence of pixel values；
Specifically, for each described video frame images, can be by all pixels of the target area of this video frame images
Pixel value is ranked up according to first left and then right, first up and then down order, obtains the sequence of pixel values of this video frame images.Can
To be understood by, during the present invention is embodied as, it is also possible to there are other to obtain the mode of sequence of pixel values, this
Bright this is not limited.
In step S402, calculate the MD5 value of described sequence of pixel values corresponding to each described video frame images；
Specifically, for each described video frame images, MD5 algorithm is utilized to calculate the sequence of pixel values of this video frame images
MD5 value.
In step S403, it is judged that whether the Similarity value of the MD5 value that said two video frame images is corresponding is more than similarity threshold
Value；
Specifically, in this step, calculate the Similarity value of MD5 value corresponding to said two video frame images, and judge to calculate
Whether the Similarity value gone out is more than similarity threshold.Wherein, the method for the Similarity value calculating MD5 value belongs to prior art, this
In repeat no more.During the present invention is embodied as, the size of similarity threshold can be set according to specific needs, such as may be used
Similarity threshold is set to 0.8,0.9 etc..
When the Similarity value of MD5 value corresponding to said two video frame images is more than similarity threshold, in step s 404,
Determine that described pixel value meets pre-conditioned.
Specifically, when the Similarity value calculated in step S403 is more than the similarity threshold pre-set, described picture is determined
Element value meets pre-conditioned.
When described pixel value meets pre-conditioned, in step S104, determine that described video is abnormal and play.
The method that the embodiment of the present invention provides, after extracting two video frame images, obtains two in currently playing video
The pixel value of the pixel of target area in individual video frame images, and when pixel value meets pre-conditioned, determine that described video is different
Often play.
When applying the scheme of the embodiment of the present invention, when pixel value meets pre-conditioned, determine that described video is abnormal and play,
So technical scheme need not manually go to determine that video is play the most extremely, there will not be the prison caused due to carelessness
Survey result is inaccurate, and this has not only saved the cost of labor of enterprise, also improves the accuracy rate of monitoring result.
Alternatively, on the basis of the embodiment of the method shown in Fig. 3, when the absolute value obtained in step S302 is less than absolutely
During to value threshold value, as it is shown in figure 5, in a kind of detailed description of the invention of the present invention, described step S104 may include that
In step S501, it is judged that the absolute value of the difference of the pixel value meansigma methods that said two video frame images is corresponding is
No is zero.
Specifically, in this solid step is rapid, when the described picture judging in step S302 that said two video frame images is corresponding
The absolute value of the difference of element value meansigma methods is less than absolute value threshold value, further, it is judged that the absolute value obtained in step S302
Whether it is zero.
When whether the absolute value of the difference of pixel value meansigma methods corresponding to said two video frame images is not zero, in step
In S502, determine that described video card pauses exception.
Specifically, in this step, when the described pixel judging in step S501 that said two video frame images is corresponding
When the absolute value of the difference of value meansigma methods is not zero, determine that described video card pauses exception.
When the absolute value of the difference of described pixel value meansigma methods corresponding to said two video frame images is zero, in step
In S503, extract the video data in said two video frame images correspondence moment respectively.
Specifically, in this solid step is rapid, when the described picture judging in step S501 that said two video frame images is corresponding
When the absolute value of the difference of element value meansigma methods is zero, two video frame images of extraction corresponding moment in described video respectively
Video data.
In step S504, calculate the MD5 value of two described video datas；
Specifically, in this step, two video datas of extraction in MD5 algorithm calculation procedure S503 respectively are utilized
MD5 value.
In step S505, it is judged that the MD5 value that two described video datas are corresponding is the most identical；
Specifically, in this step, two MD5 values by obtaining in multilevel iudge step S504 are the most identical.
When the MD5 value that two described video datas are corresponding is identical, in step S506, determine that described video blank screen is different
Often.
Specifically, in this step, when two the MD5 values obtained during step S505 judges step S504 are identical, determine
Described video blank screen is abnormal, when two the MD5 values obtained during step S505 judges step S504 differ, determines described
Video blank screen is play.
By embodiment illustrated in fig. 5, specifically judge that described video is that blank screen is abnormal or card is abnormal, improve prison
Survey the precision that video is abnormal.
Additionally, due to when video blank screen, it may be possible to blank screen is abnormal, it is also possible to is that blank screen is play, and broadcasts at video blank screen
When putting, corresponding video data, in addition to video image, also has other data, therefore, by comparing two video frame images
The MD5 value of the video data in corresponding moment is the most identical, it may be determined that go out when there is video blank screen, and specifically blank screen is abnormal still
Blank screen is play.Therefore, embodiment illustrated in fig. 5 has also identified that video specifically blank screen when there is blank screen is play, or blank screen
Abnormal, solve the problem that monitoring personnel cannot recognize that when video blank screen specifically blank screen exception or blank screen are play.
Alternatively, on the basis of the embodiment of the method shown in Fig. 4, when step S403 is judged said two video
When the Similarity value of the MD5 value that two field picture is corresponding is more than similarity threshold, as shown in Figure 6, the one in the present invention is concrete
In embodiment, described step S104 may include that
In step s 601, it is judged that the MD5 value that said two video frame images is corresponding is the most identical；
Specifically, in this step, when step S403 is judged the similar of MD5 value that said two video frame images is corresponding
When angle value is more than the similarity threshold pre-set, further, by the MD5 value obtained in multilevel iudge step S402 it is
No identical.
When the MD5 value that said two video frame images is corresponding differs, in step S602, determine that described video card pauses different
Often.
Specifically, in this step, when step S601 being judged, MD5 value that said two video frame images is corresponding is not
Time identical, determine that described video card pauses exception.
When the MD5 value that said two video frame images is corresponding is identical, in step S603, extract said two video respectively
The video data in two field picture correspondence moment.
Specifically, when judging that the MD5 value that obtains in step S402 is identical, extract two video frame images respectively in institute
State the video data in corresponding moment in video.
In step s 604, the MD5 value of two described video datas is calculated.
Specifically, in this step, the MD5 of two video datas extracted in MD5 algorithm calculation procedure S603 respectively is utilized
Value.
In step s 605, it is judged that the MD5 value that two described video datas are corresponding is the most identical；
Specifically, in this step, two MD5 values by obtaining in multilevel iudge step S604 are the most identical.
When the MD5 value that two described video datas are corresponding is identical, in step S606, determine that described video blank screen is abnormal.
Specifically, in this step, when step S605 being judged, two MD5 values obtaining in step S604 are identical, really
Fixed described video blank screen is abnormal, when judging in step S605 that obtain in step S604 two MD5 values differ, determines
Described video blank screen is play.
By embodiment illustrated in fig. 6, specifically judge that described video is that blank screen is abnormal or card is abnormal, improve prison
Survey the precision that video is abnormal.
Additionally, due to when video blank screen, it may be possible to blank screen is abnormal, it is also possible to is that blank screen is play, and broadcasts at video blank screen
When putting, corresponding video data, in addition to video image, also has other data, therefore, by comparing two video frame images
The MD5 value of the video data in corresponding moment is the most identical, it may be determined that go out when there is video blank screen, and specifically blank screen is abnormal still
Blank screen is play.Therefore, the embodiment described in Fig. 6 has also identified that video specifically blank screen when there is blank screen is play, or black
Screen is abnormal, solves the problem that monitoring personnel cannot recognize that when video blank screen specifically blank screen exception or blank screen are play.
According to previous embodiment, after the card determining described video pauses exception and blank screen exception, as it is shown in fig. 7, at this
In bright a kind of detailed description of the invention, described monitoring method can also include:
In step s 701, the monitoring journal of preset time period is extracted；
Specifically, in specific implementation process of the present invention, when monitoring video, corresponding monitoring journal can be generated, when recording each
Between section video playback situation, with facilitate needs when extract.In this step, described preset time period can be according to actual need
Pre-set, such as, preset time period can be set to 1 hour, 3 hours, 24 hours etc..
In step S702, according to described monitoring journal calculate described video blank screen is abnormal in described preset time period number of times and
Described video card pauses abnormal number of times；
In this step, being analyzed the monitoring journal extracted in step S701, statistical computation goes out video in preset time period
The number of times of blank screen exception occurs and a number of times for card exception occurs.
In step S703, it is judged that described video blank screen is abnormal and whether described video card pauses abnormal total degree less than total degree
Threshold value；
Specifically, in this step, according to video in the preset time period counted in step S702, the secondary of blank screen exception occurs
Counting and the number of times that card is abnormal occur, in calculating preset time period, there is the number of times of blank screen exception and card exception occurs in video
The total degree of number of times, and judge that whether total degree is less than total degree threshold value.Wherein, this total degree threshold value can be according to the monitoring extracted
The duration of daily record, the factor such as the kind of video of monitoring pre-set.
In step S704, when described video blank screen is abnormal and described video card pauses abnormal total degree is less than total degree threshold value,
Determine that the video in described preset time period is qualified video, otherwise, it determines the video in described preset time period is defective regarding
Frequently.
Specifically, in this step, when the total degree obtained in step S703 is less than total degree threshold value, described presetting is determined
Video in time period is qualified video, when the total degree obtained in step S703 is more than or equal to total degree threshold value, determines institute
Stating the video in preset time period is defective video.
Further, it is to be appreciated that can also have whether the video in preset time period described in other determination is qualified video
Method.
Such as: as shown in Figure 8, in a kind of detailed description of the invention of the present invention, after step S701, described monitoring side
Method can also include:
When in described monitoring journal, continuous several times determines described video blank screen exception, in step S801, it is judged that the most true
Whether make the abnormal number of times of described video blank screen less than blank screen frequency threshold value；
Specifically, in this step, by the monitoring journal extracted in analytical procedure S701, when the video finding monitoring connects
Continuous when repeatedly determining blank screen exception, further, it is judged that the abnormal number of times of continuous blank screen to occur whether less than blank screen frequency threshold value.
In step S702, when continuously determining out the abnormal number of times of described video blank screen less than blank screen frequency threshold value, determine institute
Stating the video in preset time period is qualified video, otherwise, it determines the video in described preset time period is defective video.
In this step, when step S801 determining the number of times continuous blank screen exception occur less than blank screen frequency threshold value, determine
Video in described preset time period is qualified video；When step S801 determining, the number of times continuous blank screen exception occur is more than
When blank screen frequency threshold value, determine that the video in described preset time period is defective video.
The most such as: as it is shown in figure 9, in a kind of detailed description of the invention of the present invention, after step S701, described monitoring
Method can also include:
When in described monitoring journal, continuous several times determines that described video card pauses abnormal, in step S901, it is judged that the most true
Make described video card and whether pause abnormal number of times less than card frequency threshold value；
Specifically, in this step, by the monitoring journal extracted in analytical procedure S701, when the video finding monitoring connects
Continue and repeatedly determine when card release is paused abnormal, further, it is judged that the number of times of card exception continuously occurs whether less than a card frequency threshold value.
In step S902, when continuously determine out described video card pause abnormal number of times less than card frequency threshold value time, determine institute
Stating the video in preset time period is qualified video, otherwise, it determines the video in described preset time period is defective video.
In this step, when step S901 determining number of times card exception continuously occur less than card frequency threshold value, determine
Video in described preset time period is qualified video；Occur that the number of times that card is abnormal continuously is more than when step S901 determines
When card frequency threshold value, determine that the video in described preset time period is defective video.
Embodiment described in Fig. 7, Fig. 8 or Fig. 9, by extracting the monitoring journal in preset time period, analyzes and presets
In time period, there is the number of times that blank screen is abnormal, card is abnormal in video, determines that the video in preset time period is the most qualified, real
Show the qualification to video quality, relatively and manually identified video quality, improve the efficiency of qualification, saved enterprise
Cost of labor.
In preceding method embodiment, identical step can mutually be used for reference, and different steps can be with independent assortment, and not
The scheme formed after same step combination, falls within the protection domain of the disclosure.
Relative to above method embodiment, the embodiment of the present invention additionally provides a kind of monitoring device.With reference to Figure 10, for this
The structural representation of a kind of monitoring device that bright embodiment provides, this device may include that video frame images extraction unit 1001,
Pixel value acquiring unit 1002, pixel value judging unit 1003 and abnormal broadcasting determine unit 1004.
Video frame images extraction unit 1001 is for extracting two video frame images from currently playing video；
Pixel value acquiring unit 1002 is for obtaining the pixel value of the pixel of target area in said two video frame images；
It is pre-conditioned that pixel value judging unit 1003 is used for judging whether described pixel value meets；
Abnormal broadcasting determines that unit 1004, for when described pixel value meets pre-conditioned, determines that described video is abnormal and plays.
This device that the embodiment of the present invention provides, after extracting two video frame images, obtains two in currently playing video
The pixel value of the pixel of target area in video frame images, and when pixel value meets pre-conditioned, determine that described video is abnormal
Play.
When applying the scheme of the embodiment of the present invention, when pixel value meets pre-conditioned, determine that described video is abnormal and play,
So technical scheme need not manually go to determine that video is play the most extremely, there will not be the prison caused due to carelessness
Survey result is inaccurate, and this has not only saved the cost of labor of enterprise, also improves the accuracy rate of monitoring result.
Preferably, as shown in figure 11, in a kind of detailed description of the invention of the present invention, described pixel value acquiring unit 1002 can
To include: target area determines that subelement 1101 and pixel value obtain subelement 1102.
Target area determine subelement 1101 in said two video frame images respectively chosen position corresponding at least one
Group region is as described target area；
Pixel value obtains subelement 1102 for obtaining the pixel value of the pixel of described target area.
Preferably, as shown in figure 12, in a kind of detailed description of the invention of the present invention, described abnormal broadcasting determines unit 1004
May include that the first card to pause extremely and determine that subelement the 1201, first video data extracts subelement the 1202, the oneth MD5 value meter
Operator unit 1203 and the first blank screen determine subelement 1204 extremely.
First card is abnormal determines that subelement 1201 is for when the difference of pixel value meansigma methods corresponding to said two video frame images
Absolute value less than absolute value threshold value and when being not zero, determine that described video card pauses exception；
First video data extracts subelement 1202 for when described pixel value meansigma methods corresponding to said two video frame images
When the absolute value of difference is zero, extract the video data in said two video frame images correspondence moment respectively；
Oneth MD5 value computation subunit 1203 is for calculating the MD5 value of two described video datas；
First blank screen is abnormal determines that subelement 1204 is for when MD5 value corresponding to two described video datas is identical, determining institute
State video blank screen abnormal.
Preferably, as shown in figure 13, in a kind of detailed description of the invention of the present invention, described pixel value judging unit 1003 can
To include: rank-ordered pixels subelement 1301, image MD5 value computation subunit 1302, Similarity value judgment sub-unit 1303
With determine subelement 1304.
Rank-ordered pixels subelement 1301 is for the picture by all pixels of target area described in each described video frame images
Element value is ranked up according to preset rules, obtains sequence of pixel values；
Image MD5 value computation subunit 1302 is for calculating the MD5 of described sequence of pixel values corresponding to each described video frame images
Value；
Whether Similarity value judgment sub-unit 1303 for judging the Similarity value of MD5 value that said two video frame images is corresponding
More than similarity threshold；
Determine subelement 1304 for the Similarity value when MD5 value corresponding to said two video frame images more than similarity threshold
Time, determine that described pixel value meets pre-conditioned.
Further, it is preferable to ground, as shown in figure 14, in a kind of detailed description of the invention of the present invention, described abnormal broadcasting is really
Cell 1004 may include that the second card pause abnormal determine subelement the 1401, second video data extract subelement 1402, the
Two MD5 value computation subunit 1403 and the second blank screen determine subelement 1404 extremely.
Second card is abnormal determines that subelement 1401 is for being more than described similar when MD5 value corresponding to said two video frame images
Degree threshold value and when differing, determines that described video card pauses exception
Second video data extracts subelement 1402 and is used for when the MD5 value that said two video frame images is corresponding is identical, respectively
Extract the video data in said two video frame images correspondence moment；
2nd MD5 value computation subunit 1403 is for calculating the MD5 value of two described video datas；
Second blank screen is abnormal determines that subelement 1404 is for when MD5 value corresponding to two described video datas is identical, determining institute
State video blank screen abnormal.
As shown in figure 15, in a kind of detailed description of the invention of the present invention, described monitoring device can also include: monitoring journal
Extraction unit 1501, number of times computing unit 1502, total degree judging unit 1503 and the first defective video determine unit 1504.
Monitoring journal extraction unit 1501 is for extracting the monitoring journal of preset time period；
Number of times computing unit 1502 is described video blank screen exception in calculate described preset time period according to described monitoring journal
Number of times and described video card pause abnormal number of times；
Abnormal total degree is the least for judging that described video blank screen is abnormal and described video card pauses for total degree judging unit 1503
In total degree threshold value；
First defective video determines that unit 1504 is for when described video blank screen is abnormal and described video card pauses abnormal total degree
During less than total degree threshold value, determine that the video in described preset time period is qualified video, otherwise, it determines described preset time period
Interior video is defective video.
Further, it is to be appreciated that can also have whether the video in preset time period described in other determination is qualified video
Method.
Such as: as shown in figure 16, in a kind of detailed description of the invention of the present invention, after monitoring journal extraction unit 1501,
Described monitoring device can also include: blank screen frequency of abnormity judging unit 1601 and the second defective video determine unit 1602.
Blank screen frequency of abnormity judging unit 1601 is used for when in described monitoring journal, continuous several times determines that described video blank screen is abnormal
Time, it is judged that whether continuously determine out the abnormal number of times of described video blank screen less than blank screen frequency threshold value；
Second defective video determines that unit 1602 is for when continuously determining out the abnormal number of times of described video blank screen less than blank screen
During number threshold value, determine that the video in described preset time period is qualified video, otherwise, it determines the video in described preset time period
For defective video；
The most such as: as shown in figure 17, in a kind of detailed description of the invention of the present invention, monitoring journal extraction unit 1501 it
After, described monitoring device can also include: card frequency of abnormity judging unit 1701 and the 3rd defective video determine unit 1702.
Card frequency of abnormity judging unit 1701 for when in described monitoring journal continuous several times determine that described video card pauses exception
Time, it is judged that continuously determine out described video card and whether pause abnormal number of times less than card frequency threshold value；
3rd defective video determine unit 1702 for when continuously determine out described video card pause abnormal number of times less than card time
During number threshold value, determine that the video in described preset time period is qualified video, otherwise, it determines the video in described preset time period
For defective video.
About the device in above-described embodiment, wherein modules performs the concrete mode of operation in relevant the method
Embodiment is described in detail, explanation will be not set forth in detail herein.And it is understood that in above-described embodiment
Device each module between by the scheme after different block combiner, the protection of the disclosure can be fallen within independent assortment
Scope.
It should be noted that in this article, such as the relational terms of " first " and " second " or the like be used merely to by
One entity or operation separate with another entity or operating space, and not necessarily require or imply these entities or behaviour
Relation or the order of any this reality is there is between work.And, term " includes ", " comprising " or it is any
Other variants are intended to comprising of nonexcludability so that include the process of a series of key element, method, article or
Equipment not only includes those key elements, but also includes other key elements being not expressly set out, or also includes for this mistake
The key element that journey, method, article or equipment are intrinsic.
Those skilled in the art it can be understood that can add by software to the technology in the embodiment of the present invention required
The mode of general hardware platform realizes.Based on such understanding, the technical scheme in the embodiment of the present invention substantially or
Saying that the part contributing prior art can embody with the form of software product, this computer software product is permissible
It is stored in storage medium, such as ROM/RAM, magnetic disc, CD etc., instructs with so that a computer sets including some
Standby (can be personal computer, server, or the network equipment etc.) performs each embodiment of the present invention or embodiment
The method described in some part.
Invention described above embodiment, is not intended that limiting the scope of the present invention.Any the present invention's
Amendment, equivalent and the improvement etc. made within spirit and principle, should be included within the scope of the present invention.
Claims (14)
1. a video playback monitoring method, it is characterised in that described method includes:
Two video frame images are extracted from currently playing video；
Obtain the pixel value of the pixel of target area in said two video frame images；
Judge whether described pixel value meets pre-conditioned；
When described pixel value meets pre-conditioned, determine that described video is abnormal and play.
Method the most according to claim 1, it is characterised in that target area in described acquisition said two video frame images
The pixel value of pixel, including:
The least one set region that chosen position is corresponding respectively in said two video frame images is as described target area；
Obtain the pixel value of the pixel of described target area.
Method the most according to claim 1, it is characterised in that described determine that described video is abnormal and play, including:
When the absolute value of the difference of pixel value meansigma methods corresponding to said two video frame images less than absolute value threshold value and is not zero
Time, determine that described video card pauses exception；
When the absolute value of the difference of described pixel value meansigma methods corresponding to said two video frame images is zero, extract described respectively
The video data in two video frame images correspondence moment；
Calculate the MD5 value of two described video datas；
When the MD5 value that two described video datas are corresponding is identical, determine that described video blank screen is abnormal.
Method the most according to claim 1, it is characterised in that described to judge whether described pixel value meets pre-conditioned,
Including:
The pixel value of all pixels of target area described in each described video frame images is ranked up according to preset rules,
Obtain sequence of pixel values；
Calculate the MD5 value of described sequence of pixel values corresponding to each described video frame images；
Judge that whether the Similarity value of the MD5 value that said two video frame images is corresponding is more than similarity threshold；
When the Similarity value of MD5 value corresponding to said two video frame images is more than similarity threshold, determine that described pixel value is full
Foot is pre-conditioned.
Method the most according to claim 4, it is characterised in that described determine that described video is abnormal and play, including:
When the MD5 value that said two video frame images is corresponding is more than described similarity threshold and differs, determine described video card
Pause abnormal；
When the MD5 value that said two video frame images is corresponding is identical, extract the said two video frame images correspondence moment respectively
Video data；
Calculate the MD5 value of two described video datas；
When the MD5 value that two described video datas are corresponding is identical, determine that described video blank screen is abnormal.
6. according to the method described in claim 3 or 5, it is characterised in that described method also includes:
Extract the monitoring journal of preset time period；
The number of times abnormal according to described video blank screen in the described monitoring journal described preset time period of calculating and described video card pause different
Normal number of times；
Judge that described video blank screen is abnormal and whether described video card pauses abnormal total degree less than total degree threshold value；
When described video blank screen is abnormal and described video card pauses abnormal total degree is less than total degree threshold value, determine described default time
Between video in section be qualified video, otherwise, it determines the video in described preset time period is defective video.
Method the most according to claim 6, it is characterised in that described method also includes:
When in described monitoring journal, continuous several times determines described video blank screen exception, it is judged that continuously determine out described video blank screen
Whether abnormal number of times is less than blank screen frequency threshold value；
When continuously determining out the abnormal number of times of described video blank screen less than blank screen frequency threshold value, in determining described preset time period
Video is qualified video, otherwise, it determines the video in described preset time period is defective video；
Or,
When in described monitoring journal, continuous several times determines that described video card pauses abnormal, it is judged that continuously determine out described video card and pause
Whether abnormal number of times is less than card frequency threshold value；
When continuously determine out described video card pause abnormal number of times less than card frequency threshold value time, in determining described preset time period
Video is qualified video, otherwise, it determines the video in described preset time period is defective video.
8. a video playback monitoring device, it is characterised in that described device includes:
Video frame images extraction unit, for extracting two video frame images from currently playing video；
Pixel value acquiring unit, for obtaining the pixel value of the pixel of target area in said two video frame images；
Pixel value judging unit, is used for judging whether described pixel value meets pre-conditioned；
Abnormal broadcasting determines unit, for when described pixel value meets pre-conditioned, determines that described video is abnormal and plays.
Device the most according to claim 8, it is characterised in that described pixel value acquiring unit, including:
Target area determines subelement, for the least one set district that chosen position is corresponding respectively in said two video frame images
Territory is as described target area；
Pixel value obtains subelement, for obtaining the pixel value of the pixel of described target area.
Device the most according to claim 8, it is characterised in that described abnormal broadcasting determines unit, including:
First card is abnormal determines subelement, exhausted for the difference when pixel value meansigma methods corresponding to said two video frame images
To value less than absolute value threshold value and when being not zero, determine that described video card pauses exception；
First video data extracts subelement, for when the difference of described pixel value meansigma methods corresponding to said two video frame images
Absolute value when being zero, extract the video data in said two video frame images correspondence moment respectively；
Oneth MD5 value computation subunit, for calculating the MD5 value of two described video datas；
First blank screen is abnormal determines subelement, for when MD5 value corresponding to two described video datas is identical, determine described in regard
Frequently blank screen is abnormal.
11. devices according to claim 8, it is characterised in that described pixel value judging unit, including:
Rank-ordered pixels subelement, by the pixel value of all pixels of target area described in each described video frame images according to
Preset rules is ranked up, and obtains sequence of pixel values；
Image MD5 value computation subunit, calculates the MD5 value of described sequence of pixel values corresponding to each described video frame images；
Similarity value judgment sub-unit, it is judged that whether the Similarity value of the MD5 value that said two video frame images is corresponding is more than similar
Degree threshold value；
Determine subelement, when the Similarity value of MD5 value corresponding to said two video frame images is more than similarity threshold, determine
Described pixel value meets pre-conditioned.
12. devices according to claim 11, it is characterised in that described abnormal broadcasting determines unit, including:
Second card is abnormal determines subelement, for being more than described similarity threshold when MD5 value corresponding to said two video frame images
Value and when differing, determines that described video card pauses exception；
Second video data extracts subelement, for when the MD5 value that said two video frame images is corresponding is identical, extracts respectively
The video data in said two video frame images correspondence moment；
2nd MD5 value computation subunit, for calculating the MD5 value of two described video datas；
Second blank screen is abnormal determines subelement, for when MD5 value corresponding to two described video datas is identical, determine described in regard
Frequently blank screen is abnormal.
13. according to the device described in claim 10 or 12, it is characterised in that described device also includes:
Monitoring journal extraction unit, for extracting the monitoring journal of preset time period；
Number of times computing unit, the number of times that described video blank screen is abnormal in calculate described preset time period according to described monitoring journal
Pause abnormal number of times with described video card；
Total degree judging unit, for judging that described video blank screen is abnormal and whether described video card pauses abnormal total degree less than total
Frequency threshold value；
First defective video determines unit, for when described video blank screen is abnormal and described video card pauses, abnormal total degree is less than
During total degree threshold value, determine that the video in described preset time period is qualified video, otherwise, it determines in described preset time period
Video is defective video.
14. devices according to claim 13, it is characterised in that described device also includes:
Blank screen frequency of abnormity judging unit, is used for when in described monitoring journal, continuous several times determines described video blank screen exception,
Judge whether to continuously determine out the abnormal number of times of described video blank screen less than blank screen frequency threshold value；
Second defective video determines unit, for when continuously determining out the abnormal number of times of described video blank screen less than blank screen number of times threshold
During value, determine that the video in described preset time period is qualified video, otherwise, it determines the video in described preset time period is not
Qualified video；
Or,
Card frequency of abnormity judging unit, is used for when in described monitoring journal, continuous several times determines that described video card pauses abnormal,
Judge that whether continuously determine out described video card pauses abnormal number of times less than card frequency threshold value；
3rd defective video determines unit, for pausing abnormal number of times less than a card number of times threshold when continuously determining out described video card
During value, determine that the video in described preset time period is qualified video, otherwise, it determines the video in described preset time period is not
Qualified video.
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| CN201510873492.XA CN105872760A (en) | 2015-12-02 | 2015-12-02 | Video play monitoring method and device |
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| CN201510873492.XA CN105872760A (en) | 2015-12-02 | 2015-12-02 | Video play monitoring method and device |
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