CN113452989B - Film projection detection method for cinema, readable storage medium and system - Google Patents

Film projection detection method for cinema, readable storage medium and system Download PDF

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CN113452989B
CN113452989B CN202110693035.8A CN202110693035A CN113452989B CN 113452989 B CN113452989 B CN 113452989B CN 202110693035 A CN202110693035 A CN 202110693035A CN 113452989 B CN113452989 B CN 113452989B
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sound
film
live
information
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CN113452989A (en
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陈华明
黄建兴
陈刚
钟耀腱
廖杨焕
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Gdc Technology Shenzhen Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/233—Processing of audio elementary streams
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
    • H04N21/23418—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics
    • 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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs
    • H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
    • H04N21/234336—Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements by media transcoding, e.g. video is transformed into a slideshow of still pictures or audio is converted into text

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Abstract

The invention discloses a film showing detection method for cinema, a readable storage medium and a system, wherein the method comprises the steps of 100, acquiring live sound information, live picture information and playing time length of a played film; step 200, judging that the film showing is abnormal according to the fact that the live sound information is inconsistent with the pre-stored sound information, and if the live sound information is consistent with the pre-stored sound information, performing the next step; according to the fact that the scene picture information is not consistent with the pre-stored picture information, the judgment result is that the film showing is abnormal, and if the scene picture information is consistent with the pre-stored picture information, the next step is carried out; and judging that the film showing is abnormal according to the judgment result if the playing time length is not consistent with the pre-stored playing time length, and if the playing time length is consistent with the pre-stored playing time length, judging that the film showing is normal. By the method, whether the film is normally shown can be judged according to the field sound information, the field picture information and the playing time length information of the field playing film, and the problem that judgment omission or misjudgment of a low-quality film is caused by collecting local information in the prior art is solved.

Description

Film projection detection method for cinema, readable storage medium and system
Technical Field
The present invention relates to the field of digital movie playing methods, and in particular, to a movie projection detection method, a readable storage medium, and a system for movie theaters.
Background
The cinema film detection method in the prior art usually performs film quality detection according to subjective judgment of detection personnel on a live playing film or partial sampling of the film, often causes poor film viewing experience of audiences or prevents benefits of cinema partners from being protected because a low-quality film is not found or an appointed film is not played in a cinema due to insufficient collected detection samples or artificial subjective errors, and is troublesome in manual sampling mode and low in accuracy.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
In view of the foregoing disadvantages of the prior art, it is an object of the present invention to provide a film showing detection method, readable storage medium and system for cinema, which aims to solve the problem that the film showing condition of cinema cannot be automatically detected in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a film presentation detection method for a cinema, wherein the method comprises:
step 100, acquiring the live sound information, the live picture information and the playing time t of the played film0；
Step 200, judging that the film showing is abnormal according to the fact that the site sound information is inconsistent with the pre-stored sound information, and if the site sound information is consistent with the pre-stored sound information, performing the next step;
according to the fact that the scene picture information is not consistent with the pre-stored picture information, the judgment result is that the film showing is abnormal, and if the scene picture information is consistent with the pre-stored picture information, the next step is carried out;
according to the playing time t0If the preset playing time is not consistent with the preset playing time, the film showing is abnormal according to the judgment result, and if the preset playing time is consistent with the preset playing time, the film showing is normal.
The method for detecting the film projection of the cinema comprises the steps of obtaining live sound information, wherein the live sound information comprises live sound loudness and live sound content, and the live picture information comprises live picture brightness, live picture pixels and live picture content.
A method for film presentation detection for theaters, the steps 100 comprising:
step 110, collecting the live sound and the live picture of the played film through the camera, and recording the live light-off time tClosing deviceAnd the on-site light-on time tOpening device；
Step 120, obtaining the field sound loudness value of the field sound, and converting the collected field sound content into a field sound text;
step 130, acquiring the field image gray scale of the field image, the field image pixel, and converting the acquired field image content into a field image text;
step 140: according to the collected on-site light-off time tClosing deviceAnd the on-site light-on time tOpening deviceObtaining the playing time t of the movie0Wherein t is0＝tOpening device-tClosing device。
The method for detecting a film showing in a cinema, the step 130 further includes: dividing the picture into m regions to obtain PmmaxIs the largest pixel of the m-th region, PmminCalculating a sharpness value of the mth region for a minimum pixel of the mth region,
Figure GDA0003561599170000021
wherein q ismIs the definition value of the m-th area, the average definition value of the picture is q, wherein
Figure GDA0003561599170000022
The method for detecting a film showing in a cinema, wherein the step S100 is preceded by a step 90, and the step 90 further includes:
step 91: prestore sound loudness threshold S1,S2]A sharpness value p and a gray level threshold value of [ A, B ]]；
And step 92: pre-storing the sound text and the picture text;
step 93: and acquiring the pre-stored playing time corresponding to the film.
The method for detecting the film showing in the cinema, wherein the step 200 comprises:
step 210, the live sound loudness is at the sound loudness threshold [ S ]1,S2]And if the sound loudness is not in the threshold value of sound loudness [ S ] in the next step1,S2]If yes, judging that the result is abnormal;
step 220, if the average definition value q is greater than the definition threshold value p, then, if the average definition value q is less than the definition threshold value p, then, judging that the result is abnormal;
step 230, if the gray level of the field picture is in the gray level threshold value [ A, B ], the next step is that if the gray level is not in the gray level threshold value [ A, B ], the judgment result is abnormal;
step 240, if the live sound text is consistent with the sound text, the next step is carried out, and if the live sound text is not consistent with the sound text, the judgment result is abnormal;
step 250, if the field picture text is consistent with the picture text, the next step is carried out, and if the field picture text is not consistent with the picture text, the judgment result is abnormal;
step 260, the playing time t0If the preset playing duration is consistent with the preset playing duration, judging that the film showing is normal, and if the preset playing duration is inconsistent with the preset playing duration, judging that the film showing is abnormal.
Movie detection method for cinema, wherein the method further comprises: and 300, when the judgment result in the step 200 is abnormal, prompting an abnormal alarm.
The film showing detection method for cinema, wherein the method further comprises the following steps:
step 400, the cinema showing server generates a report by the sound information, the picture information and the judgment result.
A computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, which are executable by one or more processors to implement the steps of the movie presentation detection method as described in any one of the above.
A system for a movie presentation detection method for theaters, comprising: a processor and a memory; the memory has stored thereon a computer readable program executable by the processor; the processor, when executing the computer readable program, implements the steps of the motion picture presentation detection method as described in any one of the above.
Compared with the prior art, the invention discloses a film showing detection method, a readable storage medium and a system for a cinema, wherein the method comprises the steps of 100, acquiring live sound information, live picture information and playing time length of a played film; step 200, judging that the film showing is abnormal according to the fact that the live sound information is inconsistent with the pre-stored sound information, and if the live sound information is consistent with the pre-stored sound information, performing the next step; according to the fact that the scene picture information is not consistent with the pre-stored picture information, the judgment result is that the film showing is abnormal, and if the scene picture information is consistent with the pre-stored picture information, the next step is carried out; and judging that the film showing is abnormal according to the judgment result if the playing time length is not consistent with the pre-stored playing time length, and if the playing time length is consistent with the pre-stored playing time length, normally showing the film. By the method, whether the film is normally shown or not can be judged according to the field sound information, the field picture information and the playing duration information of the field playing film, the problem that judgment omission or misjudgment on the low-quality film is caused by manual collection of local information is solved, and the detection accuracy and efficiency are improved.
Drawings
Fig. 1 is a flow chart illustrating a step 90 of a film presentation detection method for a theater according to the present invention;
fig. 2 is a flow chart illustrating a method for detecting a motion picture presentation for a cinema according to the present invention;
fig. 3 is a flow chart illustrating the steps 100 of a film presentation detection method for theaters in accordance with the present invention;
fig. 4 is a flow chart illustrating steps 200 of a film presentation detection method for theaters in accordance with the present invention;
fig. 5 is a graph of the cinema presentation server generation according to sound loudness in an embodiment of the present invention.
Detailed Description
The present invention provides a method, a computer readable medium and a system for detecting a movie projection in a cinema, which will be described in further detail below in order to make the objects, technical solutions and effects of the present invention clearer and clearer. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a film showing detection method for cinema, which comprises a step 90, as shown in fig. 1, wherein the step 90 comprises the following steps:
step 91, prestore sound loudness threshold value [ S ]1,S2]Definition threshold p and gray level threshold [ A, B]The sound intensity threshold values are respectively used as reference values for detecting sound intensity, definition and brightness of the film, and the corresponding sound intensity threshold values [ S ] can be flexibly pre-stored according to different films1,S2]Said sharpness threshold p and said grey level threshold [ A, B]For example, if the sound loudness of a thriller-like movie has a large variation amplitude, the brightness of the whole movie is mainly dark, and the quality of the movie is clear, the threshold value of the sound loudness may be set to [5, 55%]The definition threshold p is 0.2, and the gray level threshold is [50,100 ]](ii) a A travel documentary film with gradual change of sound loudness, mainly bright overall picture, and more clear picture quality can be set the threshold sound loudness [28, 35%]The definition threshold p is 0.4, and the gray level threshold is [160,200 ]]。
Step 92, pre-storing a sound text and a picture text, wherein the sound text and the picture text are pre-stored, and the sound text and the picture text can be further used for detecting the sound content and the picture content of the film on the basis of the step 91, so that the result of detecting the film is more accurate, the theater showing server can pre-store the theater photo and/or the movie screenshot of the film to a theater showing server, the theater showing server is the uploaded theater photo and/or movie screenshot identification according to a Perceptual hash algorithm (Perceptual hash algorithm), and the movie theater showing server converts the theater photo and/or the movie screenshot into the voice text and the picture text for voice content detection and picture content detection, respectively. For example, three movie screenshots are uploaded to the cinema showing server, the first movie screenshot is a scene of a car explosion fire, the second movie screenshot is a scene of an ambulance running a red light to cross a road, the third movie screenshot is a scene of stopping bleeding for a struggling wounded person, the cinema showing server respectively numbers the uploaded three movie screenshots as a, B and C through a hash algorithm, and respectively converts the movie screenshots of a, B and C into the voice text and the picture text, as shown in the following table:
film screenshot number Speech text Picture text
A Explosion sound, combustion sound Broken old car, fire, explosion
B Ambulance whistle Ambulance, crossroad, road, traffic light
C Painful cry Doctor, patient, blood, painful expression, gauze and sickbed
In addition, words can also be directly input as the voice text and the picture text, for example, "explosion, burning, ambulance, call" is input as the voice text, and "car, explosion, ambulance running red light, doctor stopping bleeding for patient, patient shouting" is input as the picture text.
And step 93, acquiring the pre-stored playing time corresponding to the film to be used as a reference value for detecting the playing time of the film, so as to avoid the problem that the detection of the time of the whole film often has to be abandoned due to the detection time consumption in the prior art. For example, a movie is uploaded to the cinema exhibition server, and the cinema exhibition server obtains the pre-stored playing time of the movie to be 123 minutes.
Taking a science fiction type universal travel film A with the detection time length of 127 minutes as an example, firstly, according to the sound loudness, the definition and the brightness of the whole film of the film A, pre-storing the threshold value [ S ] of the sound loudness of the film A1,S2]Definition threshold p, gray level threshold [ A, B ]](step 91), as in the following table:
threshold sound loudness Definition threshold p Grey scale threshold value [ A, B]
[5,50] 0.3 [10,100]
Uploading ten movies of the film A to the cinema showing server, sequentially identifying and numbering the movies by the cinema showing server, and converting the movies into the sound text information and the picture text information by the server (step 92) for detecting the sound content and the picture content of the movies; and uploading the A film play list to the cinema showing server, wherein the cinema showing service acquires the pre-stored play time corresponding to the film for 127 minutes (step 93).
Step 100, as shown in fig. 2, after the step 90 is executed, acquiring the live sound information, the live picture information and the playing time t of the movie0Wherein the live sound information is live sound loudness and live sound content (e.g., rainy sound, wide-ranging)Slogan, movie lines), the live picture information being live picture gray, live picture pixels (e.g., maximum pixel brightness and minimum pixel brightness of a picture) and live picture contents (e.g., advertisement pictures of cars, pictures of tank attack pillboxes), whereby the live sound loudness of a movie showing live in a theater, the content of the live sound, and the periodic acquisition of the live picture gray, the live picture pixels and the live picture contents and the play duration t in real time0And the information is acquired, so that the problem that the quality of the film cannot be comprehensively detected due to the fact that only part of the field sound information is acquired (for example, only the sound loudness is acquired) and only part of the field picture information is acquired (for example, only the field picture gray scale) in the prior art is solved.
As shown in fig. 3, the step 100 includes:
110, acquiring the field sound of the film on site through a camera, acquiring the whole field picture of the film, and recording the on-site light-off time t of the cinemaClosing (A)And the on-site light-on time tOpening deviceThe camera can be convenient, high-efficient, low-cost collection scene sound, the scene picture with scene switch light time, and the information collection degree of accuracy is high, and sustainable time is long, and the acquisition time is nimble, in addition, gathers through the camera the whole width of film the scene picture has solved and has gathered among the prior art the local picture of scene picture and the local picture that causes the collection can't react whole width the problem of scene picture quality. For example, a camera is arranged at a fixed position of a cinema, the live sound of the live film is collected by the camera in real time, the whole live picture of the film is collected periodically at intervals of 3 seconds, and the camera acquires the live light-off time tClosing device3 months and 1 day 15:30 in 2021, and the on-site light-on time tOpening deviceIs 16:55 at 3/1/2021.
Step 120, obtaining the loudness of the field sound, and converting the collected content of the field sound into a field sound text, so that the loudness of the field sound can be continuously obtained in real time, and the content of the field sound can be converted into the field sound text, thereby avoiding the situation that the loudness of the field sound in a part of time period of the film is collected only in the prior art, and the loudness of the field sound in a part of time period of the film is abnormal possibly caused by omission of detection. For example, as shown in the following table, during a 5 second period of a movie showing in a theater, the camera collects live sound loudness in real time within the 19-45 db interval, and converts the live sound content into the live sound text: "(generous exciting music)" let i go to fry down enemy's pillbox bar, i not afraid of sacrifice. ", during another 5 second period of movie screening, the camera is real-time to acquire live sound loudness within the 16-26 decibel interval, the camera is turned into live sound text" (explosion sound) enemy's pillbox is fried, rushing green (assault sound) ".
Figure GDA0003561599170000071
Step 130, acquiring the field image gray scale and the field image pixel of the field image, and converting the acquired field image content into a field image text, wherein the field image gray scale is acquired, and the camera can convert the colorful field image into a gray scale image and then acquire the field image gray scale. When the camera collects the pixels of the field picture, the field picture can be divided into m areas to obtain PmmaxIs the maximum pixel (e.g., maximum pixel brightness), P, of the m-th regionmminFor the minimum pixel (e.g., minimum pixel brightness) of the mth region, the mth region q is calculatedmThe sharpness value q of the picture ofm，
Figure GDA0003561599170000072
Wherein q ismCalculating an average sharpness value of q for the sharpness value of the mth region, wherein
Figure GDA0003561599170000073
Thereby can pass throughThe camera periodically obtains the gray scale of the on-site picture of the film, the pixel of the on-site picture (such as the maximum pixel brightness and the minimum pixel brightness), and can convert the picture content into the text of the on-site picture, the on-site picture pixel and the text of the on-site picture can be continuously collected by periodically collecting the gray scale of the on-site picture, the pixel of the on-site picture and the text of the on-site picture, so that the gray scale of the film can be continuously collected, the pixel of the picture can be continuously collected, the problem that part of the on-site picture with low quality in the film is missed to be collected can be avoided, besides, compared with the method for collecting the pixel of the on-site picture locally in the prior art, the method of the invention divides the whole collected on-site picture into m areas by the camera to collect the pixel of the on-site picture, the method can realize that a plurality of areas are used for collecting the field picture pixels of a single field picture, so that the collected field picture pixels can better represent the quality of the whole field picture, for example, in a disaster movie, part of pictures are not suitable for being watched by audiences, the picture of the movie is locally provided with a mosaic, the definition value of the field picture of the disaster movie collected locally in the prior art can be misjudged as the field picture is fuzzy, the picture is divided into 6 areas by the method disclosed by step 130 in the invention, and the picture definition value q of the picture in the local mosaic area of the field picture is divided into 6 areas1cThe picture sharpness value of the remaining 5 regions is normal, which may be q2c＝0.5，q3c＝0.3，q4c＝0.4，q5c＝0.6，q6c0.4, the average picture sharpness value of the mosaic picture is:
Figure GDA0003561599170000081
the average definition value with mosaic is not misjudged as 0 because the definition value of a local mosaic area is 0. The following describes the step 130 by taking an example of a movie theater playing in which an adventure movie with a mobile phone advertisement at the beginning, and the camera is usedThe gray level of the on-site picture and the pixel of the on-site picture are obtained every 5 seconds, and the content of the on-site picture is converted into an on-site picture text, as shown in the following table, the camera obtains the gray level of the on-site picture of a first on-site picture and the gray level of the on-site picture of a second on-site picture within 10 seconds, the pixel of the on-site picture converts the content of the on-site picture into the on-site picture text, the gray level of the on-site picture of the first on-site picture is 72, the gray level of the on-site picture of the second on-site picture is 121, the content of the on-site picture of the first on-site picture is converted into the on-site picture text which is a mobile phone, and the content of the on-site picture of the second on-site picture is converted into the on-site picture text which is a cliff, a person or a rope.
Figure GDA0003561599170000091
The camera divides the first scene picture into 4 areas, and obtains the maximum pixel (such as the maximum pixel brightness) P of the 1 st area 1max300, minimum pixel (e.g., minimum pixel luminance) P 1min200, 2 nd area maximum pixel P2max290, minimum pixel P 2min230, region 3 maximum pixel P3max298 minimum pixel P 3min220, the 4 th region maximum pixel P4max270, minimum pixel P4minTable 200, as follows:
calculating the definition values of the 4 regions of the first scene picture as:
Figure GDA0003561599170000092
Figure GDA0003561599170000093
calculating the average definition value q of the first scene picture to obtain
Figure GDA0003561599170000094
The camera divides the second scene picture into 4 areas, and obtains the maximum pixel (such as the maximum pixel brightness) P of the 1 st area1amax270, minimum pixel (e.g., minimum pixel luminance) P 1amin240, 2 nd region maximum pixel P2amax280, minimum pixel P 2amin240, 3 rd region maximum pixel P3amax293, minimum pixel P3amin254, the 4 th region maximum pixel P 4amax230, minimum pixel P4aminTable 200, as follows:
calculating the definition values of the 4 regions of the first scene picture as:
Figure GDA0003561599170000101
Figure GDA0003561599170000102
calculating the average definition value q of the first scene picture to obtain
Figure GDA0003561599170000103
Step 140: according to the collected on-site light-off time tClosing deviceAnd the on-site light-on time tOpening deviceObtaining the playing time t of the movie0Wherein t is0＝tOpening device-tClosing deviceTherefore, the actual playing time of the film can be calculated under the condition that detection personnel do not need to be on the showing site, and the labor cost is greatly saved. For example, if the cinema is turned off at 21: 00 of 5-month and 21-month in 2021 and the light is turned on at 21:30 of 5-month and 21-month in 2021, the playing time t of the movie can be obtained021:30-20:00 for 90 minutes.
Step 200, judging that the film showing is abnormal according to the fact that the site sound information is inconsistent with the pre-stored sound information, and if the site sound information is consistent with the pre-stored sound information, performing the next step; according to the fact that the scene picture information is not consistent with the pre-stored picture information, the judgment result is that the film showing is abnormal, and if the scene picture information is consistent with the pre-stored picture information, the next step is carried out; according to the playing time t0If the preset playing time is not consistent with the preset playing time, the film showing is abnormal according to the judgment result, and if the preset playing time is consistent with the preset playing time, the film showing is normal. Therefore, only when the live sound information is consistent with the pre-stored sound information, the live picture information is consistent with the pre-stored picture information, and the playing time length is consistent with the pre-stored playing time length, the judgment result is normal, otherwise, the judgment result is abnormal playing, and the situation that the live sound information and/or the live picture information and/or the playing time length t are overlooked and detected frequently in manual detection of films in the prior art is avoided0The judgment result is wrong under the condition, for example, the scene sound information is detected to show normally by manpower, the scene picture is shown normally, but the playing time length t cannot be detected0And 2 minutes of reduction, making a false judgment that the projection is normal.
As shown in fig. 4, step 200 includes, step 210, the live sound loudness being at S1,S2]In the next step, if not in [ S ]1,S2]If the sound volume of the live sound is too low or too high, the sound volume of the live sound is judged to be abnormal. For example, the threshold sound loudness is [5,50 ]]If the sound loudness fluctuates within 4-45 db, the next step is performed, and if the sound loudness fluctuates within 4-45 db, the sound loudness is determined to be abnormal, and in addition, the number of times of exceeding the threshold range of the sound loudness in unit time may be further set as a basis for determining whether the sound loudness in the field is abnormal, for example, the threshold of the sound loudness is set to [5, 50%]And judging that the frequency of the loudness of the live sound exceeding 50 decibels for 5 seconds exceeds 5 times or the frequency of the loudness of the live sound lower than 5 decibels for 5 seconds exceeds 5 times, and judging that the loudness of the live sound is abnormal.
Step 220, if the average sharpness value q is greater than the sharpness threshold value p, then, next, if the average sharpness value q is less than the sharpness threshold value p, the determination result is abnormal, so that whether the live picture is abnormal or not can be detected by detecting the average sharpness value of the live picture of the live showing film, for example, the sharpness threshold value is 0.3, and the average sharpness value is 0.2, then the determination result is abnormal.
Step 230, if the gray scale of the live picture is located in [ a, B ], then next step, if not, then the judgment result is abnormal, so that whether the gray scale of the live picture of the live film is in a normal range can be detected for detecting whether the brightness of the picture is normal. For example, if the gray level of the live image is 60, the result is determined to be abnormal [70, 210 ].
And 240, if the live sound text is consistent with the sound text, the next step is that if the live sound text is not consistent with the sound text, the judgment result is abnormal, so that whether the film is normally shown or not can be detected through the live sound text, and the situations that the live sound is not consistent with the film picture content, or the cinema does not show advertisements or films according to the regulations are prevented from being missed are avoided. For example, if the live speech text is related to a car advertisement and the sound text is related to a food advertisement, the result is determined to be abnormal.
And step 250, if the live picture text is consistent with the picture text, then the next step is that if the live picture text is not consistent with the picture text, the judgment result is abnormal, so that whether the film is normally played or not can be detected through the live picture text, and the situations that the detection of the live picture text is consistent with the live voice content or the cinema does not show advertisements or films according to the regulations are avoided. For example, if the scene screen text is about a food and the screen text is about a marine animal, the result is determined to be abnormal.
Step 260, if the playing duration is consistent with the pre-stored playing duration, the movie is normally played according to the judgment result, and if not, the judgment result is abnormal, so that whether the movie played in the cinema is completely played or not can be judged. For example, if the playing time is 115 minutes, and the pre-stored playing time is 123 minutes, the difficult determination result is abnormal.
Step 300: when the judgment result in the step 200 is abnormal, an abnormal alarm is prompted, so that related personnel can be notified to maintain or handle the abnormality at the first time. For example, when the on-site voice text information is judged to be inconsistent with the pre-stored voice text information, the cinema showing server sends out a warning to the related personnel, and the related personnel can enter the on-site processing in time.
In step 400, the cinema exhibition server generates a report from the sound information, the screen information, and the determination result, for example, the report is as shown in the following table:
Figure GDA0003561599170000121
Figure GDA0003561599170000131
the cinema presentation server may also generate a graph, for example, from the sound loudness generation curve, as shown in fig. 5.
The present invention also discloses a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, which are executable by one or more processors to implement the steps of the movie projection detection method as described in any one of the above.
The invention also discloses a system of the movie detection method for the cinema, wherein the system comprises the following steps: a processor and a memory; the memory has stored thereon a computer readable program executable by the processor; the processor, when executing the computer readable program, implements the steps of the motion picture presentation detection method as described in any one of the above.
The present invention will be further explained below by taking an example of a live action movie B with a drug advertisement shown in a live action theater.
According to the aboveThe content of the movie B is pre-stored with a loudness threshold S1,S2]＝[5,50]Definition threshold p is 0.2, and gray level threshold is [ A, B]＝[10,200](step 91);
uploading 3 pictures of the advertisement and 3 pictures of the motion picture B to a cinema exhibition server in advance, the cinema exhibition server converting the screenshots into corresponding voice texts and picture texts as shown in the following table for detecting live voice texts and live picture texts of the movies (step 92);
Figure GDA0003561599170000141
uploading the name of the movie B to the cinema showing server in advance, and acquiring the pre-stored playing time of the movie B as 100 minutes to detect the playing time of the movie B (step 93).
Obtaining the live sound loudness and the live sound content of the film B, the live picture brightness, the live picture pixel, the live picture content and the playing time t0(step 100), specifically, collecting the live sound and the live picture of the B film on site through a camera at a cinema fixed position, and recording the live light-off time t112:00 at 6 months and 1 day of 2021 and on-site light-on time t 26, 1, 13:33 in 2021, the camera does not influence the viewing experience of field audiences when in work and can work for a long time (step 110); acquiring the live sound loudness value of the live sound, converting the acquired live sound content into live sound text (step 120), acquiring the sound loudness of the B-film for 10 seconds by using the camera, and converting the acquired live sound into live sound text as shown in the following table;
Figure GDA0003561599170000142
it should be noted that, in the whole process of playing the movie B, the camera acquires the sound loudness of the movie B in real time and converts the sound content into the live sound text, and the method is the same as the method for acquiring the sound loudness of 10 seconds by the camera and converting the live sound content into the live sound text, and is not described herein again.
The camera acquires the field image gray scale of the field image of the B-film every 5 seconds, the field image pixel, and converts the acquired field image content into a field image text (step 130), where taking the camera acquiring the first field image and the second field image of the B-film for 10 seconds as an example, as shown in the following table, each field image is divided into a 1 st area, a 2 nd area, a 3 rd area, and a 4 th area, the maximum pixel (for example, the maximum pixel brightness) and the minimum pixel (for example, the minimum pixel brightness) of each area are acquired, the sharpness value of each area is calculated, and then the average sharpness value of the corresponding image is calculated, where the gray scale of the first field image is acquired, and the average sharpness value is taken as an example:
the camera acquires a first field picture, acquires the field picture gray scale of the first field picture to be 96, divides the first field picture into the 1 st area, the 2 nd area, the 3 rd area and the 4 th area, respectively acquires the maximum pixel (maximum pixel brightness) and the minimum pixel (e.g. minimum pixel brightness) of each area, as shown in the following table, acquires the maximum pixel (maximum pixel brightness) and the minimum pixel (minimum pixel brightness) of the 4 areas of the first field picture, as shown in the following table, calculates the sharpness value of each area, as follows,
sharpness value of the 1 st region:
Figure GDA0003561599170000151
sharpness value of the 2 nd region:
Figure GDA0003561599170000152
sharpness value of the 3 rd region:
Figure GDA0003561599170000153
sharpness value of the 4 th region:
Figure GDA0003561599170000154
calculating the average definition value of the first scene picture to obtain
Figure GDA0003561599170000161
Figure GDA0003561599170000162
It should be noted that, in the whole process of playing the movie, the camera continuously obtains the gray scale of the live picture every 5 seconds, divides each live picture into 4 areas, and obtains the average sharpness value of each live picture, and the method is the same as the method for obtaining the gray scale of the first picture of the B-movie, the picture pixels, and the method for converting the picture content into the text of the live picture, and is not repeated here.
The camera is used for collecting the on-site light-off time tClosing deviceIs 2021 year, 6 months, 1 day, 12:00 and on-site light-on time tOpening deviceCalculating the playing time length t for 2021 year, 6 month, 1 day, 13:330Comprises the following steps:
t0＝tswitch (C)-tClosing device13:33-12: 00-93 minutes. (step 140)
Within 10 seconds, the loudness range of the live sound collected by the camera is [21-36 ]]In between the pre-stored sound loudness threshold [ S1, S2 ]]＝[5,50]In the meantime, the next step (step 210) is performed; executing the next step (step 220) according to that the definition value of the first field picture acquired by the camera is 0.8 and the definition value of the second field picture is 0.7 which are both greater than the pre-stored definition threshold value 0.2; root of herbaceous plantThe gray scale of the first field picture obtained by the camera is 96, the gray scale of the second field picture is 113, and the gray scales are both located at the gray threshold values [ A, B ]]＝[10,200]In between, the next step is performed (step 230); according to the live sound text acquired by the camera, the method comprises the following steps: "female elderly voice" was 86 years old this year, climbed thirty floors without breathing "and" (explosive sound), (brake sound), (building collapse sound), (fear sound) was fast evading. The female and old people's voice, stair climbing voice, explosion voice and brake voice are consistent with the content, and the next step is executed (step 240); according to the field picture text acquired by the camera: "old person, stair, medicine" and "car, explosion, bridge, fear crowd, fire" with the picture text: the contents of medicine, climbing stairs, old people, laughing, vehicle, explosion, jumping, bridge and collapse are consistent, and the next step is executed (step 250); according to the playing time t0When the time length of 93 minutes is not consistent with the pre-stored playing time length of 100 minutes, the result is judged to be abnormal (step 260).
And when the judgment result is abnormal, the cinema showing server sends an abnormal prompt alarm to the computer to prompt the information that the playing time is abnormal (step 300).
The cinema exhibition server generates a report of the sound information, the screen information and the judgment result (step 400) as follows:
Figure GDA0003561599170000171
Figure GDA0003561599170000181
according to the report, the advertiser can detect whether the cinema plays the advertisement or not according to the live voice text, the movie provider can detect whether the cinema plays the specified movie or not, and the cinema can detect whether the movie is played normally or not.
A computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs, which are executable by one or more processors, to implement the steps of the movie presentation detection method according to any one of the above.
A system for a movie detection method for theaters, comprising: a processor and a memory; the memory has stored thereon a computer readable program executable by the processor; the processor, when executing the computer readable program, implements the steps of any of the movie presentation detection methods described above.
In summary, the present invention discloses a method for detecting a movie showing in a cinema, which includes pre-storing a sound loudness threshold, a definition threshold, a gray level threshold, a sound text, a picture text, and obtaining a pre-stored playing duration of a movie, and can detect the movie according to a standard most suitable for the movie by using the corresponding sound loudness threshold, definition threshold, gray level threshold, sound text, picture text, and pre-stored playing duration to be stored in different movies. (step 100) by acquiring the loudness of the live sound, the content of the live sound, the brightness of the live picture, the pixel of the live picture and the content of the live picture, the content of the film can be detected from multiple aspects, high-quality detection of the film is realized, and the detection efficiency and accuracy are improved. And screening and detecting the live playing film by judging whether the live picture information is consistent with the pre-stored picture information, whether the live sound information is consistent with the sound information and whether the playing time length is consistent with the pre-stored playing time length, so that the detection range has uniformity, and the problems of normal live picture, abnormal live sound or abnormal playing time length are avoided. And when the judgment result is that the scene picture information is abnormal, the scene sound information is abnormal or the playing time is abnormal, the cinema showing server gives an alarm and can give a prompt at the first time so as to enable a detector to process the alarm. The cinema showing server can also generate reports, data curves and the like for analysis of the detection personnel, or for judgment of whether the played content is consistent with the preset content by personnel such as advertisers and cinemas, so that the movie detection data and the judgment result can be visually and uniformly displayed. The invention also discloses a computer-readable storage medium storing one or more programs, which are executable by one or more processors to implement the steps of the movie detection method described in any one of the above. The invention also discloses a system of the movie detection method for the cinema, which comprises a processor and a memory; the memory has stored thereon a computer readable program executable by the processor; the processor, when executing the computer readable program, performs the steps of any of the above movie detection methods.
It should be understood that equivalents and modifications of the technical solution and inventive concept thereof may occur to those skilled in the art, and all such modifications and alterations should fall within the scope of the appended claims.

Claims (8)

1. A film presentation detection method for use in a theater, the method comprising:
step 100, acquiring the live sound information, the live picture information and the playing time t of the played film0；
200, judging that the film showing is abnormal according to the fact that the site sound information is inconsistent with the pre-stored sound information, and if the site sound information is consistent with the pre-stored sound information, carrying out the next step;
according to the fact that the scene picture information is not consistent with the pre-stored picture information, the judgment result is that the film showing is abnormal, and if the scene picture information is consistent with the pre-stored picture information, the next step is carried out;
according to the playing time t0If the preset playing time is not consistent with the preset playing time, the film showing is abnormal according to the judgment result, and if the preset playing time is consistent with the preset playing time, the film showing is normal;
the scene sound information is the scene sound loudness and the scene sound content, the scene picture information is the scene picture gray scale, the scene picture pixel and the scene picture content, the scene picture information is collectedWhen the picture is in pixel, the picture is divided into m areas to obtain Pm maxIs the largest pixel of the m-th region, Pm minCalculating a sharpness value of the mth region for a minimum pixel of the mth region,
Figure FDA0003551171270000011
wherein q ismIs the definition value of the m-th area, the average definition value of the picture is q, wherein
Figure FDA0003551171270000012
2. A film presentation detection method for theaters as set forth in claim 1, the step 100 comprising:
step 110, collecting the live sound and the live picture of the played film through the camera, and recording the live light-off time tClosing deviceAnd the on-site light-on time tOpening device；
Step 120, obtaining the field sound loudness value of the field sound, and converting the collected field sound content into a field sound text;
step 130, acquiring the field image gray scale and the field image pixel of the field image, and converting the acquired field image content into a field image text;
step 140: according to the collected on-site light-off time tClosing deviceAnd the on-site light-on time tOpening deviceObtaining the playing time t of the movie0Wherein t is0＝tOpening device-tClosing device。
3. A film projection detection method for cinema as claimed in claim 2, wherein said step S100 is preceded by a step 90, said step 90 further comprising:
step 91: prestore sound loudness threshold S1,S2]The definition value p and the gray level threshold value are [ A, B]；
And step 92: pre-storing the sound text and the picture text;
step 93: and acquiring the pre-stored playing time corresponding to the film.
4. A film presentation detection method for theaters according to claim 3, wherein the step 200 comprises:
step 210, the live sound loudness is at the sound loudness threshold [ S ]1,S2]And if the sound loudness is not in the threshold value of sound loudness [ S ] in the next step1,S2]If yes, judging that the result is abnormal;
step 220, if the average definition value q is greater than the definition threshold value p, then, if the average definition value q is less than the definition threshold value p, then, judging that the result is abnormal;
step 230, if the gray level of the on-site picture is in the gray level threshold value [ A, B ], the next step is that if the gray level of the on-site picture is not in the gray level threshold value [ A, B ], the judgment result is abnormal;
step 240, if the live sound text is consistent with the sound text, the next step is carried out, and if the live sound text is not consistent with the sound text, the judgment result is abnormal;
step 250, if the field picture text is consistent with the picture text, the next step is carried out, and if the field picture text is not consistent with the picture text, the judgment result is abnormal;
step 260, the playing time t0If the preset playing duration is consistent with the preset playing duration, judging that the film showing is normal, and if the preset playing duration is inconsistent with the preset playing duration, judging that the film showing is abnormal.
5. A film presentation detection method for use in a cinema as recited in claim 4, wherein the method further comprises: and 300, when the judgment result in the step 200 is abnormal, prompting an abnormal alarm.
6. A film presentation detection method for use in a cinema as recited in claim 5, wherein the method further comprises:
step 400, the cinema showing server generates a report by the sound information, the picture information and the judgment result.
7. A computer-readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement the steps of the movie presentation detection method according to any one of claims 1 to 6.
8. A system for motion picture presentation detection at a theater, comprising: a processor and a memory; the memory has stored thereon a computer readable program executable by the processor; the processor when executing the computer readable program realizes the steps of the film showing detection method according to any one of claims 1 to 6.
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