CN112925925A - Multimedia content automatic auditing method, electronic equipment and storage medium - Google Patents
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Abstract
The invention provides an automatic multimedia content auditing method, which comprises the following steps: after receiving the multimedia content uploading signal, triggering automatic auditing service; calling an audio stream acquisition service, and reading an audio stream of the multimedia; calling a character recognition service to convert the audio stream into subtitles; calling a sensitive word detection service to acquire a sensitive word from a sensitive word library, detecting whether the caption contains the sensitive word, and feeding back a detection result; calling a video frame acquisition service, and reading a multimedia video frame; calling a sensitive graph detection service to read sensitive graph characteristic data from a sensitive graph library, comparing the sensitive graph characteristic data with video frames, and feeding back a detection result; and integrating and pushing the detection result of the audio stream and the detection result of the video frame. The invention relates to an electronic device and a storage medium, which are used for executing an automatic multimedia content auditing method. The invention can reduce the condition of missing audit due to human factors, improve the overall coverage rate of audit, reduce the labor cost of audit and improve the audit efficiency.
Description
Technical Field
The invention relates to the technical field of computer information processing, in particular to an automatic multimedia content auditing method, electronic equipment and a storage medium.
Background
With the development of multimedia technology, users can distribute multimedia contents on platforms of respective multimedia contents after creating the multimedia contents. At present, media contents are issued to a media platform, an advertisement platform and the like, which all need to be checked by an auditor, but many times, an author of the multimedia contents pretends in the early stage of a video and can be hidden from the auditor sometimes. And the workload of artificially auditing videos in the whole process is large, auditors are easy to fatigue, and if part of time points of the multimedia are audited by spot inspection, the audits can be omitted.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide an automatic multimedia content auditing method, which reduces the condition of missing auditing due to human factors, improves the overall auditing coverage rate, reduces the auditing labor cost and improves the auditing efficiency.
The invention provides an automatic multimedia content auditing method, which comprises the following steps:
triggering an audit service, and triggering an automatic audit service after receiving the multimedia content uploading signal;
reading audio stream, calling audio stream collection service by the automatic auditing service, and reading multimedia audio stream;
converting an audio stream, wherein the automatic auditing service calls a character recognition service to convert the audio stream into subtitles;
detecting sensitive words, calling a sensitive word detection service by the automatic auditing service, acquiring the sensitive words from a sensitive word library by the sensitive word detection service, detecting whether the subtitles contain the sensitive words, and returning a detection result to the automatic auditing service;
reading a video frame, wherein the automatic auditing service calls a video frame acquisition service to read the multimedia video frame;
detecting a sensitive graph, wherein the automatic auditing service calls a sensitive graph detection service, the sensitive graph detection service reads sensitive graph characteristic data from a sensitive graph library, compares the sensitive graph characteristic data with the video frame, and returns a detection result to the automatic auditing service;
and pushing an audit result, wherein the automatic audit service integrates the detection result of the audio stream and the detection result of the video frame and pushes the result to a media auditor.
Further, the converting the audio stream step includes:
sampling the signal, and measuring an analog value of the analog signal according to the sampling frequency;
step quantization, which is to perform step quantization by analog voltage values measured during sampling, divide the analog voltage values into a plurality of sections according to the maximum amplitude of the whole voltage variation, classify the sampled sample values falling in a certain section into one class and give corresponding quantized values;
end point detection, finding an end point through a fixed threshold value, positioning a starting point and an end point of voice from voice with noise, removing a mute part and a noise part, and finding the effective content of a section of voice;
extracting features, extracting feature parameters, detecting fundamental tones and extracting formants;
establishing a model, establishing a model for the characteristic parameters of the entries, and storing the model as a template library;
the entry recognition, wherein voice signals pass through the same channel to obtain voice characteristic parameters, a test template is generated, the test template is matched with a reference template, and the reference template entry with the highest matching score is used as a recognition result;
and splicing the subtitles, combining the recognized entry and the time information of the audio frequency into a sentence break, and combining the sentence break and the time information into a subtitle file.
Further, the method also comprises pre-filtering before the signal sampling step, and the audio stream is subjected to filtering processing; pre-emphasis, passing the filtered signal through a digital filter to enhance the high frequency portion of the signal.
Furthermore, windowing is further included between the hierarchical quantization step and the endpoint detection step, and windowing is performed on a time axis according to a preset windowing algorithm.
Further, the step of detecting the sensitive word comprises:
segmenting words, namely segmenting and segmenting text entries in the subtitle files;
full-text retrieval of sensitive words, namely matching each participle in the sensitive word library;
recording the occurrence time and the sensitive words, and taking the occurrence time of the matched participles in the entries and the matched sensitive words as auditing data to be stored in a database.
Further, the step of detecting the sensitivity map comprises:
preprocessing, namely performing denoising, smoothing and conversion operations on the video frame;
extracting characteristics, namely acquiring natural characteristics of the video frame and data characteristics obtained by conversion processing;
feature selection, namely discarding invalid features of the video frame;
identification training, namely obtaining identification classification rules through identification training of sensitive pictures;
a classification decision, namely classifying the identification objects by utilizing the identification classification rule and the sensitive graph characteristic data;
recording the occurrence time and the sensitive classification, judging whether the classification is a data sensitive classification, and if the matching is passed, taking the occurrence time of the picture and the matched sensitive classification as auditing data and storing the auditing data in a database.
An electronic device, comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing a multimedia content automatic audit method.
A computer-readable storage medium having stored thereon a computer program for executing by a processor a method for automatic auditing of multimedia content.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides an automatic multimedia content auditing method, which comprises the following steps: after receiving the multimedia content uploading signal, triggering automatic auditing service; calling an audio stream acquisition service, and reading an audio stream of the multimedia; calling a character recognition service to convert the audio stream into subtitles; calling a sensitive word detection service to acquire a sensitive word from a sensitive word library, detecting whether the caption contains the sensitive word, and feeding back a detection result; calling a video frame acquisition service, and reading a multimedia video frame; calling a sensitive graph detection service to read sensitive graph characteristic data from a sensitive graph library, comparing the sensitive graph characteristic data with video frames, and feeding back a detection result; and integrating and pushing the detection result of the audio stream and the detection result of the video frame. The invention relates to an electronic device and a storage medium, which are used for executing an automatic multimedia content auditing method. The invention can reduce the condition of missing audit due to human factors, improve the overall coverage rate of audit, reduce the labor cost of audit and improve the audit efficiency.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of an automatic multimedia content auditing method according to the present invention;
fig. 2 shows a sensing word detection result according to an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
An automatic auditing method for multimedia content, as shown in fig. 1, includes the following steps:
and the media uploader uploads the multimedia content to the multimedia publishing platform.
Triggering an audit service, and triggering an automatic audit service after receiving the multimedia content uploading signal;
reading the audio stream, automatically checking the service to call the audio stream acquisition service, and reading the audio stream of the multimedia;
and converting the audio stream, and automatically auditing the audio stream, and calling a character recognition service to convert the audio stream into subtitles. Specifically, the method comprises the following steps:
pre-filtering, namely filtering the audio stream, improving high frequency and removing the influence of a glottis and a lip;
pre-emphasis, namely, the filtered signal is used for enhancing the high-frequency part of the signal through a digital filter, so that the influence of lip radiation is removed, and the high-frequency resolution of voice is increased;
sampling the signal, and measuring an analog value of the analog signal according to the sampling frequency;
step quantization, which is to perform step quantization by analog voltage values measured during sampling, divide the analog voltage values into a plurality of sections according to the maximum amplitude of the whole voltage variation, classify the sampled sample values falling in a certain section into one class and give corresponding quantized values;
windowing, namely windowing on a time axis according to a preset windowing algorithm to reduce the problem of discontinuity of signals at the start and end of a frame;
end point detection, finding an end point through a fixed threshold value, positioning a starting point and an end point of voice from voice with noise, removing a mute part and a noise part, and finding the effective content of a section of voice;
extracting features, extracting feature parameters, detecting fundamental tones and extracting formants;
establishing a model, establishing a model for the characteristic parameters of the entries, and storing the model as a template library;
the entry recognition, wherein voice signals pass through the same channel to obtain voice characteristic parameters, a test template is generated, the test template is matched with a reference template, and the reference template entry with the highest matching score is used as a recognition result;
and splicing the subtitles, combining the recognized entry and the time information of the audio frequency into a sentence break, and combining the sentence break and the time information into a subtitle file.
Detecting sensitive words, calling a sensitive word detection service by the automatic auditing service, acquiring the sensitive words from a sensitive word library by the sensitive word detection service, detecting whether the subtitles contain the sensitive words or not, and returning a detection result to the automatic auditing service; the detection of whether the subtitles contain sensitive words specifically comprises the following steps:
segmenting words, namely segmenting sentence and segmenting words of text entries in the subtitle file;
full-text retrieval of sensitive words, namely matching each participle in a sensitive word library;
recording the occurrence time and the sensitive words, and taking the occurrence time of the matched participles in the entries and the matched sensitive words as auditing data to be stored in a database. As shown in fig. 2, the subtitle file may be opened with a notepad, and if "his mom" is a sensitive word, the 4 th one in the subtitle is matched.
Reading a video frame, calling a video frame acquisition service by an automatic auditing service, and reading a multimedia video frame;
and detecting the sensitive graph, calling a sensitive graph detection service by the automatic auditing service, reading the characteristic data of the sensitive graph from the sensitive graph library by the sensitive graph detection service, comparing the characteristic data of the sensitive graph with the video frame, and returning the detection result to the automatic auditing service. The sensitive image feature data is self features distinguished from other images, such as natural features intuitively sensed, such as brightness, edges, textures, colors and the like, or obtained only through transformation or processing, such as moments, histograms, principal components and the like. In this embodiment, the characteristic data of the sensitive image is the characteristics of the image such as pornography and violence, and is stored in a data form. Specifically, the method comprises the following steps:
and preprocessing, namely performing denoising, smoothing, transformation and other operations on the video frame to strengthen important characteristics of the image.
Extracting characteristics, namely acquiring natural characteristics of video frames and data characteristics obtained by conversion processing;
selecting characteristics, namely discarding invalid characteristics of the video frames;
identification training, namely obtaining identification classification rules through identification training of sensitive pictures;
classification decision, namely classifying the identification objects by utilizing identification classification rules and sensitive graph characteristic data;
recording the occurrence time and the sensitive classification, judging whether the classification is a data sensitive classification, and if the matching is passed, taking the occurrence time of the picture and the matched sensitive classification as auditing data and storing the auditing data in a database.
And pushing the auditing result, integrating the detection result of the audio stream and the detection result of the video frame by the automatic auditing service, and pushing the result to a media auditor.
And the media auditor makes final audit confirmation.
An electronic device, comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for performing a method for automatic auditing of multimedia content.
A computer-readable storage medium having stored thereon a computer program for execution by a processor of a method for automatic auditing of multimedia content.
The invention provides an automatic multimedia content auditing method, which comprises the following steps: after receiving the multimedia content uploading signal, triggering automatic auditing service; calling an audio stream acquisition service, and reading an audio stream of the multimedia; calling a character recognition service to convert the audio stream into subtitles; calling a sensitive word detection service to acquire a sensitive word from a sensitive word library, detecting whether the caption contains the sensitive word, and feeding back a detection result; calling a video frame acquisition service, and reading a multimedia video frame; calling a sensitive graph detection service to read sensitive graph characteristic data from a sensitive graph library, comparing the sensitive graph characteristic data with video frames, and feeding back a detection result; and integrating and pushing the detection result of the audio stream and the detection result of the video frame. The invention relates to an electronic device and a storage medium, which are used for executing an automatic multimedia content auditing method. The invention can reduce the condition of missing audit due to human factors, improve the overall coverage rate of audit, reduce the labor cost of audit and improve the audit efficiency.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner; those skilled in the art can readily practice the invention as shown and described in the drawings and detailed description herein; however, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the scope of the invention as defined by the appended claims; meanwhile, any changes, modifications, and evolutions of the equivalent changes of the above embodiments according to the actual techniques of the present invention are still within the protection scope of the technical solution of the present invention.
Claims (8)
1. An automatic multimedia content auditing method is characterized by comprising the following steps:
triggering an audit service, and triggering an automatic audit service after receiving the multimedia content uploading signal;
reading audio stream, calling audio stream collection service by the automatic auditing service, and reading multimedia audio stream;
converting an audio stream, wherein the automatic auditing service calls a character recognition service to convert the audio stream into subtitles;
detecting sensitive words, calling a sensitive word detection service by the automatic auditing service, acquiring the sensitive words from a sensitive word library by the sensitive word detection service, detecting whether the subtitles contain the sensitive words, and returning a detection result to the automatic auditing service;
reading a video frame, wherein the automatic auditing service calls a video frame acquisition service to read the multimedia video frame;
detecting a sensitive graph, wherein the automatic auditing service calls a sensitive graph detection service, the sensitive graph detection service reads sensitive graph characteristic data from a sensitive graph library, compares the sensitive graph characteristic data with the video frame, and returns a detection result to the automatic auditing service;
and pushing an audit result, wherein the automatic audit service integrates the detection result of the audio stream and the detection result of the video frame and pushes the result to a media auditor.
2. An automatic auditing method for multimedia content according to claim 1, characterised in that: the converting the audio stream step includes:
sampling the signal, and measuring an analog value of the analog signal according to the sampling frequency;
step quantization, which is to perform step quantization by analog voltage values measured during sampling, divide the analog voltage values into a plurality of sections according to the maximum amplitude of the whole voltage variation, classify the sampled sample values falling in a certain section into one class and give corresponding quantized values;
end point detection, finding an end point through a fixed threshold value, positioning a starting point and an end point of voice from voice with noise, removing a mute part and a noise part, and finding the effective content of a section of voice;
extracting features, extracting feature parameters, detecting fundamental tones and extracting formants;
establishing a model, establishing a model for the characteristic parameters of the entries, and storing the model as a template library;
the entry recognition, wherein voice signals pass through the same channel to obtain voice characteristic parameters, a test template is generated, the test template is matched with a reference template, and the reference template entry with the highest matching score is used as a recognition result;
and splicing the subtitles, combining the recognized entry and the time information of the audio frequency into a sentence break, and combining the sentence break and the time information into a subtitle file.
3. An automatic auditing method for multimedia content according to claim 2, characterised in that: pre-filtering is further included before the signal sampling step, and the audio stream is subjected to filtering processing; pre-emphasis, passing the filtered signal through a digital filter to enhance the high frequency portion of the signal.
4. An automatic auditing method for multimedia content according to claim 2, characterised in that: and windowing is further included between the step of hierarchical quantization and the step of endpoint detection, and windowing is performed on a time axis according to a preset windowing algorithm.
5. An automatic auditing method for multimedia content according to claim 2, characterised in that: the step of detecting the sensitive word comprises:
segmenting words, namely segmenting and segmenting text entries in the subtitle files;
full-text retrieval of sensitive words, namely matching each participle in the sensitive word library;
recording the occurrence time and the sensitive words, and taking the occurrence time of the matched participles in the entries and the matched sensitive words as auditing data to be stored in a database.
6. An automatic auditing method for multimedia content according to claim 1, characterised in that: the step of detecting the sensitivity map comprises the following steps:
preprocessing, namely performing denoising, smoothing and conversion operations on the video frame;
extracting characteristics, namely acquiring natural characteristics of the video frame and data characteristics obtained by conversion processing;
feature selection, namely discarding invalid features of the video frame;
identification training, namely obtaining identification classification rules through identification training of sensitive pictures;
a classification decision, namely classifying the identification objects by utilizing the identification classification rule and the sensitive graph characteristic data;
recording the occurrence time and the sensitive classification, judging whether the classification is a data sensitive classification, and if the matching is passed, taking the occurrence time of the picture and the matched sensitive classification as auditing data and storing the auditing data in a database.
7. An electronic device, characterized by comprising: a processor;
a memory; and a program, wherein the program is stored in the memory and configured to be executed by the processor, the program comprising instructions for carrying out the method according to any one of claims 1-6.
8. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program is executed by a processor for performing the method according to any of claims 1-6.
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| CN115834935A (en) * | 2022-12-21 | 2023-03-21 | 阿里云计算有限公司 | Multimedia information auditing method, advertisement auditing method, equipment and storage medium |
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