CN115297360A - Intelligent auditing system for multimedia software video uploading - Google Patents
Intelligent auditing system for multimedia software video uploading Download PDFInfo
- Publication number
- CN115297360A CN115297360A CN202211116307.9A CN202211116307A CN115297360A CN 115297360 A CN115297360 A CN 115297360A CN 202211116307 A CN202211116307 A CN 202211116307A CN 115297360 A CN115297360 A CN 115297360A
- Authority
- CN
- China
- Prior art keywords
- auditing
- video
- sound
- picture
- uploading
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 claims abstract description 20
- 230000005540 biological transmission Effects 0.000 claims abstract description 14
- 238000000605 extraction Methods 0.000 claims description 21
- 238000000034 method Methods 0.000 claims description 21
- 238000012550 audit Methods 0.000 claims description 19
- 238000000926 separation method Methods 0.000 claims description 19
- 238000012549 training Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 7
- 230000006870 function Effects 0.000 claims description 6
- 239000000463 material Substances 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000010365 information processing Effects 0.000 claims description 3
- 210000005036 nerve Anatomy 0.000 claims description 3
- 238000001556 precipitation Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 230000009471 action Effects 0.000 description 3
- 230000001360 synchronised effect Effects 0.000 description 3
- 230000001154 acute effect Effects 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 2
- 238000012552 review Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—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
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
-
- 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
-
- 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]
- H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client
- H04N21/65—Transmission of management data between client and server
- H04N21/658—Transmission by the client directed to the server
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The invention relates to the technical field of multimedia video processing, and discloses an intelligent auditing system for uploading multimedia software video; the intelligent multimedia software video uploading auditing system comprises a central processing system, wherein the central processing system is used for carrying out safety control and transmission control on all transmission data in the intelligent multimedia software video uploading auditing system.
Description
Technical Field
The invention belongs to the technical field of multimedia video processing, and particularly relates to an intelligent auditing system for multimedia software video uploading.
Background
With the rise of the internet era, various software layers are in endless, and multimedia software is produced as soon as possible in order to meet entertainment requirements, the multimedia software generally refers to various software providing functions of characters, pictures, photos, sounds, animations and movies, and the multimedia is a comprehensive of various media, generally including various media forms of texts, sounds, images and the like.
The existing multimedia software provides a function of uploading videos by a user, and for the uploaded videos, the videos need to be audited and checked, so that the phenomena of pornography, administration, riot and terrorism, illegal violation, advertisements, LOGO watermarks and other illegal videos are avoided; therefore, improvements are now needed in view of the current situation.
Disclosure of Invention
Aiming at the situation and overcoming the defects of the prior art, the invention provides an intelligent auditing system for uploading a multimedia software video, which effectively solves the problems that the prior multimedia software provides a function of uploading the video by a user, the uploaded video needs to be audited and checked, and illegal videos such as pornography, administration, riot, illegal contraband, advertisements, LOGO watermarks and the like are avoided.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent multimedia software video uploading auditing system comprises a central processing system, wherein the central processing system is used for carrying out safety control and transmission control on all transmission data in the intelligent multimedia software video uploading auditing system;
video temporary storage system: the video temporary storage system is used for receiving videos needing to be uploaded, meanwhile, compressing the videos, then temporarily storing the videos according to transmission time sequence, and meanwhile, sending the videos according to the sequence, and is connected with the cloud end;
sound picture separation system: the sound and picture separation system is used for correspondingly decompressing the video sent by the video temporary storage system, then separating sound and picture of the decompressed video and simultaneously sending the separated video to the corresponding auditing systems respectively;
and (3) a screen auditing system: the image auditing system is used for receiving the image video sent by the sound-image separation system, correspondingly auditing the image video by combining with an AI intelligent technology, and before auditing, performing image extraction, image information extraction, auditing element extraction and auditing element feature extraction on the image video, wherein the AI intelligent technology performs feature auditing by combining with a past auditing image element feature library during auditing;
sound auditing system: the sound auditing system is used for receiving the sound file sent by the sound and picture separation system, correspondingly auditing the sound file by combining AI intelligent technology, and before auditing, performing redundant information processing work, characteristic information extraction work, word and word speech recognition work, auditing element extraction work and auditing element characteristic extraction work on the sound file, wherein the AI intelligent technology performs characteristic auditing by combining a speech model library, a language model library and a past auditing sound element characteristic library when auditing work;
result precipitation system: the result analysis system is used for receiving and analyzing the results of the picture auditing system and the sound auditing system, determining whether the video file is approved or not according to the analyzed result, combining an intelligent algorithm and setting an auditing standard, and feeding the auditing result back to the video uploading end;
a file storage system: the file storage system is used for compressing and storing the audited video file data, retaining the uploading information and synchronizing the video file data to the connected cloud terminal according to the day unit.
Preferably, when the central processing system performs security control on the transmission data, the central processing system specifically adopts digital signature security control, verification code security control, serial number security control and data encryption security control, where the data encryption security control specifically is one or a combination of TDE transparent data encryption technology, UDF user-defined function encryption technology or TFE transparent file encryption technology.
Preferably, the sound-picture separation system specifically adopts one or a combination of several of Camdasia Studio2019, spleteter or PR.
Preferably, the specific establishment process in the past review picture element feature library and the past review sound element feature library is as follows: (1) the method comprises the following steps Taking the past abnormal auditing video as a training material, and simultaneously extracting the characteristics of the training material; (2) the method comprises the following steps Carrying out nerve training on the extracted characteristic information, and simultaneously obtaining an audit database; (3) the method comprises the following steps And storing the audit database.
Preferably, the AI intelligence technology in the picture auditing system and the sound auditing system is implemented by a method of feature coincidence comparison during auditing, and the feature coincidence comparison is implemented by one or a combination of a vector space model algorithm, an SVD algorithm, an LSI algorithm or an LDA algorithm.
Preferably, in the result analysis system, the setting of the auditing standard is performed manually, and the specific setting of the auditing standard is set according to the standard specified by the multimedia platform.
Preferably, the cloud end in the video temporary storage system and the file storage system specifically includes one or a combination of several of a telecommunication cloud, a unicom cloud, a self-owned cloud, and a google cloud.
Compared with the prior art, the invention has the beneficial effects that: 1. the sound and picture separation system is used for separating sound and picture from the video to obtain a picture file and a sound file, and then the two files are respectively checked, so that the phenomenon that the data processing amount is too large due to the fact that the sound and the picture are checked simultaneously can be avoided, the system breakdown condition is caused, the sound and the picture can be synchronously checked with the acute sound and the picture after separation, the checking efficiency is greatly improved, and certain progress is brought to the video checking rate of the multimedia software;
2. the picture video is correspondingly audited by combining the picture auditing system with the AI intelligent technology and the past audit picture element feature library, and the sound auditing system is correspondingly audited by combining the AI intelligent technology with the voice model library, the language model library and the past audit sound element feature library, so that violation points can be quickly and accurately found and separated out compared with the conventional manual audit, thereby greatly reducing the auditing cost and further reducing the investment of economic cost;
3. the video file data are compressed and stored through the file storage system, the uploading information is reserved, and the video file data are synchronized to the connected cloud terminal according to the day unit, so that the video file data can be timely provided when the source needs to be traced in the follow-up process, and the passive tracing condition is avoided.
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 specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
In the drawings:
fig. 1 is a block diagram of an intelligent auditing system for multimedia software video uploading according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments; all other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides a technical solution: an intelligent multimedia software video uploading auditing system comprises a central processing system, wherein the central processing system is used for carrying out safety control and transmission control on all transmission data in the intelligent multimedia software video uploading auditing system;
video temporary storage system: the video temporary storage system is used for receiving videos needing to be uploaded, compressing the videos, then temporarily storing the videos according to transmission time sequence, sending the videos according to the sequence, and connected with the cloud end;
sound picture separation system: the sound and picture separation system is used for correspondingly decompressing the video sent by the video temporary storage system, then separating the sound and picture of the decompressed video and simultaneously sending the separated video to the corresponding auditing systems respectively;
and (3) a picture auditing system: the image auditing system is used for receiving the image video sent by the sound-image separation system, correspondingly auditing the image video by combining the AI intelligent technology, and before auditing, performing image extraction, image information extraction, auditing element extraction and auditing element feature extraction on the image video, and performing feature auditing by combining the AI intelligent technology with a past auditing image element feature library during auditing;
sound auditing system: the sound auditing system is used for receiving the sound file sent by the sound and picture separation system, correspondingly auditing the sound file by combining AI intelligent technology, and before auditing, performing redundant information processing work, characteristic information extraction work, word and speech recognition work, auditing element extraction work and auditing element characteristic extraction work on the sound file, and performing characteristic auditing by combining a speech model library, a language model library and a past auditing sound element characteristic library by the AI intelligent technology when auditing work;
result precipitation system: the result analysis system is used for receiving and analyzing the results of the picture auditing system and the sound auditing system, determining whether the video file is approved or not according to the analyzed result, combining an intelligent algorithm and setting an auditing standard, and feeding the auditing result back to the video uploading end;
a file storage system: the file storage system is used for compressing and storing the audited video file data, retaining the uploading information and synchronizing the video file data to the connected cloud terminal according to the day as a unit.
When the central processing system performs security control on the transmission data, the central processing system specifically adopts digital signature security control, verification code security control, serial number security control and data encryption security control, wherein the data encryption security control is specifically one or a combination of more of a TDE transparent data encryption technology, a UDF user-defined function encryption technology or a TFE transparent file encryption technology; the sound and picture separation system specifically adopts one or a combination of more of Camdasia Studio2019, spleteter or PR; the specific establishing process in the past auditing picture element characteristic library and the past auditing sound element characteristic library is as follows: (1) the method comprises the following steps Taking the past abnormal audit video as a training material, and simultaneously extracting the characteristics of the training material; (2) the method comprises the following steps Carrying out nerve training on the extracted characteristic information, and simultaneously obtaining an audit database; (3) the method comprises the following steps Storing the audit database; the AI intelligent technology in the picture auditing system and the sound auditing system is carried out by adopting a method of characteristic coincidence comparison during auditing, wherein the characteristic coincidence comparison specifically adopts one or a combination of a vector space model algorithm, an SVD algorithm, an LSI algorithm or an LDA algorithm; in the result analysis system, the setting of the auditing standard is manually carried out, and the specific setting of the auditing standard is set according to the specified standard of the multimedia platform; the cloud end in the video temporary storage system and the file storage system specifically comprises one or a combination of a plurality of telecommunication clouds, a Unicom cloud, a self-owned cloud or a google cloud.
The working principle is as follows: after videos needing to be uploaded and checked are received by the video temporary storage system, the videos are compressed, sorted according to uploading time and sent according to a sorting sequence, when the videos are checked, firstly, sound and picture separation is carried out on the videos through a sound and picture separation system, so that picture files and sound files are obtained, and then, the two files are respectively checked, so that overlarge data processing amount caused by simultaneous checking of the sound and the pictures can be avoided, the system breakdown condition can be caused, the checking of acute sound and the pictures can be synchronized after the sound and the pictures are separated, the checking efficiency is greatly improved, and certain progress is brought to the video checking rate of multimedia software; the picture video is correspondingly audited through the combination of the picture audit system and the AI intelligent technology and the past audit picture element feature library, and the sound audit system is correspondingly audited through the combination of the AI intelligent technology and the voice model library, the language model library and the past audit sound element feature library, so that compared with the conventional manual audit, the violation points can be quickly and accurately found and are separated out, the audit cost is greatly reduced, and the investment of economic cost is reduced; the results of the picture auditing system and the sound auditing system are received and separated out through the result separating system, whether the video file is approved or not is determined according to the separated results by combining an intelligent algorithm and setting auditing standards, the auditing results are fed back to the video uploading end, the video file data are compressed and stored through the file storage system, uploading information is reserved, the video file data are synchronized to the connected cloud end according to the day unit, and therefore the video file data can be timely provided when the source needs to be traced in the follow-up process, and the passive tracing condition is avoided.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. An intelligent auditing system for multimedia software video uploading is characterized in that: the system comprises a central processing system, a video acquisition and processing system and a video processing system, wherein the central processing system is used for carrying out safety control and transmission control on all transmission data in the multimedia software video uploading intelligent auditing system;
video temporary storage system: the video temporary storage system is used for receiving videos needing to be uploaded, meanwhile, compressing the videos, then temporarily storing the videos according to transmission time sequence, and meanwhile, sending the videos according to the sequence, and is connected with the cloud end;
sound picture separation system: the sound and picture separation system is used for correspondingly decompressing the video sent by the video temporary storage system, then separating sound and picture of the decompressed video and simultaneously sending the separated video to the corresponding auditing system respectively;
and (3) a screen auditing system: the image auditing system is used for receiving the image video sent by the sound-image separation system, correspondingly auditing the image video by combining an AI intelligent technology, and before auditing, performing image extraction, image information extraction, auditing element extraction and auditing element feature extraction on the image video, wherein the AI intelligent technology performs feature auditing by combining a past auditing image element feature library during auditing;
the sound auditing system comprises: the sound auditing system is used for receiving the sound file sent by the sound and picture separation system, correspondingly auditing the sound file by combining AI intelligent technology, and before auditing, performing redundant information processing work, characteristic information extraction work, word and word speech recognition work, auditing element extraction work and auditing element characteristic extraction work on the sound file, wherein the AI intelligent technology performs characteristic auditing by combining a speech model library, a language model library and a past auditing sound element characteristic library when auditing work;
result precipitation system: the result analysis system is used for receiving and analyzing the results of the picture auditing system and the sound auditing system, determining whether the video file is approved or not according to the analyzed result, combining an intelligent algorithm and setting an auditing standard, and feeding the auditing result back to the video uploading end;
a file storage system: the file storage system is used for compressing and storing the audited video file data, retaining the uploading information and synchronizing the video file data to the connected cloud terminal according to the day unit.
2. The system for intelligently auditing video uploading of multimedia software according to claim 1, characterized by: when the central processing system performs security control on the transmission data, the central processing system specifically adopts digital signature security control, verification code security control, serial number security control and data encryption security control, wherein the data encryption security control is specifically one or a combination of more of a TDE transparent data encryption technology, a UDF user-defined function encryption technology or a TFE transparent file encryption technology.
3. The system for intelligently auditing video uploading of multimedia software according to claim 1, characterized by: the sound and picture separation system specifically adopts one or a combination of more of Camtasia Studio2019, spleteter or PR.
4. The system for intelligently auditing video uploading of multimedia software according to claim 1, characterized by: the specific establishing process of the past audit picture element feature library and the past audit sound element feature library is as follows: (1) the method comprises the following steps Taking the past abnormal audit video as a training material, and simultaneously extracting the characteristics of the training material; (2) the method comprises the following steps Carrying out nerve training on the extracted characteristic information, and simultaneously obtaining an audit database; (3) the method comprises the following steps And storing the audit database.
5. The system for intelligently auditing video uploading of multimedia software according to claim 1, characterized by: the AI intelligent technology in the picture auditing system and the sound auditing system is carried out by adopting a method of characteristic coincidence comparison during auditing, and the characteristic coincidence comparison is carried out by adopting one or a combination of a vector space model algorithm, an SVD algorithm, an LSI algorithm or an LDA algorithm.
6. The system for intelligently auditing video upload of multimedia software according to claim 1, characterized in that: in the result analysis system, the setting of the auditing standards is manually carried out, and the specific setting of the auditing standards is set according to the specified standards of the multimedia platform.
7. The system for intelligently auditing video uploading of multimedia software according to claim 1, characterized by: the video temporary storage system and the cloud end in the file storage system specifically comprise one or a combination of a plurality of telecom clouds, unicom clouds, own clouds or google clouds.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211116307.9A CN115297360A (en) | 2022-09-14 | 2022-09-14 | Intelligent auditing system for multimedia software video uploading |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211116307.9A CN115297360A (en) | 2022-09-14 | 2022-09-14 | Intelligent auditing system for multimedia software video uploading |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115297360A true CN115297360A (en) | 2022-11-04 |
Family
ID=83834504
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211116307.9A Pending CN115297360A (en) | 2022-09-14 | 2022-09-14 | Intelligent auditing system for multimedia software video uploading |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115297360A (en) |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002080530A2 (en) * | 2001-03-30 | 2002-10-10 | Koninklijke Philips Electronics N.V. | System for parental control in video programs based on multimedia content information |
| CN101035281A (en) * | 2007-04-19 | 2007-09-12 | 鲍东山 | Classified content auditing system |
| US20080270569A1 (en) * | 2007-04-25 | 2008-10-30 | Miovision Technologies Incorporated | Method and system for analyzing multimedia content |
| CN104410872A (en) * | 2014-11-04 | 2015-03-11 | 深圳市同洲电子股份有限公司 | Method and device for checking video sources |
| CN108124191A (en) * | 2017-12-22 | 2018-06-05 | 北京百度网讯科技有限公司 | A kind of video reviewing method, device and server |
| CN109495766A (en) * | 2018-11-27 | 2019-03-19 | 广州市百果园信息技术有限公司 | A kind of method, apparatus, equipment and the storage medium of video audit |
| CN110418161A (en) * | 2019-08-02 | 2019-11-05 | 广州虎牙科技有限公司 | Video reviewing method and device, electronic equipment and readable storage medium storing program for executing |
| CN113630625A (en) * | 2021-08-04 | 2021-11-09 | 北京凌壹世纪科技有限公司 | Video distribution system and video distribution method |
| WO2021237570A1 (en) * | 2020-05-28 | 2021-12-02 | 深圳市欢太科技有限公司 | Image auditing method and apparatus, device, and storage medium |
| CN113887432A (en) * | 2021-09-30 | 2022-01-04 | 瑞森网安(福建)信息科技有限公司 | Video auditing method and system |
| CN113920085A (en) * | 2021-10-09 | 2022-01-11 | 焦点科技股份有限公司 | Automatic auditing method and system for product display video |
| CN114025224A (en) * | 2021-11-18 | 2022-02-08 | 甘肃欧美亚信息科技有限公司 | Network video traceability system based on deep learning |
| CN114189709A (en) * | 2021-11-12 | 2022-03-15 | 北京天眼查科技有限公司 | Method and device for auditing video, storage medium and electronic equipment |
-
2022
- 2022-09-14 CN CN202211116307.9A patent/CN115297360A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002080530A2 (en) * | 2001-03-30 | 2002-10-10 | Koninklijke Philips Electronics N.V. | System for parental control in video programs based on multimedia content information |
| CN101035281A (en) * | 2007-04-19 | 2007-09-12 | 鲍东山 | Classified content auditing system |
| US20080270569A1 (en) * | 2007-04-25 | 2008-10-30 | Miovision Technologies Incorporated | Method and system for analyzing multimedia content |
| CN104410872A (en) * | 2014-11-04 | 2015-03-11 | 深圳市同洲电子股份有限公司 | Method and device for checking video sources |
| CN108124191A (en) * | 2017-12-22 | 2018-06-05 | 北京百度网讯科技有限公司 | A kind of video reviewing method, device and server |
| CN109495766A (en) * | 2018-11-27 | 2019-03-19 | 广州市百果园信息技术有限公司 | A kind of method, apparatus, equipment and the storage medium of video audit |
| CN110418161A (en) * | 2019-08-02 | 2019-11-05 | 广州虎牙科技有限公司 | Video reviewing method and device, electronic equipment and readable storage medium storing program for executing |
| WO2021237570A1 (en) * | 2020-05-28 | 2021-12-02 | 深圳市欢太科技有限公司 | Image auditing method and apparatus, device, and storage medium |
| CN113630625A (en) * | 2021-08-04 | 2021-11-09 | 北京凌壹世纪科技有限公司 | Video distribution system and video distribution method |
| CN113887432A (en) * | 2021-09-30 | 2022-01-04 | 瑞森网安(福建)信息科技有限公司 | Video auditing method and system |
| CN113920085A (en) * | 2021-10-09 | 2022-01-11 | 焦点科技股份有限公司 | Automatic auditing method and system for product display video |
| CN114189709A (en) * | 2021-11-12 | 2022-03-15 | 北京天眼查科技有限公司 | Method and device for auditing video, storage medium and electronic equipment |
| CN114025224A (en) * | 2021-11-18 | 2022-02-08 | 甘肃欧美亚信息科技有限公司 | Network video traceability system based on deep learning |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102082816B1 (en) | Method for improving the resolution of streaming files | |
| CN108833973B (en) | Video feature extraction method and device and computer equipment | |
| US10349125B2 (en) | Method and apparatus for enabling a loudness controller to adjust a loudness level of a secondary media data portion in a media content to a different loudness level | |
| CN106601243B (en) | Video file identification method and device | |
| CN107943811B (en) | Content publishing method and device | |
| US9984728B2 (en) | Video content alignment | |
| US20100021070A1 (en) | Communication device and image classification method thereof | |
| CN111274442B (en) | Method for determining video tag, server and storage medium | |
| WO2023197979A1 (en) | Data processing method and apparatus, and computer device and storage medium | |
| CN110881115B (en) | Strip splitting method and system for conference video | |
| US10469905B2 (en) | Video asset classification | |
| CN108595422B (en) | Method for filtering bad multimedia messages | |
| CN109408672B (en) | Article generation method, article generation device, server and storage medium | |
| CN107590150A (en) | Video analysis implementation method and device based on key frame | |
| CN111914649A (en) | Face recognition method and device, electronic equipment and storage medium | |
| CN113705300A (en) | Method, device and equipment for acquiring phonetic-to-text training corpus and storage medium | |
| CN113992970A (en) | Video data processing method and device, electronic equipment and computer storage medium | |
| CN114625918A (en) | Video recommendation method, device, equipment, storage medium and program product | |
| CN115580758A (en) | Video content generation method and device, electronic equipment and storage medium | |
| CN112200078A (en) | Corpus data set generation method and system based on video intelligent analysis | |
| CN113301382B (en) | Video processing method, device, medium, and program product | |
| CN113992973A (en) | Video abstract generation method and device, electronic equipment and storage medium | |
| CN103916677B (en) | A kind of advertisement video recognition methods and device | |
| CN115297360A (en) | Intelligent auditing system for multimedia software video uploading | |
| CN109977891A (en) | A kind of object detection and recognition method neural network based |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |