CN105659254A - Method and system for recognizing images for video software - Google Patents
Method and system for recognizing images for video software Download PDFInfo
- Publication number
- CN105659254A CN105659254A CN201580001365.9A CN201580001365A CN105659254A CN 105659254 A CN105659254 A CN 105659254A CN 201580001365 A CN201580001365 A CN 201580001365A CN 105659254 A CN105659254 A CN 105659254A
- Authority
- CN
- China
- Prior art keywords
- image range
- video
- video file
- colourity
- close
- 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
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000003909 pattern recognition Methods 0.000 claims description 11
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 230000002688 persistence Effects 0.000 description 1
- 238000002601 radiography Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
- G06V20/42—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
Abstract
The invention discloses a method and system for recognizing images for video software. The method comprises following steps: receiving an original video file; performing chroma analysis to the original video file and selecting an image scope which has chroma that is similar to human skin color; comparing multiple frames of the image scope with similar skin color and determining whether the image scope moves or not; if the image scope moves, then the video file is shielded. The technical scheme provided by the invention has an advantage of image recognition.
Description
Technical field
The present invention relates to image domains, particularly relate to method and the system of pattern recognition in a kind of video software.
Background technology
The various technology that a series of static image is caught in the way of electrical signal, notes down, processes, stores, transmits and reappears by video (Video) general reference. Continuous print image change every second more than more than 24 frames (frame) picture time, according to visual persistence principle, people's eye cannot distinguish the tableaux of single width; Looking it is level and smooth continuous print vision effect, such continuous print picture is called video. Video technology is develop in order to TV system the earliest, but has developed into various different form now and got off by videograph in order to human consumer. The prosperity of network technology also impels the record fragment of video to be present on Internet with the form of streaming media and can be received by computer and play. Video belongs to different technology from film, and the latter utilizes gamma radiography to be a series of static photo by dynamic image capturing.
H.264 existing video format has, the multiple form such as MPEG-4, MPEG-6, image cannot be identified by existing video software automatically, makes a lot of video file to be screened by file like this, causes some indecency videos (such as pornographic, violence) to spread unchecked at network.
Summary of the invention
The application provides the method for pattern recognition in a kind of video software. It solves the shortcoming that file cannot be screened by the video software of prior art.
On the one hand, it is provided that a kind of method of pattern recognition in video software, described method comprises the steps:
Receive video original text part;
Video original text part is carried out the analysis of colourity, filters out the image range that colourity is close with human body complexion;
The image range that the colour of skin of multiframe is close is compared and obtains whether this image range moves, as this image range moves, then by this video file screen.
Optionally, described method also comprises:
As this image range does not move, then will not process this video file.
Optionally, described method also comprises:
The identification information of this video file is uploaded to high in the clouds put on record.
On the other hand, it is provided that the system of pattern recognition in a kind of video software, described system comprises:
Receive unit, for receiving video original text part;
Analytical unit, for video original text part carries out the analysis of colourity, filters out the image range that colourity is close with human body complexion;
Screen unit, compares for the image range that the colour of skin to multiframe is close and obtains whether this image range moves, as this image range moves, then by this video file screen.
Optionally, described system also comprises:
Processing unit, does not move for such as this image range, then will not process this video file.
Optionally, described system also comprises:
Send unit, put on record for the identification information of this video file is uploaded to high in the clouds.
Video file can effectively be screened by technical scheme provided by the invention, so it has the advantage identified by image.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme of the embodiment of the present invention, below the accompanying drawing used required in embodiment being described is briefly described, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
The schema of the coding/decoding method of a kind of video software that Fig. 1 provides for the present invention first better embodiment;
The structure iron of the decode system of a kind of video software that Fig. 2 provides for the present invention the 2nd better embodiment.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is the present invention's part embodiment, instead of whole embodiments. Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
Please refer to Fig. 1, Fig. 1 is the method for pattern recognition in a kind of video software of proposing of the present invention first better embodiment, and the method is performed by computer, and the method as shown in Figure 1, comprises the steps:
Step S101, reception video original text part;
Step S102, the analysis that video original text part carries out colourity, filter out the image range that colourity is close with human body complexion;
Whether step S103, this image range of acquisition of the image range that the colour of skin of multiframe is close being compared move, as this image range moves, then by this video file screen.
Method provided by the invention knows the image range close with human body complexion by color contrast, determines whether for indecency video it is then determined that whether this image range moves, so it has the advantage of pattern recognition and shielding.
Optionally, aforesaid method can also comprise after step s 103:
As this image range does not move, then will not process this video file.
Optionally, aforesaid method can also comprise after step s 103:
The identification information of this video file is uploaded to high in the clouds put on record.
Please refer to Fig. 2, Fig. 2 is the system of pattern recognition in a kind of video software of proposing of the present invention the 2nd better embodiment, and this system is performed by computer, and this system as shown in Figure 2, comprising:
Receive unit 201, for receiving video original text part;
Analytical unit 202, for video original text part carries out the analysis of colourity, filters out the image range that colourity is close with human body complexion;
Screen unit 203, compares for the image range that the colour of skin to multiframe is close and obtains whether this image range moves, as this image range moves, then by this video file screen.
Method provided by the invention knows the image range close with human body complexion by color contrast, determines whether for indecency video it is then determined that whether this image range moves, so it has the advantage of pattern recognition and shielding.
Optionally, said system can also comprise:
Processing unit 204, does not move for such as this image range, then will not process this video file.
Optionally, said system can also comprise:
Send unit 205, put on record for the identification information of this video file is uploaded to high in the clouds.
It should be noted that, for each embodiment of the method aforesaid, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by the restriction of described sequence of operation, because according to the present invention, certain some step can adopt other orders or carry out simultaneously. Secondly, those skilled in the art also should know, the embodiment described in specification sheets all belongs to preferred embodiment, and involved action and module might not be that the present invention is necessary.
In the above-described embodiments, the description of each embodiment is all emphasized particularly on different fields, the part not having a detailed description in certain embodiment, it is possible to see the associated description of other embodiments.
The all or part of step that one of ordinary skill in the art will appreciate that in the various methods of above-described embodiment can be completed by the hardware that program carrys out instruction relevant, this program can be stored in a computer-readable recording medium, storage media can comprise: flash disk, read-only storage are (English: Read-OnlyMemory, be called for short: ROM), random access device (English: RandomAccessMemory, RAM), disk or CD etc. be called for short:.
The content download method embodiment of the present invention provided above and relevant equipment, system are described in detail, apply specific case herein the principle of the present invention and enforcement mode to have been set forth, illustrating just for helping the method understanding the present invention and core concept thereof of above embodiment; Meanwhile, for one of ordinary skill in the art, according to the thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (6)
1. the method for pattern recognition in a video software, it is characterised in that, described method comprises the steps:
Receive video original text part;
Video original text part is carried out the analysis of colourity, filters out the image range that colourity is close with human body complexion;
The image range that the colour of skin of multiframe is close is compared and obtains whether this image range moves, as this image range moves, then by this video file screen.
2. method according to claim 1, it is characterised in that, described method also comprises:
As this image range does not move, then will not process this video file.
3. method according to claim 1, it is characterised in that, described method also comprises:
The identification information of this video file is uploaded to high in the clouds put on record.
4. the system of pattern recognition in a video software, it is characterised in that, described system comprises:
Receive unit, for receiving video original text part;
Analytical unit, for video original text part carries out the analysis of colourity, filters out the image range that colourity is close with human body complexion;
Screen unit, compares for the image range that the colour of skin to multiframe is close and obtains whether this image range moves, as this image range moves, then by this video file screen.
5. system according to claim 4, it is characterised in that, described system also comprises:
Processing unit, does not move for such as this image range, then will not process this video file.
6. system according to claim 4, it is characterised in that, described system also comprises:
Send unit, put on record for the identification information of this video file is uploaded to high in the clouds.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2015/099032 WO2017107209A1 (en) | 2015-12-25 | 2015-12-25 | Method and system for image recognition in video software |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105659254A true CN105659254A (en) | 2016-06-08 |
Family
ID=56491800
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201580001365.9A Pending CN105659254A (en) | 2015-12-25 | 2015-12-25 | Method and system for recognizing images for video software |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN105659254A (en) |
WO (1) | WO2017107209A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017107209A1 (en) * | 2015-12-25 | 2017-06-29 | 王晓光 | Method and system for image recognition in video software |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100215268A1 (en) * | 2009-02-20 | 2010-08-26 | Samsung Electronics Co., Ltd. | Method and apparatus for determining sexual content in moving image content |
CN102236796A (en) * | 2011-07-13 | 2011-11-09 | Tcl集团股份有限公司 | Method and system for sorting defective contents of digital video |
CN103312770A (en) * | 2013-04-19 | 2013-09-18 | 无锡成电科大科技发展有限公司 | Method for auditing resources of cloud platform |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1332357C (en) * | 2004-04-06 | 2007-08-15 | 中国科学院自动化研究所 | Sensitive video frequency detection based on kinematic skin division |
CN100367294C (en) * | 2005-06-23 | 2008-02-06 | 复旦大学 | Method for dividing human body skin area from color digital images and video graphs |
CN101051344B (en) * | 2006-04-04 | 2010-05-12 | 王谦 | Sensitive video frequency identifying method based on light stream direction histogram and skin color stream form variation |
CN101441717B (en) * | 2007-11-21 | 2010-12-08 | 中国科学院计算技术研究所 | Method and system for detecting eroticism video |
CN101364263A (en) * | 2008-09-28 | 2009-02-11 | 腾讯科技(深圳)有限公司 | Method and system for detecting skin texture to image |
CN102073841B (en) * | 2009-11-20 | 2012-08-01 | 中国移动通信集团广东有限公司 | Poor video detection method and device |
CN102201064A (en) * | 2010-03-25 | 2011-09-28 | 北京中星微电子有限公司 | Method and device for filtering sensitive video |
CN103366160A (en) * | 2013-06-28 | 2013-10-23 | 西安交通大学 | Objectionable image distinguishing method integrating skin color, face and sensitive position detection |
CN104951742B (en) * | 2015-03-02 | 2018-06-22 | 北京奇艺世纪科技有限公司 | The detection method and system of objectionable video |
WO2017107209A1 (en) * | 2015-12-25 | 2017-06-29 | 王晓光 | Method and system for image recognition in video software |
-
2015
- 2015-12-25 WO PCT/CN2015/099032 patent/WO2017107209A1/en active Application Filing
- 2015-12-25 CN CN201580001365.9A patent/CN105659254A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100215268A1 (en) * | 2009-02-20 | 2010-08-26 | Samsung Electronics Co., Ltd. | Method and apparatus for determining sexual content in moving image content |
CN102236796A (en) * | 2011-07-13 | 2011-11-09 | Tcl集团股份有限公司 | Method and system for sorting defective contents of digital video |
CN103312770A (en) * | 2013-04-19 | 2013-09-18 | 无锡成电科大科技发展有限公司 | Method for auditing resources of cloud platform |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2017107209A1 (en) * | 2015-12-25 | 2017-06-29 | 王晓光 | Method and system for image recognition in video software |
Also Published As
Publication number | Publication date |
---|---|
WO2017107209A1 (en) | 2017-06-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10949952B2 (en) | Performing detail enhancement on a target in a denoised image | |
CN110933490B (en) | Automatic adjustment method for picture quality and tone quality, smart television and storage medium | |
CN106254933B (en) | Subtitle extraction method and device | |
CN107871303B (en) | Image processing method and device | |
CN110853033A (en) | Video detection method and device based on inter-frame similarity | |
US10015445B1 (en) | Room conferencing system with heat map annotation of documents | |
CN107203763B (en) | Character recognition method and device | |
WO2017024901A1 (en) | Video transcoding method and device | |
CN105745921A (en) | Conference recording method and system for video network conference | |
CN110866473B (en) | Target object tracking detection method and device, storage medium and electronic device | |
US11348254B2 (en) | Visual search method, computer device, and storage medium | |
CN107770487B (en) | Feature extraction and optimization method, system and terminal equipment | |
CN111160340B (en) | Moving object detection method and device, storage medium and terminal equipment | |
CN110582021B (en) | Information processing method and device, electronic equipment and storage medium | |
CN105659254A (en) | Method and system for recognizing images for video software | |
CN109598195B (en) | Method and device for processing clear face image based on monitoring video | |
CN113313635A (en) | Image processing method, model training method, device and equipment | |
US20140307116A1 (en) | Method and system for managing video recording and/or picture taking in a restricted environment | |
KR102534270B1 (en) | Apparatus and method for providing meta-data | |
CN106303366B (en) | Video coding method and device based on regional classification coding | |
Chittapur et al. | Exposing digital forgery in video by mean frame comparison techniques | |
CN111339367B (en) | Video processing method and device, electronic equipment and computer readable storage medium | |
JPWO2019150649A1 (en) | Image processing device and image processing method | |
CN115035530A (en) | Image processing method, image text obtaining method, device and electronic equipment | |
CN114500879A (en) | Video data processing method, device, equipment and storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160608 |