Pornography object detection using Viola-Jones algorithm and skin detection

Pornography can be an image that contains obscenity or sexual exploitation, so unwittingly can damage human morals, especially for children who are certainly not old enough. This is an important task for the community in dealing with, handling, or avoiding this negative character of pornography. One...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ICICoS : 2017 1st International Conference on Informatics and Computational Sciences : Santika Premiere Hotel, Semarang, Central Java, Indonesia, 15-16 November 2017 S. 29 - 34
Hauptverfasser: Wiratama, Muhammad R., Endah, Sukmawati N., Kusumaningrum, Retno, Wibawa, Helmie A.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.11.2017
Schlagworte:
Breast
Classification algorithms
detection
Detectors
Image color analysis
Object detection
Pornography
Skin
skin detection
Training
Viola-Jones algorithm
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract Pornography can be an image that contains obscenity or sexual exploitation, so unwittingly can damage human morals, especially for children who are certainly not old enough. This is an important task for the community in dealing with, handling, or avoiding this negative character of pornography. One prevention in order to avoid pornography is to create application to detect pornography object. The method used in this application are Viola-Jones algorithm and skin detection. In the process, this application produced Region of Interest (ROI) from the process of detecting pornography object using the Viola-Jones pornography object detector, and the ROI is further processed into the skin detection stage. The test results show that this application has been able to detect pornography objects from an image with test accuracy value reaching 78.29% and the best parameters of pornography object detector training is False Alarm Rate parameter with value 0.05 and Number of Stages parameter with value 10.
AbstractList Pornography can be an image that contains obscenity or sexual exploitation, so unwittingly can damage human morals, especially for children who are certainly not old enough. This is an important task for the community in dealing with, handling, or avoiding this negative character of pornography. One prevention in order to avoid pornography is to create application to detect pornography object. The method used in this application are Viola-Jones algorithm and skin detection. In the process, this application produced Region of Interest (ROI) from the process of detecting pornography object using the Viola-Jones pornography object detector, and the ROI is further processed into the skin detection stage. The test results show that this application has been able to detect pornography objects from an image with test accuracy value reaching 78.29% and the best parameters of pornography object detector training is False Alarm Rate parameter with value 0.05 and Number of Stages parameter with value 10.
Author Endah, Sukmawati N.
Kusumaningrum, Retno
Wibawa, Helmie A.
Wiratama, Muhammad R.
Author_xml – sequence: 1
  givenname: Muhammad R.
  surname: Wiratama
  fullname: Wiratama, Muhammad R.
  organization: Department of Informatics/Computer Science, Universitas Diponegoro, Semarang, Indonesia
– sequence: 2
  givenname: Sukmawati N.
  surname: Endah
  fullname: Endah, Sukmawati N.
  organization: Department of Informatics/Computer Science, Universitas Diponegoro, Semarang, Indonesia
– sequence: 3
  givenname: Retno
  surname: Kusumaningrum
  fullname: Kusumaningrum, Retno
  organization: Department of Informatics/Computer Science, Universitas Diponegoro, Semarang, Indonesia
– sequence: 4
  givenname: Helmie A.
  surname: Wibawa
  fullname: Wibawa, Helmie A.
  organization: Department of Informatics/Computer Science, Universitas Diponegoro, Semarang, Indonesia
BookMark eNpFj8tqwzAURFVooW3qL8hGP-BUV5Ila1lMH24DKfSxDTey7Ch1pGC5i_x9DA10dWAYzjC35DLE4AiZA1sAMHNfV3W1-lhwBnpRcq2EEBckM7qEQpSKGSbENclS2jHGwKhSMH5D3t7jEGI34GF7pHGzc3akjRsn-Bjob_Kho98-9pi_TmuJYt_FwY_bPcXQ0PTjw3_9jly12CeXnTkjX0-Pn9VLvlw919XDMvegizG3xiLqFngDwpZgECSC1RulmHKygbYtGCg9hZJJp6G0rZQKubVWWt6gmJH5n9c759aHwe9xOK7Pl8UJMFNPYA
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICICOS.2017.8276333
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE/IET Electronic Library (IEL) (UW System Shared)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISBN 9781538609033
1538609037
EndPage 34
ExternalDocumentID 8276333
Genre orig-research
GroupedDBID 6IE
6IF
6IK
6IL
6IN
AAJGR
AAWTH
ABLEC
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
IEGSK
OCL
RIE
RIL
ID FETCH-LOGICAL-i175t-c9caa7f12d13c819a14a1c7b6606e4d1ff501674a1404e718cf446a2ccc4c2da3
IEDL.DBID RIE
ISICitedReferencesCount 3
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000428164000006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Aug 27 02:51:29 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i175t-c9caa7f12d13c819a14a1c7b6606e4d1ff501674a1404e718cf446a2ccc4c2da3
PageCount 6
ParticipantIDs ieee_primary_8276333
PublicationCentury 2000
PublicationDate 2017-Nov.
PublicationDateYYYYMMDD 2017-11-01
PublicationDate_xml – month: 11
  year: 2017
  text: 2017-Nov.
PublicationDecade 2010
PublicationTitle ICICoS : 2017 1st International Conference on Informatics and Computational Sciences : Santika Premiere Hotel, Semarang, Central Java, Indonesia, 15-16 November 2017
PublicationTitleAbbrev ICICOS
PublicationYear 2017
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0001968302
Score 1.6563823
Snippet Pornography can be an image that contains obscenity or sexual exploitation, so unwittingly can damage human morals, especially for children who are certainly...
SourceID ieee
SourceType Publisher
StartPage 29
SubjectTerms Breast
Classification algorithms
detection
Detectors
Image color analysis
Object detection
Pornography
Skin
skin detection
Training
Viola-Jones algorithm
Title Pornography object detection using Viola-Jones algorithm and skin detection
URI https://ieeexplore.ieee.org/document/8276333
WOSCitedRecordID wos000428164000006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFH4B4sETKhh_pwePFui6rduZSCQaJFEJN9K1b7iomxnDv9-2TIiJF2_N0qXZe2m-vR_f9wCuMRxo8xeQ0IGMU2oQH2nsYUg5oi2asShxkkKzBzGZRPN5PG3AzZYLg4iu-Qx7dulq-bpQa5sq60eeuQ2cN6EpRLjhau3yKXFopaxqYSE2iPvj4Xj4-GS7t0SvfvPXCBWHIKP2_84-gO6OikemW5A5hAbmR9D-mcVA6qvZgftpUea1_DQpEptdIRor12iVE9vdviSzzMSx1KnzE_m-LMqsev0gMtdk9Zblu-1deBndPg_vaD0ogWYG_SuqYiWlSJmnGVcG4iXzJVMiCU10gr5maRo4toG0Wjpo0EilJgqUnlLKV56W_BhauTn8BEhqPtxWO43TuB_IMMFICO0HXsIDK05_Ch1rm8XnRgtjUZvl7O_H57Bvzb_h7l1AqyrXeAl76qvKVuWVc-A3mPec9g
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LTwIxEJ4gmugJFYxve_BogX3vnokEAiKJSLiRbjsLG3XXLIu_37ZUiIkXb03TTdNOmm_n8X0DcI9-W8i_gJi2WZRQifhIIxt96iCqpJkVxlpSaDoMRqNwNovGFXjYcmEQURefYVMNdS5f5HytQmWt0JavwXH2YF91zjJsrV1EJfKVmJWRFrLaUavf6XeeX1T9VtA03_5qoqIxpFv73-7H0NiR8ch4CzMnUMHsFGo_3RiIeZx1GIzzIjMC1CSPVXyFCCx1qVVGVH37gkxT6clSrc9P2PsiL9Jy-UFYJsjqLc12yxvw2n2cdHrUtEqgqcT_kvKIMxYkli0sh0uQZ5bLLB7EvvRP0BVWkniab8CUmg5KPOKJ9AOZzTl3uS2YcwbVTG5-DiSRB1f5Tmk2x_WYH2MYBML17NjxlDz9BdTV3cw_N2oYc3Mtl39P38Fhb_I0nA_7o8EVHClTbJh811AtizXewAH_KtNVcauN-Q31T6A_
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=ICICoS+%3A+2017+1st+International+Conference+on+Informatics+and+Computational+Sciences+%3A+Santika+Premiere+Hotel%2C+Semarang%2C+Central+Java%2C+Indonesia%2C+15-16+November+2017&rft.atitle=Pornography+object+detection+using+Viola-Jones+algorithm+and+skin+detection&rft.au=Wiratama%2C+Muhammad+R.&rft.au=Endah%2C+Sukmawati+N.&rft.au=Kusumaningrum%2C+Retno&rft.au=Wibawa%2C+Helmie+A.&rft.date=2017-11-01&rft.pub=IEEE&rft.spage=29&rft.epage=34&rft_id=info:doi/10.1109%2FICICOS.2017.8276333&rft.externalDocID=8276333