High capacity information hiding for privacy protection in digital video files
In this paper, a framework to hide privacy in video is proposed based on data hiding principals. A novel data hiding technique is proposed and implemented to hide the original frame into the in-painted one. The proposed hiding technique is carried out in the discrete wavelet transform domain of the...
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Veröffentlicht in: | Neural computing & applications 2017-12, Vol.28 (Suppl 1), p.91-95 |
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description | In this paper, a framework to hide privacy in video is proposed based on data hiding principals. A novel data hiding technique is proposed and implemented to hide the original frame into the in-painted one. The proposed hiding technique is carried out in the discrete wavelet transform domain of the cover video. The proposed technique is embedding video into video. Furthermore, the proposed data hiding method can blindly reconstruct the original frame from the fake one. Experimental results showed that the proposed method can successfully hide the complete frames of the original video into their corresponding in-painted ones that are as large as themselves. Simple visual inspection of the results showed that the quality of the stego-frames maintain very high (above 45 dB) while providing an acceptable visual quality for the retrieved original frames. |
doi_str_mv | 10.1007/s00521-016-2323-7 |
format | Article |
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A novel data hiding technique is proposed and implemented to hide the original frame into the in-painted one. The proposed hiding technique is carried out in the discrete wavelet transform domain of the cover video. The proposed technique is embedding video into video. Furthermore, the proposed data hiding method can blindly reconstruct the original frame from the fake one. Experimental results showed that the proposed method can successfully hide the complete frames of the original video into their corresponding in-painted ones that are as large as themselves. Simple visual inspection of the results showed that the quality of the stego-frames maintain very high (above 45 dB) while providing an acceptable visual quality for the retrieved original frames.</description><subject>Acceptable noise levels</subject><subject>Artificial Intelligence</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computational Science and Engineering</subject><subject>Computer Science</subject><subject>Data Mining and Knowledge Discovery</subject><subject>Discrete Wavelet Transform</subject><subject>Frames (data processing)</subject><subject>Image Processing and Computer Vision</subject><subject>Original Article</subject><subject>Privacy</subject><subject>Probability and Statistics in Computer Science</subject><subject>Protective coatings</subject><subject>Wavelet transforms</subject><issn>0941-0643</issn><issn>1433-3058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1UMtKAzEUDaJgrX6Au4DraO7kMZmlFLVC0Y2uQ5rHNKWdqcm00L83dVy4cXXgnse99yB0C_QeKK0fMqWiAkJBkopVjNRnaAKcMcKoUOdoQhteWMnZJbrKeU0p5VKJCXqbx3aFrdkZG4cjjl3o09YMse_wKrrYtbgM8C7Fg7HHgv3g7Q8bO-xiGwezwYfofI9D3Ph8jS6C2WR_84tT9Pn89DGbk8X7y-vscUEsAzkQJallzEpwtTWhhkZwxxomuPFLAcosYalABs65485b4ythVaipY0E0jis2RXdjbrnoa-_zoNf9PnVlpYZG1pyDkKKoYFTZ1OecfNDlka1JRw1Un2rTY2261KZPtem6eKrRk4u2a336k_yv6Rs2vW_7</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Elhadad, Ahmed</creator><creator>Hamad, Safwat</creator><creator>Khalifa, Amal</creator><creator>Ghareeb, A.</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20171201</creationdate><title>High capacity information hiding for privacy protection in digital video files</title><author>Elhadad, Ahmed ; Hamad, Safwat ; Khalifa, Amal ; Ghareeb, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-860c33c61d7caf71954d39354aeb518ab1b816f444d4decae25c8f70d3f59d483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acceptable noise levels</topic><topic>Artificial Intelligence</topic><topic>Computational Biology/Bioinformatics</topic><topic>Computational Science and Engineering</topic><topic>Computer Science</topic><topic>Data Mining and Knowledge Discovery</topic><topic>Discrete Wavelet Transform</topic><topic>Frames (data processing)</topic><topic>Image Processing and Computer Vision</topic><topic>Original Article</topic><topic>Privacy</topic><topic>Probability and Statistics in Computer Science</topic><topic>Protective coatings</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elhadad, Ahmed</creatorcontrib><creatorcontrib>Hamad, Safwat</creatorcontrib><creatorcontrib>Khalifa, Amal</creatorcontrib><creatorcontrib>Ghareeb, A.</creatorcontrib><collection>CrossRef</collection><jtitle>Neural computing & applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elhadad, Ahmed</au><au>Hamad, Safwat</au><au>Khalifa, Amal</au><au>Ghareeb, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High capacity information hiding for privacy protection in digital video files</atitle><jtitle>Neural computing & applications</jtitle><stitle>Neural Comput & Applic</stitle><date>2017-12-01</date><risdate>2017</risdate><volume>28</volume><issue>Suppl 1</issue><spage>91</spage><epage>95</epage><pages>91-95</pages><issn>0941-0643</issn><eissn>1433-3058</eissn><abstract>In this paper, a framework to hide privacy in video is proposed based on data hiding principals. 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subjects | Acceptable noise levels Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Discrete Wavelet Transform Frames (data processing) Image Processing and Computer Vision Original Article Privacy Probability and Statistics in Computer Science Protective coatings Wavelet transforms |
title | High capacity information hiding for privacy protection in digital video files |
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