Building a Statistical Model to Detect Foreground Objects and using it in Video Steganography
Video steganography has become a popular option for protecting secret data from hacking attempts and common attacks on the internet. However, when the whole video frame(s) are used to embed secret data, this may lead to visual distortion. This work is an attempt to hide sensitive secret image insid...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
College of Science for Women, University of Baghdad
2023-12-01
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| Series: | Baghdad Science Journal |
| Subjects: | |
| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7926 |
| _version_ | 1797434822169198592 |
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| author | Mithal Hadi Jebur Fanar Ali Joda Mohammed Abdullah Naser |
| author_facet | Mithal Hadi Jebur Fanar Ali Joda Mohammed Abdullah Naser |
| author_sort | Mithal Hadi Jebur |
| collection | DOAJ |
| description |
Video steganography has become a popular option for protecting secret data from hacking attempts and common attacks on the internet. However, when the whole video frame(s) are used to embed secret data, this may lead to visual distortion. This work is an attempt to hide sensitive secret image inside the moving objects in a video based on separating the object from the background of the frame, selecting and arranging them according to object's size for embedding secret image. The XOR technique is used with reverse bits between the secret image bits and the detected moving object bits for embedding. The proposed method provides more security and imperceptibility as the moving objects are used for embedding, so it is difficult to notice the changes in the moving objects instead of using background area for embedding in the video. The experimental results showed the better visual quality of the stego video with PSNR values exceeding 58 dB, this indicates that the proposed method works without causing much distortion in the original video and transmitted secret message.
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| first_indexed | 2024-03-09T10:38:26Z |
| format | Article |
| id | doaj.art-30b520e4ceb441059ae1470cecc86af9 |
| institution | Directory Open Access Journal |
| issn | 2078-8665 2411-7986 |
| language | Arabic |
| last_indexed | 2024-03-09T10:38:26Z |
| publishDate | 2023-12-01 |
| publisher | College of Science for Women, University of Baghdad |
| record_format | Article |
| series | Baghdad Science Journal |
| spelling | doaj.art-30b520e4ceb441059ae1470cecc86af92023-12-01T20:00:31ZaraCollege of Science for Women, University of BaghdadBaghdad Science Journal2078-86652411-79862023-12-0120610.21123/bsj.2023.7926Building a Statistical Model to Detect Foreground Objects and using it in Video SteganographyMithal Hadi Jebur0Fanar Ali Joda1Mohammed Abdullah Naser2Department of Computer Science, College of Science for Women, University of Babylon, Babylon, Iraq.Department of Air Conditioning and Refrigeration Techniques Engineering, Al-Mustaqbal University College, Babylon, Iraq.Department of Computer Science, College of Science for Women, University of Babylon, Babylon, Iraq. Video steganography has become a popular option for protecting secret data from hacking attempts and common attacks on the internet. However, when the whole video frame(s) are used to embed secret data, this may lead to visual distortion. This work is an attempt to hide sensitive secret image inside the moving objects in a video based on separating the object from the background of the frame, selecting and arranging them according to object's size for embedding secret image. The XOR technique is used with reverse bits between the secret image bits and the detected moving object bits for embedding. The proposed method provides more security and imperceptibility as the moving objects are used for embedding, so it is difficult to notice the changes in the moving objects instead of using background area for embedding in the video. The experimental results showed the better visual quality of the stego video with PSNR values exceeding 58 dB, this indicates that the proposed method works without causing much distortion in the original video and transmitted secret message. https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7926Video Steganography, LSB, Embedding Secret Image, Extracting Secret Image, XOR Coding, Moving Object Detection |
| spellingShingle | Mithal Hadi Jebur Fanar Ali Joda Mohammed Abdullah Naser Building a Statistical Model to Detect Foreground Objects and using it in Video Steganography Baghdad Science Journal Video Steganography, LSB, Embedding Secret Image, Extracting Secret Image, XOR Coding, Moving Object Detection |
| title | Building a Statistical Model to Detect Foreground Objects and using it in Video Steganography |
| title_full | Building a Statistical Model to Detect Foreground Objects and using it in Video Steganography |
| title_fullStr | Building a Statistical Model to Detect Foreground Objects and using it in Video Steganography |
| title_full_unstemmed | Building a Statistical Model to Detect Foreground Objects and using it in Video Steganography |
| title_short | Building a Statistical Model to Detect Foreground Objects and using it in Video Steganography |
| title_sort | building a statistical model to detect foreground objects and using it in video steganography |
| topic | Video Steganography, LSB, Embedding Secret Image, Extracting Secret Image, XOR Coding, Moving Object Detection |
| url | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7926 |
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