A new embedding technique based on psychovisual threshold for robust and secure compressed video steganography

Videos are often compressed to reduce storage and transmission payload at the expense of lower quality due to bandwidth-related issues. Most video steganography techniques do not provide robustness against compression technique. Thus, it is vital to develop a steganography technique that can be resi...

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Main Authors: Ferda, Ernawan, Muhammad Fuad, Abdullah
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/30071/
http://umpir.ump.edu.my/id/eprint/30071/1/09231989.pdf
http://umpir.ump.edu.my/id/eprint/30071/7/A%20new%20embedding%20technique%20based%20on%20psychovisual%20threshold%20for%20robust%20.pdf
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author Ferda, Ernawan
Muhammad Fuad, Abdullah
author_facet Ferda, Ernawan
Muhammad Fuad, Abdullah
author_sort Ferda, Ernawan
building UMP Institutional Repository
collection Online Access
description Videos are often compressed to reduce storage and transmission payload at the expense of lower quality due to bandwidth-related issues. Most video steganography techniques do not provide robustness against compression technique. Thus, it is vital to develop a steganography technique that can be resistant against compression. This research proposed a new embedding technique in video steganography based on object motion and modified entropy. The object motions in the video frame were determined by horizontal and vertical motion vectors. The video frames that had object motion were computed by modified entropy. The proposed scheme embedded data along with the object motion by modifying Discrete Cosine Transform (DCT) coefficients in the video frames. Six DCT coefficients were selected in the middle frequency using DCT-psychovisual effects of hiding messages. The experimental results showed that the scheme achieved good robustness of message recovery in terms of Bit Error Rate (BER) and Normalised CrossCorrelation (NC). The recovered message of the proposed steganography scheme can survive video compression,
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institution_category Local University
language English
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publishDate 2020
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spelling ump-300712023-08-16T04:58:00Z http://umpir.ump.edu.my/id/eprint/30071/ A new embedding technique based on psychovisual threshold for robust and secure compressed video steganography Ferda, Ernawan Muhammad Fuad, Abdullah QA75 Electronic computers. Computer science Videos are often compressed to reduce storage and transmission payload at the expense of lower quality due to bandwidth-related issues. Most video steganography techniques do not provide robustness against compression technique. Thus, it is vital to develop a steganography technique that can be resistant against compression. This research proposed a new embedding technique in video steganography based on object motion and modified entropy. The object motions in the video frame were determined by horizontal and vertical motion vectors. The video frames that had object motion were computed by modified entropy. The proposed scheme embedded data along with the object motion by modifying Discrete Cosine Transform (DCT) coefficients in the video frames. Six DCT coefficients were selected in the middle frequency using DCT-psychovisual effects of hiding messages. The experimental results showed that the scheme achieved good robustness of message recovery in terms of Bit Error Rate (BER) and Normalised CrossCorrelation (NC). The recovered message of the proposed steganography scheme can survive video compression, IEEE 2020-08 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/30071/1/09231989.pdf pdf en http://umpir.ump.edu.my/id/eprint/30071/7/A%20new%20embedding%20technique%20based%20on%20psychovisual%20threshold%20for%20robust%20.pdf Ferda, Ernawan and Muhammad Fuad, Abdullah (2020) A new embedding technique based on psychovisual threshold for robust and secure compressed video steganography. In: 33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020 , 29 August - 05 September 2020 , Rome, Italy. pp. 1-5. (9231989). ISSN 2642-4339 ISBN 978-946396800-3 (Published) https://doi.org/10.23919/URSIGASS49373.2020.9231989
spellingShingle QA75 Electronic computers. Computer science
Ferda, Ernawan
Muhammad Fuad, Abdullah
A new embedding technique based on psychovisual threshold for robust and secure compressed video steganography
title A new embedding technique based on psychovisual threshold for robust and secure compressed video steganography
title_full A new embedding technique based on psychovisual threshold for robust and secure compressed video steganography
title_fullStr A new embedding technique based on psychovisual threshold for robust and secure compressed video steganography
title_full_unstemmed A new embedding technique based on psychovisual threshold for robust and secure compressed video steganography
title_short A new embedding technique based on psychovisual threshold for robust and secure compressed video steganography
title_sort new embedding technique based on psychovisual threshold for robust and secure compressed video steganography
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/30071/
http://umpir.ump.edu.my/id/eprint/30071/
http://umpir.ump.edu.my/id/eprint/30071/1/09231989.pdf
http://umpir.ump.edu.my/id/eprint/30071/7/A%20new%20embedding%20technique%20based%20on%20psychovisual%20threshold%20for%20robust%20.pdf