Hiding information in videos using motion clues of feature points

Hashemzadeh, Mahdi

doi:10.1016/j.compeleceng.2018.03.046

Cited by 25 publications

(29 citation statements)

References 12 publications

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“…As shown in Table IV (Part III), the proposed method outperforms the method presented in [31] in terms of average value of PSNR rate. Although the method presented in [31] is better than the proposed method when "Suzie" video is used but the differences between them is too little, which is 1.2643 dB.…”

Section: Comparisons With Other Approachesmentioning

confidence: 80%

“…M. Hashem Zadeh [31] recommended an efficient approach for video steganography based on the salient and dynamic areas of a cover video. His algorithm identifies the dynamic regions based on motion clues of the feature points where the areas of interest are determined consequently.…”

Section: Related Workmentioning

confidence: 99%

“…In this section, the perceptual invisibility and the embedding capacity of the proposed method were compared with the proposed methods in the literature. The methods presented in [27]- [31] were chosen for comparison with the proposed method in terms of PSNR rate. To make the comparison fair, we used the same videos as those used in the methods presented in [27]- [31].…”

Section: Comparisons With Other Approachesmentioning

confidence: 99%

“…The methods presented in [27]- [31] were chosen for comparison with the proposed method in terms of PSNR rate. To make the comparison fair, we used the same videos as those used in the methods presented in [27]- [31]. Tables IV (Part I and Part II) list the PSNR rates obtained by the methods presented in [27]- [30] and the proposed method.…”

Section: Comparisons With Other Approachesmentioning

confidence: 99%

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A New Video Steganography Scheme Based on Shi-Tomasi Corner Detector

et al. 2020

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Recent developments in the speed of the Internet and information technology have made the rapid exchange of multimedia information possible. However, these developments in technology lead to violations of information security and private information. Digital steganography provides the ability to protect private information that has become essential in the current Internet age. Among all digital media, digital video has become of interest to many researchers due to its high capacity for hiding sensitive data. Numerous video steganography methods have recently been proposed to prevent secret data from being stolen. Nevertheless, these methods have multiple issues related to visual imperceptibly, robustness, and embedding capacity. To tackle these issues, this paper proposes a new approach to video steganography based on the corner point principle and LSBs algorithm. The proposed method first uses Shi-Tomasi algorithm to detect regions of corner points within the cover video frames. Then, it uses 4-LSBs algorithm to hide confidential data inside the identified corner points. Besides, before the embedding process, the proposed method encrypts confidential data using Arnold's cat map method to boost the security level. Experimental results revealed that the proposed method is highly secure and highly invisible, in addition to its satisfactory robustness against Salt & Pepper noise, Speckle noise, and Gaussian noise attacks, which has an average Structural Similarity Index (SSIM) of more than 0.81. Moreover, the results showed that the proposed method outperforms state-of-the-art methods in terms of visual imperceptibility, which offers excellent peak signalto-noise ratio (PSNR) of average 60.7 dB, maintaining excellent embedding capacity.

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Section: Comparisons With Other Approachesmentioning

confidence: 80%

Section: Related Workmentioning

confidence: 99%

Section: Comparisons With Other Approachesmentioning

confidence: 99%

Section: Comparisons With Other Approachesmentioning

confidence: 99%

See 2 more Smart Citations

A New Video Steganography Scheme Based on Shi-Tomasi Corner Detector

et al. 2020

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“…The experimental results shows superior performance in security and quality of the files used. A video steganography method suggested by Mahdi Hashemzadeh [2] uses motion clues of feature points technique of data hiding. The intention of this approach is to show high performance over embedding capacity and imperceptibility of hidden data.…”

Section: Dual Protectıon For Data Usıng Steganographıcmentioning

confidence: 99%

Dual Protectıon for Data usıng Steganographıc Technıques with Embedded Framework

Kowshika,

Geetha

2019

IJEAT

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As the world is getting digitalized, the rush for need of secured data communication is overtop. Provoked by the vulnerability of human visual system to understand the progressive changes in the scenes, a new steganography method is proposed. The paper represents a double protection methodology for secured transmission of data. The original data is hidden inside a cover image using LSB substitution algorithm. The image obtained is inserted inside a frame of the video producing a stego-video. Stego-video attained is less vulnerable to attacks. After decryption phase, the original text is obtained which is error-free and the output image obtained is similar as the cover image. The quality of stego-video is high and there is no need for additional bandwidth for transmission. The hardware implement is required in order to calculate the corresponding analytical results. The proposed algorithm is examined and realized for various encryption standards using Raspberry Pi3 embedded hardware. The results obtained focuses on the attributes of the proposed model. On comparing with other conventional algorithms, the proposed scheme exhibits high performance in both encryption and decryption process with increase in efficiency of secured data communication.

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Digital Video Steganography: An Overview

Kumar

Soundrapandiyan

2022

Lecture Notes on Data Engineering and Communications Technologies

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Hiding information in videos using motion clues of feature points

Cited by 25 publications

References 12 publications

A New Video Steganography Scheme Based on Shi-Tomasi Corner Detector

A New Video Steganography Scheme Based on Shi-Tomasi Corner Detector

Dual Protectıon for Data usıng Steganographıc Technıques with Embedded Framework

Digital Video Steganography: An Overview

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