Oblivious Image Watermarking in Discrete Multiwavelet Domain using QIMM

Leelavathy, N.; Prasad, E. V.; Kumar, S. Srinivas; Mohan, B.

doi:10.4304/jmm.6.4.359-368

Cited by 8 publications

(11 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 13 and Table 14 also present the comparative analysis of "Traffic.avi" and "FoxCatcher.mp4" with the selected video watermarking algorithms (Sinha et al, 2011;Sharmai and Swami, 2013;Kala and Thaiyalnayaki, 2013) in terms of BER and NC. From the results in both tables, it is evident that the video embedding algorithm of PSUM (Leelavathy et al, 2011) provides superior performance against median filtering, low-pass filtering, rotation and H.264 compression attacks than the compared algorithms. Thus, the selected fingerprint embedding algorithm satisfies the fingerprint's robustness requirement.…”

Section: Robustness Of Fingerprinted Audio and Video Filesmentioning

confidence: 99%

“…This gives the approximation coefficient matrix in which the pirated code pc ∈ {0, 1} * is embedded. The watermark detection technique (Leelavathy et al, 2011;Xinkai et al, 2013) is applied on the approximation coefficient matrix to extract pc. Then M sends the extracted pc to MO which performs the tracing algorithm of Nuida's codes to identify the colluder(s).…”

Section: Traitor Tracingmentioning

confidence: 99%

“…For comparative purposes, the same ∆ value is selected as used in the PSUM's algorithm (∆ = 1.10). It is evident from the table that the embedding algorithm used in PSUM (Leelavathy et al, 2011) is more transparent than the compared algorithms. Table 11 and Table 12 present the robustness results for two audio files, namely "LoopyMusic.wav" and "Rap.wav", against signal processing attacks such as re-quantization, re-sampling, additive white Gaussian noise (AWGN), amplitude scaling, low and high pass filtering, echo addition and MP3 compression.…”

Section: Transparency Of Fingerprinted Audio and Video Filesmentioning

confidence: 99%

See 2 more Smart Citations

PSUM: Peer-to-peer multimedia content distribution using collusion-resistant fingerprinting

Qureshi

Megías

Rifà-Pous

2016

Journal of Network and Computer Applications

View full text Add to dashboard Cite

The use of peer-to-peer (P2P) networks for multimedia distribution has spread out globally in recent years. The mass popularity is primarily driven by cost-effective distribution of content, also giving rise to piracy. An end user (buyer/peer) of a P2P content distribution system does not want to reveal his/her identity during a transaction with a content owner (merchant), whereas the merchant does not want the buyer to further distribute the content illegally.To date, different P2P distribution systems have been proposed that provide copyright and privacy protection at a cost of high computational burden at the merchants and/or at the buyers end and thus, making these systems impractical.In this paper, we propose PSUM, a P2P content distribution system which allows efficient distribution of large-sized multimedia content while preserving the security and privacy of merchants and buyers. The security of PSUM is ensured by using an asymmetric fingerprinting protocol based on collusion-resistant codes. In addition, PSUM enables buyers to obtain digital contents anonymously, but this anonymity can be revoked as soon as he/she is found guilty of copyright violation. The paper presents a thorough performance analysis of PSUM, through different experiments and simulations, and also analyzes several security compromising attacks and countermeasures.Traditional client-server content distribution systems are dependent on a centralized server which is costly in terms of initial infrastructure investment and maintenance. Moreover, the lack of scalability and the high bandwidth requirements are some factors that degrade the client-server system performance. In contrast to client-server systems, P2P technology offers cost efficiency, scalability, less administrative requirements and exposure to a large number of users. These benefits are the attractive features for media companies towards the adoption of P2P systems. BitTorrent (BT) (BitTorrent, 2000) is one of the most popular P2P distribution systems used on the Internet for distributing large amount of data, and it accounts for a significant volume of Internet traffic. For example, Red Hat Inc. uses Preprint submitted to Elsevier the merchant into a small-sized base file and a large-sized supplementary file. The base file contains the most important information and, without it, the supplementary file is unusable. The merchant sends the base file to a buyer in a semi-centralized way and uses a network of peer buyers to distribute the supplementary file.2. The proposed asymmetric fingerprinting protocol based on a state-of-the-art collusion-resistant codes and an existing secure embedding scheme is performed between a merchant, a buyer and a set of P2P proxies in the presence of a third party (monitor). The proposed fingerprinting protocol (Section 3.4.2) provides significantly improved efficiency over that of similar schemes that have been presented in the past, by using the idea of pre-computation-based secure embedding and permutation. In pre-computation-based secure embe...

show abstract

Section: Robustness Of Fingerprinted Audio and Video Filesmentioning

confidence: 99%

Section: Traitor Tracingmentioning

confidence: 99%

Section: Transparency Of Fingerprinted Audio and Video Filesmentioning

confidence: 99%

See 1 more Smart Citation

PSUM: Peer-to-peer multimedia content distribution using collusion-resistant fingerprinting

Qureshi

Megías

Rifà-Pous

2016

Journal of Network and Computer Applications

View full text Add to dashboard Cite

show abstract

“…In this scheme, the watermark is created using PCA and embedded in the LL and HH components of DWT. In continuation to scene based watermarking and more techniques in transform domain, N. Leelavathy et al [27] have proposed a technique for video watermarking by combining Discrete Multiwavelet Transform (DMWT) with Quantization Index Modulation (QIM) orthogonality. The proposed method is found to be robust against attacks like averaging, frame dropping, swapping, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

An Analysis on Digital Watermarking in Videos based on Frequency Domain Techniques

Yengkhom¹,

Singh²

2015

IJMECS

View full text Add to dashboard Cite

Abstract-As Watermarking have been considered as an emerging technique for copyright protection, data security and protection of ownership, several techniques and algorithms have been developed and created either in spatial domain or frequency domain mainly to achieve the properties of digital watermarking like robustness, imperceptibility, fidelity, etc. It is also found that the frequency domain techniques provides a better solution in obtaining these properties than the spatial domain. So, most researchers have used this domain in developing a good watermarking scheme for achieving robustness and other important properties of digital watermarking against all kinds of intentional and unintentional attacks. The attacks may include image processing attacks like compression, frame dropping, piracy, geometric distortions, loss of quality, etc. So, utmost importance must be given on how to create a scheme which can achieve robustness against all these attacks at the same time. The medium for watermarking is chosen as video because of its vast future scope So, in this paper, a thorough research on the various techniques available in watermarking based on frequency domain has been done to find out a secure technique that can withstand any kinds of attacks in a digital video.

show abstract

“…Results show that the scheme is effective to robustness and imperceptible. Another work that was referred is based on watermarking in scene based which was introduced by Leelavathy et al [2]. DMWT (Discrete Multiwavelet Transform) was used along with Quantization index to embed a watermark in uncompressed part of the video.…”

Section: Related Workmentioning

confidence: 99%

Frequency domain based robust digital watermarking technique for videos

2017

IJLTET

View full text Add to dashboard Cite

Abstract-Watermarking is consider as the most promising and emerging technique for the protection of information. Several schemes have been developed and proposed in frequency domain to achieve robustness, imperceptibility, fidelity, etc. Frequency domain has been used as it provides better robustness than other transform methods. So, in this paper, a watermarking scheme for video is proposed using DWT -SVD and by embedding the watermark in areas where scene changes takes place through the use of RGB space along with some logic. Experimental results proved that the proposed scheme is simple but robust against most of the attacks.

show abstract

Oblivious Image Watermarking in Discrete Multiwavelet Domain using QIMM

Cited by 8 publications

References 31 publications

PSUM: Peer-to-peer multimedia content distribution using collusion-resistant fingerprinting

PSUM: Peer-to-peer multimedia content distribution using collusion-resistant fingerprinting

An Analysis on Digital Watermarking in Videos based on Frequency Domain Techniques

Frequency domain based robust digital watermarking technique for videos

Contact Info

Product

Resources

About