scholarly journals An error resilient scheme of digital watermarking for MP3 streaming audio

2021 ◽  
Author(s):  
Chun Huang
Keyword(s):  
Digital Watermarking ◽  
Packet Loss ◽  
Forward Error Correction ◽  
Digital Watermark ◽  
Recovery Method ◽  
Massive Growth ◽  
Synchronization Problem ◽  
Encryption And Authentication ◽  
Forward Error ◽  
Watermarking Scheme

The recent massive growth of networked multimedia has caused problems relative to the protection of intellectual property rights. This is particularly true to MP3 audio data. These types of protection systems involve the use of both encryption and authentication techniques. In this thesis we describe a form of authentication known as digital watermarking. A novel scheme to embed digital watermark to MP3 music using Quantization Index Modulation (QIM) algorithm is proposed in the thesis. A pseudorandom key is generated as watermark message which is embedded into MDCT coefficients of MP3 directly. At the receiver, the MP3 is decoded partially and the watermark is extracted frame by frame. Furthermore we discuss the recovery method of the watermarking after the watermarked MP3 audio is streamed on the network. Distributing digital watermark on Internet through streaming audio is a challenging task because most digital watermarking algorithm is very sensitive to packet loss due to the associated synchronization problem. On the current Internet, packet loss is almost inevitable since its backbone protocols are operating in best-effort manner and do not guarantee the successful delivery of data packets. Therefore it is very essential to develop a scheme that resists the damage caused by packet loss to audio watermarks. Our robust watermarking scheme can recover the watermarks despite the packets loss (loss rate equal or less than 10%) on the networks. In addition, we integrate the classical Forward Error Correction (FEC) code in our watermarking scheme, which achieves 100% recovery rate when the packet loss is 6%.

scholarly journals An error resilient scheme of digital watermarking for MP3 streaming audio

2021 ◽  
Author(s):  
Chun Huang
Keyword(s):  
Digital Watermarking ◽  
Packet Loss ◽  
Forward Error Correction ◽  
Digital Watermark ◽  
Recovery Method ◽  
Massive Growth ◽  
Synchronization Problem ◽  
Encryption And Authentication ◽  
Forward Error ◽  
Watermarking Scheme

The recent massive growth of networked multimedia has caused problems relative to the protection of intellectual property rights. This is particularly true to MP3 audio data. These types of protection systems involve the use of both encryption and authentication techniques. In this thesis we describe a form of authentication known as digital watermarking. A novel scheme to embed digital watermark to MP3 music using Quantization Index Modulation (QIM) algorithm is proposed in the thesis. A pseudorandom key is generated as watermark message which is embedded into MDCT coefficients of MP3 directly. At the receiver, the MP3 is decoded partially and the watermark is extracted frame by frame. Furthermore we discuss the recovery method of the watermarking after the watermarked MP3 audio is streamed on the network. Distributing digital watermark on Internet through streaming audio is a challenging task because most digital watermarking algorithm is very sensitive to packet loss due to the associated synchronization problem. On the current Internet, packet loss is almost inevitable since its backbone protocols are operating in best-effort manner and do not guarantee the successful delivery of data packets. Therefore it is very essential to develop a scheme that resists the damage caused by packet loss to audio watermarks. Our robust watermarking scheme can recover the watermarks despite the packets loss (loss rate equal or less than 10%) on the networks. In addition, we integrate the classical Forward Error Correction (FEC) code in our watermarking scheme, which achieves 100% recovery rate when the packet loss is 6%.

scholarly journals Unequal loss protection scheme using a quality prediction model in a Wi-Fi broadcasting system

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985424
Author(s):  
Dong Hyun Kim ◽  
Jong Deok Kim
Keyword(s):  
Packet Loss ◽  
Forward Error Correction ◽  
Wireless Local Area Network ◽  
Local Area Network ◽  
Local Area ◽  
Multimedia Data ◽  
Area Network ◽  
Broadcasting System ◽  
Forward Error ◽  
Unequal Loss Protection

Wireless local area network–based broadcasting techniques are a type of mobile Internet Protocol television technology that simultaneously transmits multimedia content to local users. Contrary to the existing wireless local area network–based multimedia transmission systems, which transmit multimedia data to users using unicast packets, a wireless local area network–based broadcasting system is able to transmit multimedia data to many users in a single broadcast packet. Consequently, network resources do not increase with the increase in the number of users. However, IEEE 802.11 does not provide a packet loss recovery algorithm for broadcast packet loss, which is unavoidable. Therefore, the forward error correction technique is required to address the issue of broadcast packet loss. The broadcast packet loss rate of a wireless local area network–based broadcasting system that transmits compressed multimedia data is not proportional to the quality deterioration of the received video signals; therefore, it is difficult to predict the quality of the received video while also considering the effect of broadcast packet loss. In this scenario, allocating equal forward error correction packets to compressed frames is not an effective method for recovering broadcast packet loss. Thus, several studies on unequal loss protection have been conducted. This study proposes an effective, prediction-based unequal loss protection algorithm that can be applied to wireless local area network–based broadcasting systems. The proposed unequal loss protection algorithm adopts a novel approach by adding forward error correction packets to every transmission frame while considering frame loss. This algorithm was used as a new metric to predict video quality deterioration, and an unequal loss protection structure was designed, implemented, and verified. The effectiveness of the quality deterioration model and the validity of the unequal loss protection algorithm were demonstrated through experiments.

Evaluvation of Multiresolution Watermarking Algorithm

2017 ◽  
Vol 7 (8) ◽  
pp. 85
Author(s):  
S. Thabasu Kannan ◽  
S. Azhagu Senthil
Keyword(s):  
Digital Watermarking ◽  
Wavelet Transformation ◽  
Signal To Noise Ratio ◽  
Rapid Development ◽  
Threshold Value ◽  
Discrete Wavelet ◽  
Digital Production ◽  
Common Framework ◽  
Sampling Operation ◽  
Watermarking Scheme

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing.   The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel.  For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

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