scholarly journals RETRACTED ARTICLE: Robust and efficient image watermarking technology in big multimedia data environmental

2017 ◽  
Vol 79 (13-14) ◽  
pp. 9681-9681
Author(s):  
Hu Zhen-tao ◽  
Zepeng Wang
Keyword(s):  
Image Watermarking ◽  
Multimedia Data ◽  
Retracted Article ◽  
Big Multimedia Data

scholarly journals RETRACTED ARTICLE: Color image watermarking in big multimedia data applications

2018 ◽  
Vol 77 (12) ◽  
pp. 16001-16001 ◽  
Author(s):  
Ju Zhu ◽  
Chao Xiong ◽  
Hongwei Du ◽  
Ruxi Xiang ◽  
Yuan Li
Keyword(s):  
Color Image ◽  
Image Watermarking ◽  
Multimedia Data ◽  
Color Image Watermarking ◽  
Retracted Article ◽  
Big Multimedia Data

scholarly journals RETRACTED ARTICLE: Image-based reversible data hiding algorithm toward big multimedia data

2018 ◽  
Vol 77 (12) ◽  
pp. 15997-15997 ◽  
Author(s):  
Chao Xiong ◽  
Yuan Li ◽  
Ruxi Xiang ◽  
Ju Zhu
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Multimedia Data ◽  
Retracted Article ◽  
Big Multimedia Data

scholarly journals Image Watermarking Approach Using LSB and Laplacian Filter

2021 ◽  
Vol 2129 (1) ◽  
pp. 012015
Author(s):  
N Imran ◽  
S Hameed ◽  
Z Hafeez ◽  
Z Faheem ◽  
M Waseem ◽  
...  
Keyword(s):  
Digital Image ◽  
Information Technologies ◽  
Image Watermarking ◽  
Multimedia Data ◽  
Least Significant Bit ◽  
Rapid Changes ◽  
Laplacian Filter ◽  
Derivative Filter ◽  
Video And Audio ◽  
High Payload

Abstract With the growth of information technologies, E-industry safety has recently become the mutual attention of education and business firms. Digital image watermarking is a technique that refers to the security of multimedia data. It is a process referred to the security and authentication of a digital image, video, and audio by embedding a watermark. Watermarking technique applies a number of variable editions to the host content, where the addition is related to embed information. In the past, researchers develop multiple simple watermarking techniques, today race is to find a region where the watermark is imperceptible and have a high payload. In this paper, an invisible image watermarking technique based on the least significant bit (LSB) and laplacian filter is proposed. The original image is divided into blocks and the laplacian filter is applied on each block. Laplacian is a derivative filter that uses the second derivate to find out the area of rapid changes in the image and the least significant bit is a technique to embed a watermark into the bit positions. Watermark is embedded on these regions which is favourable in achieving high desirable properties. This technique shows strong robustness against image processing and geometrical attacks. In evaluation with state of art methods, the proposed technique shows satisfactory progress.

scholarly journals Mitigation of Geometrical Attack in Digital Image Watermarking using Different Transform Based Functions

2019 ◽  
Vol 8 (9) ◽  
pp. 3387-3396
Keyword(s):  
Digital Watermarking ◽  
Value Of Information ◽  
Image Watermarking ◽  
Multimedia Data ◽  
Digital Data ◽  
Data Loss ◽  
Digital Multimedia ◽  
Fast Processing ◽  
Current Scenario ◽  
Geometrical Attack

The illegal act of digital multimedia data loss the value of information and integrity. The loss of information and integrity born the process of piracy of digital data. The piracy of digital data loss the brand value of documents and products. For the prevention of piracy used the digital watermarking technique. The digital watermarking techniques provide copyright protection and increase the value of brands — Watermarking techniques used in various fields such as image, video, audio, and text. The process of watermarking techniques proceeds in two manners spatial domain and frequency domain. The processing of frequency based watermarking techniques is roughest and fast processing of watermarking. Now in the current scenario, various transform function is used for the embedding process of watermarking techniques. In this approach present the studied of digital watermarking techniques based-on different transform function such as DCT, DWT, FFT, and many more transform function. The transform function based watermarking techniques faced a problem of geometrical attack. The Geometrical attack deforms the watermark and gets information. The prevention of watermarking techniques against the Geometrical attacks is a big challenge for the researcher in the field of digital watermarking.

scholarly journals A Review of Infrastructures to Process Big Multimedia Data

2017 ◽  
Vol 7 (3) ◽  
pp. 54-64 ◽  
Author(s):  
Jaime Salvador ◽  
Zoila Ruiz ◽  
Jose Garcia-Rodriguez
Keyword(s):  
Machine Learning ◽  
Parallel Computing ◽  
Relevant Information ◽  
Multimedia Data ◽  
Classification Techniques ◽  
Challenges And Opportunities ◽  
Big Multimedia Data

In the last years, the volume of information is growing faster than ever before, moving from small to huge, structured to unstructured datasets like text, image, audio and video. The purpose of processing the data is aimed to extract relevant information on trends, challenges and opportunities; all these studies with large volumes of data. The increase in the power of parallel computing enabled the use of Machine Learning (ML) techniques to take advantage of the processing capabilities offered by new architectures on large volumes of data. For this reason, it is necessary to find mechanisms that allow classify and organize them to facilitate to the users the extraction of the required information. The processing of these data requires the use of classification techniques that will be reviewed. This work analyzes different studies carried out on the use of ML for processing large volumes of data (Big Multimedia Data) and proposes a classification, using as criteria, the hardware infrastructures used in works of machine learning parallel approaches applied to large volumes of data.

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