Lama Rajab

Hybrid DWT-SVD video watermarking

Video watermarking is a relatively new technology that has been proposed to solve the problem of illegal manipulation and distribution of digital video. By virtue of this technology, copyright information is embedded in the video data to provide ownership verification. In this paper, we propose an effective, robust, and imperceptible video watermarking algorithm. The effectiveness of algorithm is brought by virtue of applying a cascade of two powerful mathematical transforms; the discrete wavelets transform (DWT) and the singular value decomposition (SVD). Reported experimental results demonstrate the effectiveness of the proposed algorithm.

A robust-fragile dual watermarking system in the DCT domain

The evolution for image manipulation tools and the wide distribution of images through the internet have led to the need for image copyright protection and forgery detection tools. In this paper a three models of a Robust-Fragile Dual watermarking system are proposed for the proof of ownership and image authentication. The proposed system has two main stages the embedding stage and the extraction stage. The embedding of the watermarks, which are the biometric signature for the images owner, is done in the DCT domain of the cover image. The proposed system with its three models is tested against attacks and it gives satisfactory results in the three models for robustness and fragility and data payload.

Social media networks and pedagogy at the University of Jordan

This study examined impact of a social media networks course on student use of SNSs performance. Moreover, it examined the associations among course design, course materials, learning experiences and a social media networks course. Survey instrument is used to examine the relationships in the proposed model. A total of 380 questionnaires have been collected from students at the University of Jordan who studied the social media networks course. A structural equation modelling approach based on AMOS 20.0 statistical software is used to study the causal relationships and test the hypotheses between the observed and latent constructs in the proposed research model. The analysis results revealed that course materials and learning experiences directly, positively and significantly impacted the social media networks course, which in turn had a significant impact on students’ use social networks sites performance. Course design, however, did not impact the social media networks course. Our findings have important implications as we demonstrated the validity of the joint two different models and provide information about impact of studying social media networks course on students’ academic performance.