activity
20182021
most citedHybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

108 citations · 116 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV20211 cited

A Graph-based approach to derive the geodesic distance on Statistical manifolds: Application to Multimedia Information Retrieval

Zakariae Abbad, Ahmed Drissi El Maliani, Said Ouatik El Alaoui +1

In this paper, we leverage the properties of non-Euclidean Geometry to define the Geodesic distance (GD) on the space of statistical manifolds. The Geodesic distance is a real and…

cs.SI2020

Extracting Backbones in Weighted Modular Complex Networks

Zakariya Ghalmane, Chantal Cherifi, Hocine Cherifi +1

Network science provides effective tools to model and analyze complex systems. However, the increasing size of real-world networks becomes a major hurdle in order to understand the…

cs.MM2019108 cited

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Mohamed Hamidi, Mohamed El Haziti, Hocine Cherifi +1

In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms tha…

cs.MM20195 cited

Blind Robust 3-D Mesh Watermarking based on Mesh Saliency and QIM quantization for Copyright Protection

Mohamed Hamidi, Aladine Chetouani, Mohamed El Haziti +2

Due to the recent demand of 3-D models in several applications like medical imaging, video games, among others, the necessity of implementing 3-D mesh watermarking schemes aiming t…

cs.CR20192 cited

A Robust Blind 3-D Mesh Watermarking technique based on SCS quantization and mesh Saliency for Copyright Protection

Mohamed Hamidi, Aladine Chetouani, Mohamed El Haziti1 +2

Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others,…

cs.LG2019

Movienet: A Movie Multilayer Network Model using Visual and Textual Semantic Cues

Youssef Mourchid, Benjamin Renoust, Olivier Roupin +3

Discovering content and stories in movies is one of the most important concepts in multimedia content research studies. Network models have proven to be an efficient choice for thi…