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13th International Conference on Computer and Knowledge Engineering
Lossless Watermarking in Encrypted Triangular Mesh Models Based on Optimized Vertex Estimation and Error Histogram Shifting
Authors :
Alireza Ghaemi
1
Habibollah Danyali
2
Kamran Kazemi
3
Zahra Qodrati
4
Amirhossein Ghaemi
5
Seyedeh Masoumeh Taji
6
1- Shiraz University of Technology
2- Shiraz University of Technology
3- Shiraz University of Technology
4- Shiraz University of Technology
5- Shiraz University of Technology
6- Shiraz University of Technology
Keywords :
Reversible Data Hiding،Cryptography
Abstract :
Abstract— In this paper a reversible method is proposed for inserting extra information into the encrypted three-dimensional mesh models. These models can be practical when observing a shape from different angles is important. Three-dimensional models can also be utilized in deep fake and hologram technologies. The proposed method is based on optimized vertex estimation. For this purpose, central vertices are predicted in the hexagons. Then estimation error analysis is carried out to develop sharp error histograms. Finally, the obtained error histograms are shifted to embed the extra information into the encrypted carrier. Different experiments have been carried out to evaluate the performance of the proposed method. Obtained results have been compared with other related schemes and indicate the superiority of the proposed method in comparison with other works.
Papers List
List of archived papers
Reversible Data Insertion in Encryption Domain Based on Reduced Quad Difference Expansion
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Explainable Error Detection Method for Structured Data using HoloDetect framework
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Deep Deterministic Policy Gradient in Acoustic To Articulatory inversion
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A Comprehensive Dataset of Real-scene Images for Text Detection and Recognition in Persian
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Brain Age Estimation with Twin Vision Transformer using Hippocampus Information Applicable to Alzheimer Dementia Diagnosis
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Classification of COVID-19 and Nodule in CT Images using Deep Convolutional Neural Network
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Optimal PMU Placement Considering Reliability of Measurement System in Smart Grids
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Lempel-Ziv-based Hyper-Heuristic Solution for Longest Common Subsequence Problem
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Enhancing EEG-based BCI Performances by Reducing Covariate Shift via Adaptive Multi-Domain Feature Extraction
Moein Radman - Reza Arghand - Nader Nariman-Zadeh - Ali Chaibakhsh
Leveraging a structure-based and learning-based predictor using various feature groups in bioinformatics (case study: protein-peptide region residue-level interaction)
Shima Shafiee - Abdolhossein Fathi
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