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International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
21-23 March 2016
Showing 1-25 of 157
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Advanced Technologies for Signal and Image Processing (ATSIP), 2016 2nd International Conference on
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Big data integration: A semantic mediation architecture using summary
Aicha Aggoune;Abdelkrim Bouramoul;Mohamed-Khiereddine Kholladi
Publication Year: 2016,Page(s):21 - 25
Cited by: Papers (2)
This paper presents our semantic mediation architecture for homogeneously retrieving data from big data. The architecture is split into three layers to find relevant answers of this data. In the proposed ontology-based approach, we use our domain ontology on alimentation risks field as well as a global schema of mediator and we apply the summarization process based on ontology for describes part o...Show More
Anomaly detection through outlier and neighborhood data in Wireless Sensor Networks
Publication Year: 2016,Page(s):26 - 30
Cited by: Papers (16)
Anomaly detection through finding outlier measurements is an important issue for monitoring application using a large databases gathered by Wireless Sensor Network (WSN) like medicine and military. In this paper, we evaluate a detection of outliers based on the distance between the current measurement and its neighbors. Our detailed evaluation supports a synthetic database generated with random va...Show More
Improvement of satellite image classification: Approach based on Hadoop/MapReduce
Publication Year: 2016,Page(s):31 - 34
Cited by: Papers (15)
The revolution of technologies (social networks, smartphones, GPS and Remote Sensing Image) increase the volume of informations wich makes humanity in new need “Storage of huge volume of data”. the traditional strategy to store data become problem for humanity and then this need build new art to resolve this problems the “Spatial Big Data (SBD)” SBD store proncipally three types of data:vector dat...Show More
Towards large scale image similarity discovery model
Publication Year: 2016,Page(s):1 - 9
Cited by: Papers (2)
The paper introduces to the digitization and features extraction processes of large volume of imaging documents and stored as images using mechanisms of big data and cloud technology. So, layout analysis, image representation, feature extraction and transformation huge amount of the prepared document images are presented in this paper. Accordingly, an efficient way reliable and highly clustering f...Show More
Composition of web services using multi agent based planning with high availability of web services
Publication Year: 2016,Page(s):10 - 15
Cited by: Papers (1)
The composition of web services can meet the needs of increasingly complex user by combining multiple distributed web services, which may be unavailable or inaccessible. The automatic planning can be exploited to dynamically compose web services. In this paper, we propose a model of web services composition based on multi-agent planning that integrates automatic substitution process based on commu...Show More
Robust and blind watermarking approach based on modified Delaunay triangulation
Publication Year: 2016,Page(s):16 - 20
The development of the World Wide Web has not only facilitated the digital data processing and transmission but also has led to ease the illegal distribution and reproduction of digital multimedia online. Several techniques have been proposed to limit the illegal use of transmitted data such as steganography, cryptography and watermarking techniques. The watermarking approach consists in embedding...Show More
Randomized poly-encryption image exploiting a new hyper-chaotic system
Publication Year: 2016,Page(s):69 - 76
This paper proposes a new four-dimensional hyperchaotic map based on the lorenz system to realize hyper-chaotic encryption in higher dimension and improve the security. The hyper-chaotic sequences generated by the new method used to generate key sequences. The key sequences are used for image encryption. The security test results indicate that the new hyperchaotic system has high security and comp...Show More
Software application for simulation-based AES, RSA and elliptic-curve algorithms
Publication Year: 2016,Page(s):77 - 82
Cited by: Papers (5)
In this paper we represent a developing work in an advanced algorithm for image encryption. First, we have programmed a flexible encrypting algorithms based on AES, RSA and elliptic-curves methods for text encrypting. Second, we have integrated this algorithms to encrypt compressed images. Finally we have provided a fair comparison between the three most famous encryption algorithms: AES, RSA and ...Show More
Towards a new numbering-combinations-based coder for image compression and transmission over a noisy channel
Publication Year: 2016,Page(s):83 - 87
The image compression has always been one of the competitive fields of studies. It aims to represent an image in a minimal size in bytes without compromising the image quality. Our method; the numbering combinations method, consists on calculating all the possible combinations of the pixels and associate an index to our image through all the mentioned combinations. This index is a unique identifie...Show More
Quantitative evaluation of chaotic CBC mode of operation
Abdessalem Abidi;Qianxue Wang;Belgacem Bouallègue;Mohsen Machhout;Christophe Guyeux
Publication Year: 2016,Page(s):88 - 92
Cited by: Papers (3)
The cipher block chaining (CBC) block cipher mode of operation presents a very popular way of encrypting which is used in various applications. In our previous research work, we have mathematically proven that, under some conditions, this mode of operation can admit a chaotic behavior according to Devaney. In this paper, we have developed the quantitative study of this chaotic CBC mode of operatio...Show More
Privacy protection and security in eHealth cloud platform for medical image sharing
Publication Year: 2016,Page(s):93 - 96
Cited by: Papers (8)
Sharing medical images in public cloud can greatly help physician in their daily practice by allowing them to reach a diagnostic more quickly. However, such images are sensitive and need to be protected. In the current literature, the security aspects of this issue are well studied but the privacy aspects and especially the linkability problem is under estimated. In this paper, we propose two mech...Show More
Image encryption with the AES algorithm in wireless sensor network
Publication Year: 2016,Page(s):41 - 45
Cited by: Papers (7)
The growth of multimedia applications in wireless sensor network requires more efficient data storage and transmission techniques. In addition, when it comes to wireless sensor network, we mainly focus several constraints. Among which the materials resources where a wireless sensor network consists of several small size devices called nodes sensors. Thus, the second challenge we face is the hostil...Show More
Generating a hyper-chaotic system from 3D chaotic behaivor
Publication Year: 2016,Page(s):46 - 51
Cited by: Papers (1)
In the past studies, researchers have always produced new hyper-chaotic systems without explaining how to add the fourth equation in the 3D system. In this paper, we are interested in searching a link between the 3D and 4D system through which it designs a hyper-chaotic system 4D. We have constructed new hyper-chaotic systems by adding another state variable in the chaotic dynamical systems to the...Show More
Statistical robust watermarking for 3D mesh models based on salient points
Publication Year: 2016,Page(s):52 - 56
Cited by: Papers (3)
We propose in this paper, a robust blind watermarking algorithm for 3D mesh models by embedding bits of signature in distributions of vertex norms. Using the Fast Marching Method (FMM), we define regions on the mesh according to a reference location. This robust source location are selected by the salient point detector based on Auto Diffusion Function (ADF). We show that robustness against croppi...Show More
On Elliptic Curve Cryptography implementations and evaluation
Nejmeddine Alimi;Younes Lahbib;Mohsen Machhout;Rached Tourki
Publication Year: 2016,Page(s):35 - 40
Elliptic Curve Cryptography have known, in recent years, an increasing success in security applications thanks to their advantages such as a short keys size with a high security level. Their popularity has led to various implementations in terms of algorithms, curves, coordinate systems, platforms, etc. The aim of this work is first to explore actual trends of ECC-based implementations in differen...Show More
A new SMS encryption algorithm based on hyperchaotic system
Publication Year: 2016,Page(s):57 - 62
Cited by: Papers (2)
Encryption is an outstanding way that professionals and unprofessional rely on to protect their fragile data mobile devices. Nowadays, we notice a high trend of mobile devices usage whether on a professional or daily basis. Hence, the security of the exchanged and saved data in our smartphones, tablets, laptops etc. is a leading case for both user and producer. As the majority of SMS encryption ap...Show More
A new hybrid encryption technique permuting text and image based on hyperchaotic system
Publication Year: 2016,Page(s):63 - 68
Cited by: Papers (4)
This paper proposes a new hybrid technique for combined encryption text and image based on hyperchaos system. Since antiquity, man has continued looking for ways to send messages to his correspondents in order to communicate with them safely. It needed, through successive epochs, both physical and intellectual efforts in order to find an effective and appropriate communication technique. On anothe...Show More
Segmentation of low-grade gliomas in MRI: Phase based method
R. Zaouche;A. Belaid;S. Aloui;B. Solaiman;A. Bounceur;D. Ben Salem;S. Sid-Ahmed;S. Tliba
Publication Year: 2016,Page(s):97 - 102
Segmentation of gliomas in magnetic resonance imaging (MRI) images is a crucial task for early tumor diagnosis and surgical planning. Although many methods for brain tumor segmentation exist, the improvement of this process is still difficult. Indeed, MRI images show complex characteristics and the different tumor tissues are difficult to distinguish from the normal brain tissues; especially the l...Show More
The influence of preprocessing steps on functional connectivity in resting state fMRI
Fatma Gargouri;Sebastien Delphine;Stéphane Lehéricy;Ahmed Ben Hamida
Publication Year: 2016,Page(s):103 - 107
Cited by: Papers (4)
Resting-state functional MRI (rs-fMRI) is an imaging technique providing the possibility to analyze the functional connectivity patterns of the human brain [1]. Functional connectivity can be evaluated through different methodologies. We can find for example Independent Component Analysis (ICA), Seed-based, Graph Theory (GT), etc. [2] [3]. In this study, we presented a several preprocessing strate...Show More
Multi-scale and Non Local Mean based filter for Positron Emission Tomography imaging denoising
Hajer Jomaa;Rostom Mabrouk;Frédéric Morain-Nicolier;Nawres Khlifa
Publication Year: 2016,Page(s):108 - 112
Cited by: Papers (7)
Dynamic Positron Emission Tomography (PET) is a functional imaging modality which provides information about tracer kinetic in a specific target. In the last three decades, the [18F]-fluorodeoxyglucose ([18F]-FDG) tracer has been widely used by many institutions to measure the local myocardium metabolic rate for glucose. The analysis of the dynamic measurements requires, often, parameters estimati...Show More
A classification approach to prostate cancer localization in 3T multi-parametric MRI
Rania Trigui;Johel Miteran;Lamia Sellami;Paul Walker;Ahmed Ben Hamida
Publication Year: 2016,Page(s):113 - 118
Cited by: Papers (11)
Multiparametric-magnetic resonance imaging (mp-MRI) has demonstrated, in many studies, its potential in prostate cancer detection and analysis. We propose a supervised classification approach based on mp-MRI data base of 20 patients, in order to localize prostate cancer and to achieve a cartographic representation of the prostate voxels based on classification results. Proposed method provides a c...Show More
A comparative study of motion estimation algorithms in cardiac ultrasound sequences
Publication Year: 2016,Page(s):119 - 124
Cited by: Papers (1)
Quantitative analysis and motion estimation of the moving organs, as the heart and lungs, is one of the main objectives pursued in analysis of medical images. In fact, cardiac motion estimation has been widely used with the segmentation to evaluate the cardiac function and a various approaches of motion estimation have been proposed. In this paper, a comparative study of myocardial motion estimati...Show More
Dynamic reconfigurable architecture for adaptive DCT implementation
Marwa Hannachi;Hassan Rabah;Abdessalem Ben Abdelali;Abdellatif Mtibaa
Publication Year: 2016,Page(s):189 - 193
Cited by: Papers (3)
In this paper, we propose a reconfigurable architecture for discrete cosine transform (DCT) computation. The objective of the paper is to integrate the DCT computation in a complete embedded system based on ARM processors. Based on dynamic partial reconfigurable FPGAs, different versions of DCT computation are used to give adaptability and flexibility to the architecture. These adaptability respon...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Advanced Technologies for Signal and Image Processing (ATSIP), 2016 2nd International Conference on
- Print on DemandPurchase at Partner
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