Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Maher El'arbi"'
Image authentication algorithm with recovery capabilities based on neural networks in the DCT domain
Autor:
Chokri Ben Amar, Maher El'arbi
Publikováno v:
IET Image Processing. 8:619-626
In this study, the authors propose an image authentication algorithm in the DCT domain based on neural networks. The watermark is constructed from the image to be watermarked. It consists of the average value of each 8 × 8 block of the image. Each a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7b0fe43e589a8ecc66f0327b23e94f7
https://doi.org/10.1049/iet-ipr.2013.0646
https://doi.org/10.1049/iet-ipr.2013.0646
Publikováno v:
Multimedia Tools and Applications. 74:11281-11295
This paper presents an improved approach to face recognition, called Regularized Shearlet Network (RSN), which takes advantage of the sparse representation properties of shearlets in biometric applications. One of the novelties of our approach is tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a56f11dce0da32bc15e549f2651337e8
https://doi.org/10.1007/s11042-014-2228-3
https://doi.org/10.1007/s11042-014-2228-3
Publikováno v:
Multimedia Tools and Applications. 70:1521-1557
In this paper, a new audio watermarking scheme operating in the frequency domain and based on neural network architecture is described. The watermark is hidden into the middle frequency band after performing a Discrete Cosine transform (DCT). Embeddi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36dcceb58f20ede8b3f6cde6ed7c91c9
https://doi.org/10.1007/s11042-012-1167-0
https://doi.org/10.1007/s11042-012-1167-0
Publikováno v:
Multimedia Tools and Applications. 56:281-301
We present in this article a new video watermarking which resists collusion, MPEG4 compression and frame dropping attacks. This scheme is based on video mosaicing. For that, we are going to start by describing the mosaicing technique in order to illu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::486907d9b8456f4a6b0fbc2b9e0ed268
https://doi.org/10.1007/s11042-010-0626-8
https://doi.org/10.1007/s11042-010-0626-8
Publikováno v:
Multimedia Tools and Applications. 55:579-600
In this paper, we propose a video watermarking algorithm which embeds different parts of a single watermark into different shots of a video under the wavelet domain. Based on a Motion Activity Analysis, different regions of the original video are sep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54a860ac8b0afcb2e48db02e8045924a
https://doi.org/10.1007/s11042-010-0580-5
https://doi.org/10.1007/s11042-010-0580-5
Publikováno v:
ICIP
This paper investigates a new approach for face, gender and race classification, called multi-regularized learning (MRL). This approach combines ideas from the recently proposed algorithms called multi-stage learning (MSL) and multi-task features lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fff3b293ff632eb054985de52fe20c09
https://doi.org/10.1109/icip.2014.7026068
https://doi.org/10.1109/icip.2014.7026068
Publikováno v:
ICASSP
This paper presents an improved approach to face recognition, called Regularized Shearlet Network (RSN), which takes advantage of the sparse representation properties of shearlets in biometric applications. One of the novelties of our approach is tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bceb1625be3600c64ab29d7760587975
https://doi.org/10.1109/icassp.2014.6853649
https://doi.org/10.1109/icassp.2014.6853649
Publikováno v:
HIS
In this paper we describe an automated process of object detection and recognition in real time video scene having a fix background. The objective is to provide a real time system which can detect and recognize any new object introduced in the video.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4769ae1b4a84af5ef03f0f84f57d2e86
https://doi.org/10.1109/his.2013.6920469
https://doi.org/10.1109/his.2013.6920469
Publikováno v:
Image Analysis and Processing – ICIAP 2013 ISBN: 9783642411830
ICIAP (2)
ICIAP (2)
One open challenge in face recognition (FR) is the single training sample per subject. This paper addresses this problem through a novel approach that combine Shearlet Networks (SN) and PCA called (SNPCA). Shearlet Network takes advantage of the spar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e320c37cdae17437bfa2c21dead1e123
https://doi.org/10.1007/978-3-642-41184-7_62
https://doi.org/10.1007/978-3-642-41184-7_62
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783642402456
CAIP (2)
CAIP (2)
One of the challenges in pattern recognition technologies, especially face recognition, is the ability to handle scenarios where subjects are non-cooperative in terms of position (face pose) or deformation (face expression). In this paper, we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285d67eac319f4e37d1966b03878aafd
https://doi.org/10.1007/978-3-642-40246-3_38
https://doi.org/10.1007/978-3-642-40246-3_38