Signal processing. Image communication : theory, techniques & applications, Vol. 24 N° 3. Signal processing. Image communication - Mars 2009
| Titre : | Signal processing. Image communication : theory, techniques & applications, Vol. 24 N° 3. Signal processing. Image communication - Mars 2009 |
| Type de document : | Bulletin |
| Paru le : | 15/12/2009 |
Dépouillements
Article : texte imprimé
Shira Nemirovsky, Auteur ;
Moshe Porat, Auteur
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Markov-type models characterize the correlation among neighboring pixels in an image in many image processing applications.
Specifically, a wide-sense Markov model, which is defined in terms of minimum linear mean-square error estimates, is app[...]
Article : texte imprimé
D. I. Kosmopoulos, Auteur ;
A. Doulamis, Auteur ;
A. Makris, Auteur
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In this paper we present a novel vision-based system for the automated production of personalized video souvenirs for visitors in leisure and cultural heritage venues.
Visitors are visually identified and tracked through a camera network.
The [...]
Article : texte imprimé
Ming Li, Auteur ;
Yilin Chang, Auteur ;
Fuzheng Yang, Auteur
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Hierarchical B-frames contribute to improvement of coding performance when introduced into H.264/AVC.
However, the existing rate control schemes for H.264/AVC, which are mainly applied to IPPP and IBBP coding structures, cannot work efficiently[...]
Article : texte imprimé
Stefaan Mys, Auteur ;
Jürgen Slowack, Auteur ;
Jozef Škorupa, Auteur
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Although it was proven in the 1970s already by Wyner and Ziv and Slepian and Wolf that, under certain conditions, the same rate–distortion boundaries exist for distributed video coding (DVC) systems as for traditional predicting systems, until n[...]
Article : texte imprimé
Truong Cong Thang, Auteur ;
Jae-Gon Kim, Auteur ;
Jung Won Kang, Auteur
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Recently, scalable video coding (SVC) has emerged as a promising video format for applications of multimedia communication.
An SVC bitstream can be easily truncated (adapted) in spatial, temporal, and SNR dimensions to meet various characterist[...]
Article : texte imprimé
Jari Korhonen, Auteur ;
Pascal Frossard, Auteur
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Conventionally, linear block codes designed for packet erasure correction are targeted to recover all the lost source packets per block, when the fraction of lost data is smaller than the redundancy overhead.
However, these codes fail to recove[...]
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