Publications nationales

2016
Seif Allah Elmesloul Nasri, Khaled Khelil, Noureddine Doghmane. (2016), Enhanced view random access ability for multiview video coding. Journal of Electronic Imaging : SPIE, https://doi.org/10.1117/1.JEI.25.2.023027

Résumé: Apart from the efficient compression, reducing the complexity of the view random access is one of the most important requirements that should be considered in multiview video coding. In order to obtain an efficient compression, both temporal and inter-view correlations are exploited in the multiview video coding schemes, introducing higher complexity in the temporal and view random access. We propose an inter-view prediction structure that aims to lower the cost of randomly accessing any picture at any position and instant, with respect to the multiview reference model JMVM and other recent relevant works. The proposed scheme is mainly based on the use of two base views (I-views) in the structure with selected positions instead of a single reference view as in the standard structures. This will, therefore, provide a direct inter-view prediction for all the remaining views and will ensure a low-delay view random access ability while maintaining a very competitive bit-rate performance with a similar video quality measured in peak signal-to-noise ratio. In addition to a new evaluation method of the random access ability, the obtained results show a significant improvement in the view random accessibility with respect to other reported works.

Chapitres de livres

2018
Seif Allah El Mesloul Nasri, Abdul Hamid Sadka, Noureddine Doghmane & Khaled Khelil . (2018), Multiview Video Coding: A Comparative Study Between MVC and MV-HEVC. Recent Trends in Computer Applications : Springer, Cham, https://link.springer.com/chapter/10.1007/978-3-319-89914-5_7

Résumé: Recent video coding standards such as Advanced Video Coding (AVC/H.264) and High Efficiency Video Coding (HEVC/H.265) provide extension profiles allowing for the exploitation of the inter-view resemblances that exist in multiview video for better compression efficiency. This chapter presents an overview of the multiview coding concepts while focusing on the extended profiles of MVC and MV-HEVC, respectively. Also, experiments have been conducted comparing MVC and MV-HEVC with regard to their compression efficiency. Multiview video sequences with different resolutions and textures were subject to the tests. The reported results show that MV-HEVC outperforms MVC in terms of bit rate saving, yielding a gain of over 70% for a selected video sequence.

Communications internationales

2017
Seif Allah E. Nasri, Abdul H. Sadka, N. Doghmane, K. Khelil. (2017), Group of Pictures Effects on Proposed Multiview Video Coding Scheme. IEEE 40th International Conference on Telecommunications and Signal Processing : IEEE, https://ieeexplore.ieee.org/document/8076047/

Résumé: In this paper, an investigation of multiview video coding schemes is presented, based on different inter-view prediction structures and various group of pictures (GOP) sizes. The studied inter-view prediction schemes in this paper are: A new approach namely “PIP”, recently proposed (PBI), and the benchmark structure (MVC). Results of the conducted tests allow to order the studied inter-view structures and GOP sizes preferences according to their effects in terms of random access and compression efficiency. “PIP” approach achieves significant results in terms of random accessibility yielding a gain of 53.33 % and 36.36 % compared to MVC and PBI approach, respectively. A substantial bit-rate saving is produced by “PBI” approach structure compared to the aforementioned structures. Furthermore, the results ascertain the fact that using a reduced GOP length provides better random access ability and less bit-rate saving. Conversely, larger GOP length leads to low-delay random access and more bit-rate saving.