@article {93549,
	title = {A novel method for video shot boundary detection using CNN-LSTM approach},
	journal = { International Journal of Multimedia Information Retrieval },
	volume = {11},
	year = {2022},
	abstract = {
	Due to the rapid growth of digital videos and the massive increase in video content, there is an urgent need to develop efficient automatic video content analysis mechanisms for different tasks, namely summarization, retrieval, and classification. In all these applications, one needs to identify shot boundary detection. This paper proposes a novel dual-stage approach for cut transition detection that can withstand certain illumination and motion effects. Firstly, we present a deep neural network model using the pre-trained model combined with long short-term memory LSTM network and the euclidean distance metric. Two parallel pre-trained models sharing the same weights extract the spatial features. Then, these features are fed to the LSTM and the euclidean distance metric to classify the frames into specific categories (similar or not similar). To train the model, we generated a new database containing 5000 frame pairs with two labels (similar, dissimilar) for training and 1000 frame pairs for testing from online videos. Secondly, we adopt the segment selection process to predict the shot boundaries. This preprocessing method can help improve the accuracy and speed of the VSBD algorithm. Then, cut transition detection based on the similarity model is conducted to identify the shot boundaries in the candidate segments. Experimental results on standard databases TRECVid 2001, 2007, and RAI show that the proposed approach achieves better detection rates over the state-of-the-art SBD methods in terms of the F1 score criterion.

},
	url = {https://link.springer.com/article/10.1007/s13735-022-00251-8},
	author = {Benoughidene, Abdelhalim and TITOUNA, Faiza}
}
@article {63019,
	title = {A privacy-preserving cryptosystem for IoT E-healthcare},
	journal = {Information SciencesInformation Sciences},
	volume = {527},
	year = {2020},
	month = {2020},
	pages = {493-510},
	isbn = {0020-0255},
	author = {Hamza, Rafik and Yan, Zheng and Muhammad, Khan and Bellavista, Paolo and TITOUNA, Faiza}
}
@proceedings {63205,
	title = {Outlier detection algorithm based on mahalanobis distance for wireless sensor networks},
	journal = {2019 International Conference on Computer Communication and Informatics (ICCCI)},
	year = {2019},
	month = {2019},
	pages = {1-6},
	publisher = {IEEE},
	isbn = {1-5386-8260-5},
	author = {Titouna, Chafiq and TITOUNA, Faiza and Ari, Ado Adamou Abba}
}
@article {64927,
	title = {INVESTIGATION OF THREE-DIMENSIONAL IMAGE SECURITY BASED ON IMPROVED IMAGE RANDOMISED ENCRYPTION METHOD.},
	journal = {NED University Journal of ResearchNED University Journal of Research},
	year = {2018},
	month = {2018},
	isbn = {1023-3873},
	author = {Hamza, Rafik and Hewage, Chaminda and TITOUNA, Faiza}
}
@article {64362,
	title = {Secure video summarization framework for personalized wireless capsule endoscopy},
	journal = {Pervasive and Mobile ComputingPervasive and Mobile Computing},
	volume = {41},
	year = {2017},
	month = {2017},
	pages = {436-450},
	abstract = {Wireless capsule\&nbsp;endoscopy\&nbsp;(WCE) has several benefits over traditional endoscopy such as its portability and ease of usage, particularly for remote\&nbsp;internet of things\&nbsp;(IoT)-assisted\&nbsp;healthcare services. During the WCE procedure, a significant amount of redundant video data is generated, the transmission of which to healthcare centers and gastroenterologists securely for analysis is challenging as well as wastage of several resources including energy, memory, computation, and bandwidth. In addition to this, it is inherently difficult and time consuming for gastroenterologists to analyze this huge volume of gastrointestinal video data for desired contents. To surmount these issues, we propose a secure video summarization framework for outdoor patients going through WCE procedure. In the proposed system,\&nbsp;keyframes\&nbsp;are extracted using a light-weighted video summarization scheme, making it more suitable for WCE. Next, a\&nbsp;cryptosystem\&nbsp;is presented for security of extracted keyframes based on 2D Zaslavsky chaotic map. Experimental results validate the performance of the proposed cryptosystem in terms of robustness and high-level security compared to other recent image encryption schemes during dissemination of important keyframes to healthcare centers and gastroenterologists for personalized WCE.},
	author = {Hamza, Rafik and Muhammad, Khan and Lv, Zhihan and TITOUNA, Faiza}
}
@article {61434,
	title = {Gestion Dynamique des Carrefours {\`a} Feux},
	journal = {IJMS - The International Journal of Multi-disciplinary Sciences },
	volume = {1},
	number = {17},
	year = {2017},
	abstract = {
	Les technologies utilis{\'e}es dans les syst{\`e}mes de transport intelligents varient, allant



	de syst{\`e}mes de gestion basiques



	comme les syst{\`e}mes de gestion des carrefours {\`a}



	feux, les syst{\`e}mes de gestion des conteneurs, les panneaux {\`a} messages variables,



	radars automatiques ou la vid{\'e}osurveillance aux applications plus avanc{\'e}es qui



	int{\`e}grent des donn{\'e}es en temps



	-



	r{\'e}el avec ret



	ours d{\textquoteright}informations de nombreuses



	sources, comme les informations m{\'e}t{\'e}orologiques, ...etc.



	Cet article donne un



	bref



	aper{\c c}u sur



	une



	gestion intelligente des carrefours {\`a} feux



	utilisant des capteurs sans fils

},
	url = {https://docplayer.fr/176311359-Gestion-dynamique-des-carrefours-a-feux.html},
	author = {AKSA, Karima and TITOUNA, Faiza and BENALI, Bilal and DJETTAOU, Bilel}
}
@article {65449,
	title = {A novel sensitive image encryption algorithm based on the Zaslavsky chaotic map},
	journal = {Information Security Journal: A Global PerspectiveInformation Security Journal: A Global Perspective},
	volume = {25},
	year = {2016},
	month = {2016},
	pages = {6},
	abstract = {In this article, a novel sensitive encryption scheme to secure the digital images based on the Zaslavsky chaotic map is proposed. We employ the Zaslavsky chaotic map as a pseudo-random generator to produce the key encryption of the proposed image cryptosystem. The cipher structure has been chosen based on permutation-diffusion processes, where we adopt the classic permutation substitution network, which ensures both confusion and diffusion properties for the encrypted image. Our proposed algorithm has high sensitivity in plain image and the secret key. Moreover, the results show that the characteristics of our approach have excellent performance, with high scores (NPRC = 99.61\%, UACI = 33.47\%, entropy (CipherImage)\&nbsp;\&nbsp;8, and correlation coefficient\&nbsp;\&nbsp;0). Experimental results have been studied and analyzed in detail with various types of security analysis. These results demonstrate that our proposed cryptosystem has highly satisfactory security performance and can withstand various attacks compared to state-of-the-art methods.},
	author = {Hamza, Rafik and TITOUNA, Faiza}
}
@article {66133,
	title = {Lukasiewicz-based merging possibilistic networks},
	journal = {International journal of approximate reasoningInternational journal of approximate reasoning},
	volume = {55},
	year = {2014},
	month = {2014},
	pages = {1747-1763},
	isbn = {0888-613X},
	author = {TITOUNA, Faiza and Benferhat, Salem}
}
@proceedings {66132,
	title = {Merging possibilistic networks through a disjunctive mode},
	journal = {International Conference on Belief Functions},
	year = {2014},
	month = {2014},
	pages = {265-274},
	publisher = {Springer},
	author = {TITOUNA, Faiza and Benferhat, Salem}
}
@proceedings {66521,
	title = {Qualitative fusion-based traffic signal preemption},
	journal = {Proceedings of the 16th International Conference on Information Fusion},
	year = {2013},
	month = {2013},
	pages = {1926-1933},
	publisher = {IEEE},
	isbn = {1-4799-0284-5},
	author = {TITOUNA, Faiza and Benferhat, Salem}
}
@article {66865,
	title = {Probabilistic Checkpointing Protocol to Sensor Network Fault-Tolerant},
	journal = {International Journal of Computer Science Issues (IJCSI)International Journal of Computer Science Issues (IJCSI)},
	volume = {9},
	year = {2012},
	month = {2012},
	pages = {112},
	isbn = {1694-0814},
	author = {TITOUNA, Faiza and Titouna, Chafiq and Benferhat, Salem}
}
@proceedings {67344,
	title = {On the fusion of probabilistic networks},
	journal = {International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems},
	year = {2011},
	month = {2011},
	pages = {49-58},
	publisher = {Springer},
	author = {Benferhat, Salem and TITOUNA, Faiza}
}
@article {67712,
	title = {Fusion and normalization of quantitative possibilistic networks},
	journal = {Applied IntelligenceApplied Intelligence},
	volume = {31},
	year = {2009},
	month = {2009},
	pages = {135-160},
	isbn = {1573-7497},
	author = {Benferhat, Salem and TITOUNA, Faiza}
}
@article {67618,
	title = {Fusion de r{\'e}seaux causaux possibilistes},
	year = {2009},
	month = {2009},
	author = {TITOUNA, Faiza}
}
@proceedings {62014,
	title = {Agregating Quantitative Possibilistic Networks.},
	journal = {FLAIRS Conference},
	year = {2006},
	month = {2006},
	pages = {800-805},
	author = {Benferhat, Salem and TITOUNA, Faiza}
}
@proceedings {61941,
	title = {Min-based fusion of possibilistic networks},
	journal = {EUSFLAT Conf.},
	year = {2005},
	month = {2005},
	pages = {553-558},
	url = {http://www.univ-valenciennes.fr/congres/JFRB06/docJFRBaccesWeb/benferhatExpose.pdf},
	author = {Benferhat, Salem and TITOUNA, Faiza}
}
