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This paper proposes rain streaks removal by combining of the smoothing methods and image enhancement. We design an efficient method for detecting and removing rain streaks in the image. The rain streaks component is obtained by reduction of the original image rain streaks with blur image, and then conducted in the quantization process. Regarding to the image quantization results, we can find a non...
Latent fingerprints are of decisive influence whenit comes to identifying suspects, as these are usuallyencountered at crime scenes. Also, these serve as acompelling evidence in a court of law. Some of theformidable challenges with latent fingerprints are deficientridge information and poor ridge clarity due to backgroundnoise and non-linear distortions. An effective fingerprintenhancement scheme...
In this paper, we investigate a video-based method of detecting fall incidents from overlapping cameras. Our aim here is to propose a novel method, without anywearable device, to detect falls on the floor with a multiplecameras system by using homographic projection on aground plane (or on reference camera view plane). Tworelatively orthogonal views are utilized, in turn, simplifyingthe estimation...
Sperm tracking-and-analysis is one of the interesting topics in biological research and reproductivemedicine, as it helps to assess the quality of the spermfor the male infertility. Computer-Assisted Sperm Analysis(CASA) systems provide a rapid and automated assessmentof the parameters of sperm motion, together with improvedstandardization and quality control. In this paper, we proposea method to...
During their geometry processing and transmission 3D meshes are subject to various visual processing operations like compression, watermarking, remeshing, noise addition and so forth. In this context it is indispensable to evaluate the quality of the distorted mesh, we talk here about the mesh visual quality (MVQ) assessment. Several works have tried to evaluate the MVQ using simple geometric measures,...
A great variety of artificial and natural systems can be abstracted into a set of entities interacting with each other. Such abstractions can very well represent the underlying dynamics of the system when modeled as network of vertices coupled by edges. Prediction of dynamics in these structures based on topological attribute or dependency relations is an important task. Link Prediction in such complex...
There are many real-world interactions that can be naturally represented as temporal networks, such as communications in social media and transportation with urban transport facilities. As one of the approaches for analyzing temporal networks, they are often represented as multilayer networks composed of many single-layer networks sharing the same set of nodes. Edges in multilayer networks are divided...
Detection of influential actors in social media plays an important role for increasing the quality and efficiency of work and services in many fields such as education, marketing, etc. Thiswork aims to introduce a new approach for the characterization of influential actors in online social media, such as Twitter. We present on a model of influence of an actor that is based on the attractiveness of...
Network inference is advancing rapidly, and new methods are proposed on a regular basis. Understanding the advantages and limitations of different network inference methods is key to their effective application in different circumstances. The common structural properties shared by diverse networks naturally pose a challenge when it comes to devising accurate inference methods, but surprisingly, there...
We introduce an extension of the SIS epidemic model that describes infection, mutation and curing for a whole hierarchy of viruses, resembling a nested spreading process. In our model, high level viruses are only allowed to spread to nodes that have acquired a lower level of infection before. The simplest case of two viruses, in which one "superinfects" the other, shows already rich dynamics...
Influence in Twitter has become recently a hotresearch topic since this micro-blogging service is widelyused to share and disseminate information. Some users aremore able than others to influence and persuade peers. Thus, studying most influential users leads to reach a largescaleinformation diffusion area, something very useful inmarketing or political campaigns. In this paper, we propose anew approach...
The sensitivity of networks to the removal of vertices has been studied extensively over the last 15 years. A common approach to measuring this sensitivity is (i) successively removing vertices following a specific removal strategy and (ii) comparing the original and the modified network using a specific comparison method. In this paper we apply a wide range of removal strategies and comparison methods...
The sensor deployment problem consists in finding an optimal (or near-optimal) way of placing sensors in a givenarea in order to cover the whole space. However, sometimes it is not necessary to monitor the complete area, one may want tofocus on some points considered as target. This leads to the target coverage problem. This problem includes two main processes: (1)placing sensors around the targets,...
This paper introduces an Adaptive Context Aware App for the tourism. This app is based on the Context Dimension Tree: a graphical formalism for the context representation through its main components. The system is made available to the user as an adaptive mobile application, which allows a high degree of customization in recommending services and resources according to his/her current position and...
Nowadays museums and other cultural heritage sites provide more and more intelligent systems able to enhance humans experiences during visits in museums and archaeological sites. The complexity of these systems is growing up faster and faster. Distributed autonomous elements like sensors networks, intelligent devices etc. are now widely used in these sites. Especially in large museums and ruins, one...
We investigate the user dynamics related to the interaction with artworks in an exhibition. In a first step, we characterize visitors in a cultural heritage scenario and after, we study how these interact with available technologies. Accordingly with the fact that the technology plays a crucial role in supporting spectators and enhancing their experiences, the starting point of this research is the...
Location based and geo-context aware services form the new fast growing domain of commercially successful ICT solutions. These services play the key role in IoT scenarios and development of smart spaces and proactive solutions. One of the most attractive application areas is e-Tourism. More people can afford travelling and over the last few decades we see continues growth of the tourist activity....
With the increasing volume of datasets on the Linked Open Data (LOD) cloud, it becomes necessary to assess Linked Data quality. This is especially important for DBpedia, which has become a prominent resource on the LOD. In this paper, our aim is to evaluate the quality of the description of domain concepts in DBpedia. Using a data-driven approach on a sample of domain concepts from Wikipedia, we show...
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