Search results for "lien"

Mesh Visual Quality based on the combination of convolutional neural networks

2019

Blind quality assessment is a challenging issue since the evaluation is done without access to the reference nor any information about the distortion. In this work, we propose an objective blind method for the visual quality assessment of 3D meshes. The method estimates the perceived visual quality using only information from the distorted mesh to feed pre-trained deep convolutional neural networks. The input data is prepared by rendering 2D views from the 3D mesh and the corresponding saliency map. The views are split into small patches of fixed size that are filtered using a saliency threshold. Only the salient patches are selected as input data. After that, three pre-trained deep convolu…

Directive local color transfer based on dynamic look-up table

2019

Abstract Color transfer in image processing usually suffers from misleading color mapping and loss of details. This paper presents a novel directive local color transfer method based on dynamic look-up table (D-DLT) to solve these problems in two steps. First, a directive mapping between the source and the reference image is established based on the salient detection and the color clusters to obtain directive color transfer intention. Then, dynamic look-up tables are created according to the color clusters to preserve the details, which can suppress pseudo contours and avoid detail loss. Subjective and objective assessments are presented to verify the feasibility and the availability of the…

Innovative modelling techniques in computer vision

1996

Abstract The paper is concerned with two of main research activities currently carried on at the Computer Science and Artificial Intelligence lab of DIE. The first part deals with hybrid artificial vision models, intended to provide object recognition and classification capabilities to an autonomous intelligen system. In this framework, a system recovering 3-D shape information from grey-level images of a scene, building a geometric representation of the scene in terms of superquadrics at the geometric level, and reasoning about the scene at the symbolic level is described. In the second part, attention is focused on automatic indexing of image databases. JACOB, a prototypal system allowing…

FoSBaS: A bi-directional secrecy and collusion resilience key management scheme for BANs

2012

Body Area Network (BAN) consists of various types of small physiological sensors, transmission modules and low computational components and can thus form an E-health solution for continuous all-day and any-place health monitoring. To protect confidentiality of collected data, a shared group key is usually deployed in a BAN, and consequently a secure communication group is generated. In this paper, we propose a bi-directional security and collusion resilience key management scheme for BAN, referred to as FoSBaS. Detailed analysis shows that the scheme can provide both forward security and backward security and resist against collusion attacks. Furthermore, the FoSBaS is implemented on a Sun …

Saliency Based Aesthetic Cut of Digital Images

2013

Aesthetic cut of photos is a process well known to professional photographers. It consists of cutting the original photo to remove less relevant parts close to the borders leaving in this way the interesting subjects in a position that is perceived by the observer as more pleasant. In this paper we propose a saliency based technique to automatically perform aesthetic cut in images. We use a standard method to estimate the saliency map and propose some post processing on the map to make it more suitable for our scope. We then apply a greedy algorithm to determine the cut (i.e. the most important part of the original image) both in the cases of free and fixed aspect ratio. Experimental result…

From Global to Local Disaster Resilience

2015

Spatio-Temporal Saliency Detection in Dynamic Scenes using Local Binary Patterns

2014

International audience; Visual saliency detection is an important step in many computer vision applications, since it reduces further processing steps to regions of interest. Saliency detection in still images is a well-studied topic. However, videos scenes contain more information than static images, and this additional temporal information is an important aspect of human perception. Therefore, it is necessary to include motion information in order to obtain spatio-temporal saliency map for a dynamic scene. In this paper, we introduce a new spatio-temporal saliency detection method for dynamic scenes based on dynamic textures computed with local binary patterns. In particular, we extract l…

Knowledge behaviors when the commons are at stake: Insights from the Covid-19 crisis

2020

How do people’s beliefs on the likely system-level consequences of circulating a certain piece of knowledge influence those people’s knowledge behaviors? To address this question, we leverage the most recent developments of the theory of the commons as learning systems. According to this theory, people are strongly responsive to perceived threats to the commons they (may) benefit from, and strive to learn and respond accordingly. Through this theoretical lens, we analyze thick qualitative data (January-April 2020) from the Covid-19 crisis, which resulted in unprecedented visibility of commons-related knowledge behaviors. The contribution of this inductive study is fourfold. First, we identi…

Swine flu in Buenos Aires: beyond the principle of resilience

2011

PurposeThroughout April/May of 2009 a new type of virus surfaced in Mexico and the USA, denominated H1N1 or swine flu, that has been immediately disseminated worldwide. Even though the mortality of this virus has been slow, comparing with other antecedents, the mass‐media articulated a troublesome discourse that put the world in tenterhooks waiting for the evolution of the symptoms. Emulating the mythical archetype of what we knew as Spanish flu, which affected more than 50 million people during 1918 and 1920, journalism triggered panic in the four corners of the world. Under such a context, the purpose of this paper is to explore the connection between the coverage of mass‐media and press …

2021

Autoimmune thrombotic thrombocytopenic purpura (iTTP) is a life-threatening, relapsing disease in which an acquired deficiency of the enzyme ADAMTS13 leads to generalised microvascular thrombosis. Survivors have a high prevalence of depression and impaired cognitive function. The aim of this study was to determine whether life circumstances and personality have an influence on the development and severity of depression and anxiety in iTTP patients and how they impact the quality of life. With validated questionnaires, we examined the prevalence of depression and anxiety symptoms in 104 iTTP patients, as well as parameters of subjective cognitive deficits, quality of life, attitude to life a…