Titlebook: Computer Vision, Imaging and Computer Graphics Theory and Applications; 13th International J Dominique Bechmann,Manuela Chessa,Alain Tremea

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A Descriptive Attribute-Based Framework for Annotations in Data Visualizations article introduces a classification framework that allows a systematic description of annotations. To create the framework, a real dataset of 302 annotations authored by 16 analysts was collected. Then, three coders independently described the annotations by eliciting categories that emerged from

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TabularVis: An Interactive Relationship Visualization Tool Supported by Optimization and Search Algosers. One of its forms is when we use tables to describe the relationships and their associated values. In this work, we present TabularVis, an interactive, web client based application for visualizing relationships based on tabular data. Our visualization technique was inspired by the Table Viewer

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Visual Computing Methods for Assessing the Well-Being of Older Peoplenditions is becoming more and more relevant. Recent medical literature has proposed the notion of ., which rapidly became a key element of clinical practices for the estimation of well-being in aging population. The evaluation of frailty is commonly based on self reported outcomes and occasional phy

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Pedestrian Detection and Trajectory Estimation in the Compressed Domain Using Thermal Imagesillance in outdoor environments. Nevertheless, the onboard implementation of image and video processing techniques poses many challenges like the high computational cost and the high bandwidth requirements, especially on low-performance processing platforms like small or medium UAVs. A fast and effi

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Random Forests Based Image Colorizationery large training data sets. In contrast, the proposed method is fully automatic and uses several orders of magnitude less training images. To this aim, a Random Forest is tailored to the task of regressing plausible color value given a patch of the grayscale image. In order to improve the coloriza

remission

A Survey on Databases of Facial Macro-expression and Micro-expressioncation. We propose in this paper a survey based on the review of 69 databases, taking into account both macro- and micro-expressions. To the best of our knowledge, there are no other surveys with so many databases. We review the existing facial expression databases according to 18 characteristics gr