966 resultados para Visual communication
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The basic premise of this article is that typefaces reflect, and respond to, the conditions of making and using documents; and that demand for evolving document genres drives the development of new typefaces. The article describes how the combination of a narrow range for functionally acceptable letters and paragraphs, and a wide range of possibilities to express these arrangements, offers a revealing tool for examining changes in the perceptions of professionals in visual communication. Beyond technical issues, the choices of document makers allow insights into wider trends such as urbanisation, demographic changes, education standards, and wider issues of visual literacy.
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This paper presents a new framework for generating triangular meshes from textured color images. The proposed framework combines a texture classification technique, called W-operator, with Imesh, a method originally conceived to generate simplicial meshes from gray scale images. An extension of W-operators to handle textured color images is proposed, which employs a combination of RGB and HSV channels and Sequential Floating Forward Search guided by mean conditional entropy criterion to extract features from the training data. The W-operator is built into the local error estimation used by Imesh to choose the mesh vertices. Furthermore, the W-operator also enables to assign a label to the triangles during the mesh construction, thus allowing to obtain a segmented mesh at the end of the process. The presented results show that the combination of W-operators with Imesh gives rise to a texture classification-based triangle mesh generation framework that outperforms pixel based methods. Crown Copyright (C) 2009 Published by Elsevier Inc. All rights reserved.
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Syftet med denna studie var att genom semistrukturerade djupintervjuer, med särskild fokus på visuella gerillakampanjer, kartlägga de av byråerna benämnda karaktärsdragen för gerillakampanjer samt byråernas arbetssätt för dessa kampanjer.Fem semistrukturerade djupintervjuer genomfördes på respektive respondents arbetsplats utvalda genom ett kombinerat strategiskt och bekvämlighetsurval.Resultaten visade tydliga karaktärsdrag för en gerillakampanj. Utifrån dessa har följande definition tagits fram: en gerillakampanj kännetecknas av att den saknar köpt medieexponering och ofta karaktäriseras av en kreativ, ofta situations- och miljöanpassad, utformning som på egen hand väcker stort intresse eller uppmärksamhet relativt mot den nyttjade budgeten i syfte att skapa djupare relationer med mottagaren.Arbetssätten för en visuell gerillakampanj och vanliga gerillakampanjer skiljer sig inte nämnvärt mot arbetssätten för en traditionell reklamkampanj. Vid framtagandet av en gerillakampanj görs juridiska överväganden om huruvida lagöverträdelser kan komma att krävas. Det framkom även att spridningen i efterhand av en gerillakampanj var viktig för att få så stort genomslag som möjligt genom nyttjandet av traditionell media.
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In this work an image pre-processing module has been developed to extract quantitative information from plantation images with various degrees of infestation. Four filters comprise this module: the first one acts on smoothness of the image, the second one removes image background enhancing plants leaves, the third filter removes isolated dots not removed by the previous filter, and the fourth one is used to highlight leaves' edges. At first the filters were tested with MATLAB, for a quick visual feedback of the filters' behavior. Then the filters were implemented in the C programming language. At last, the module as been coded in VHDL for the implementation on a Stratix II family FPGA. Tests were run and the results are shown in this paper. © 2008 Springer-Verlag Berlin Heidelberg.
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Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial neural networks in order to use them in the system of mapping and localization of the mobile robot of Laboratory of Automation and Evolutive Computer (LACE). To do this, the robot uses a sensorial system composed for ultrasound sensors and a catadioptric vision system formed by a camera and a conical mirror. The mapping system is composed by three modules. Two of them will be presented in this paper: the classifier and the characterizer module. The first module uses a hierarchical neural network to do the classification; the second uses techiniques of extraction of attributes of images and recognition of invariant patterns extracted from the places images set. The neural network of the classifier module is structured in two layers, reason and intuition, and is trained to classify each place explored for the robot amongst four predefine classes. The final result of the exploration is the construction of a topological map of the explored environment. Results gotten through the simulation of the both modules of the mapping system will be presented in this paper. © 2008 IEEE.
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Pós-graduação em Artes - IA
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Design - FAAC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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A vocalização é uma importante forma de comunicação em primatas, pois a maioria das espécies vive em florestas densas, o que dificulta a comunicação visual à distância. A espécie Cebus apella apresenta um rico repertório de sinais vocais contextualizados a diversos comportamentos, como o forrageio alimentar, alerta a predadores, chamados de contato, chamados de corte, entre outros. Com o objetivo de elaborar um banco de dados (biblioteca sonora) de vocalizações de dezesseis indivíduos cativos da espécie Cebus apella, nós coletamos no biotério da Escola Experimental de Primatas, na Universidade Federal do Pará, vocalizações emitidas em ocorrências naturais (agonismo, contato) e em experimentos planejados (alimentação individual e alarme), editamos o material coletado e produzimos os sonogramas. Registramos e analisamos, pelo menos, dez emissões sonoras distintas agrupadas em diferentes contextos (alimentação, alarme, agonismo, contato) e mapeamos os comportamentos que não foram acompanhados de vocalizações. Foram feitas análises estatísticas das diferenças entre os chamados de machos e fêmeas na situação de alimentação individual. Nossos dados confirmaram que a espécie Cebus apella, possui um repertório vocal extenso, com chamados diferentes relacionados a comportamentos particulares, diferenças sexuais nos chamados e combinação de unidades sonoras, o que está de acordo com as indicações de plasticidade cerebral e complexidade social da espécie.