Search results for "Visual complexity"

showing 3 items of 3 documents

A new set of 299 pictures for psycholinguistic studies : French norms for name agreement, image agreement, conceptual familiarity, visual complexity,…

2003

Pictures are often used as stimuli in studies of perception, language, and memory. Since performances on different sets of pictures are generally contrasted, stimulus selection requires the use of standardized material to match pictures across different variables. Unfortunately, the number of standardized pictures available for empirical research is rather limited. The aim of the present study is to provide French normative data for a new set of 299 black-and-white drawings. Alario and Ferrand (1999) were closely followed in that the pictures were standardized on six variables: name agreement, image agreement, conceptual familiarity, visual complexity, image variability, and age of acquisit…

AdultMaleAdolescentComputer sciencemedia_common.quotation_subjectExperimental and Cognitive Psychologycomputer.software_genreLanguage Development050105 experimental psychologyVisual complexity03 medical and health sciences0302 clinical medicineEmpirical researchPerceptionHumans0501 psychology and cognitive sciencesGeneral PsychologyLanguagemedia_commonName agreementPsycholinguisticsPsychology Experimentalbusiness.industry05 social sciencesAge of AcquisitionPictorial stimuli[SCCO.PSYC]Cognitive science/Psychology[SCCO.PSYC] Cognitive science/PsychologyVisual PerceptionNormativeFemalePsychology (miscellaneous)Artificial intelligenceFactor Analysis Statisticalbusinesscomputer030217 neurology & neurosurgeryNatural language processing
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Predicting perceived visual complexity of abstract patterns using computational measures: The influence of mirror symmetry on complexity perception

2017

Visual complexity is relevant for many areas ranging from improving usability of technical displays or websites up to understanding aesthetic experiences. Therefore, many attempts have been made to relate objective properties of images to perceived complexity in artworks and other images. It has been argued that visual complexity is a multidimensional construct mainly consisting of two dimensions: A quantitative dimension that increases complexity through number of elements, and a structural dimension representing order negatively related to complexity. The objective of this work is to study human perception of visual complexity utilizing two large independent sets of abstract patterns. A w…

Computer scienceVisionSocial Scienceslcsh:MedicineSensory perceptioncomputer.software_genreSymmetry0302 clinical medicineMathematical and Statistical TechniquesAttitudes (psychology)Psychologylcsh:Sciencemedia_commonMultidisciplinaryApplied MathematicsSimulation and Modeling05 social sciencesPattern Recognition VisualEllipsesPhysical SciencesVisual PerceptionMirror symmetryStatistics (Mathematics)AlgorithmsResearch ArticleComputer and Information Sciencesmedia_common.quotation_subjectGeometryMachine learning algorithmsMachine learningEllipseResearch and Analysis Methods050105 experimental psychologyVisual complexity03 medical and health sciencesArtificial IntelligencePerceptionMachine learningHumans0501 psychology and cognitive sciencesStatistical Methodsbusiness.industrylcsh:RBiology and Life SciencesComputational BiologyUsabilitylcsh:QArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryMathematicsNeuroscienceForecasting
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On the Evaluation of Images Complexity: A Fuzzy Approach

2006

The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions, to deal with automatic vision problems, such as feature-extraction. Psychologists seem more interested in the temporal dimension of complexity, to explore attentional models. Is it possible, by merging both approaches, to define an more general index of visual complexity? We have defined a fuzzy mathematical model of visual complexity, using a specific entropy function; results obtained by applying this model to pictorial images have a strong correlation with ones from an experime…

CorrelationBinary entropy functionbusiness.industryComputer scienceFuzzy setEntropy (information theory)Artificial intelligencebusinessMachine learningcomputer.software_genreFuzzy logiccomputerVisual complexity
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