Search results for "perceptual weight"

showing 2 items of 2 documents

Integration of acoustical information in the perception of impacted sound sources. The role of information accuracy and exploitability.

2010

Sound sources are perceived by integrating information from multiple acoustical features. The factors influencing the integration of information are largely unknown. We measured how the perceptual weighting of different features varies with the accuracy of information and with a listener’s ability to exploit it. Participants judged the hardness of two objects whose interaction generates an impact sound: a hammer and a sounding object. In a first discrimination experiment, trained listeners focused on the most accurate information, although with greater difficulty when perceiving the hammer. We inferred a limited exploitability for the most accurate hammer-hardness information. In a second r…

MaleComputer scienceSpeech recognitionlaw.inventionBehavioral Neuroscience0302 clinical medicineDiscrimination Psychologicallawmedia_commonSettore INF/01 - Informatica05 social sciencesCognitionMiddle Agedinformation integrationSoundAuditory PerceptionSound sourcesFemaleperceptual weightauditory cognition; sound source perception; information integration; perceptual weight; impact soundsHumanAuditory perceptionAdultAdolescentExperimental psychologymedia_common.quotation_subjectDifferential ThresholdExperimental and Cognitive PsychologyWeight Perception050105 experimental psychology03 medical and health sciencesYoung Adultsound source perceptionauditory cognitionArts and Humanities (miscellaneous)impact soundPerceptionHumans0501 psychology and cognitive sciencesHammerSound LocalizationAcousticDiscrimination (Psychology)Communicationbusiness.industryAuditory ThresholdAcousticsimpact soundsAcoustic Stimulationbusiness030217 neurology & neurosurgeryInformation integration
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Perceptually weighted optical flow for motion-based segmentation in MPEG-4 paradigm

2000

In the MPEG-4 paradigm, the sequence must be described in terms of meaningful objects. This meaningful, high-level representation should emerge from low-level primitives such as optical flow and prediction error which are the basic elements of previous-generation video coders. The accuracy of the high-level models strongly depends on the robustness of the primitives used. It is shown how perceptual weighting in optical flow computation gives rise to better motion estimates which consistently improve motion-based segmentation compared to equivalent unweighted motion estimates.

business.industryMean squared prediction errorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowcomputer.file_formatPerceptual weightingOptical flow computationRobustness (computer science)Motion estimationComputer Science::MultimediaMPEG-4Computer visionSegmentationArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerMathematicsElectronics Letters
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