The role of scene summary statistics in object recognition

Abstract Objects that are semantically related to the visual scene context are typically better recognized than unrelated objects. While context effects on object recognition are well studied, the question which particular visual information of an object’s surroundings modulates its semantic process...

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Autores principales:	Tim Lauer, Tim H. W. Cornelissen, Dejan Draschkow, Verena Willenbockel, Melissa L.-H. Võ
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Color Control Spatial Layout Information Consistent Object Global Summary Statistics Scene Context Medicine R Science Q
Acceso en línea:	https://doaj.org/article/10d146d2872942a1a7eea7729ccf14a9
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spelling	oai:doaj.org-article:10d146d2872942a1a7eea7729ccf14a92021-12-02T15:08:28ZThe role of scene summary statistics in object recognition10.1038/s41598-018-32991-12045-2322https://doaj.org/article/10d146d2872942a1a7eea7729ccf14a92018-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-32991-1https://doaj.org/toc/2045-2322Abstract Objects that are semantically related to the visual scene context are typically better recognized than unrelated objects. While context effects on object recognition are well studied, the question which particular visual information of an object’s surroundings modulates its semantic processing is still unresolved. Typically, one would expect contextual influences to arise from high-level, semantic components of a scene but what if even low-level features could modulate object processing? Here, we generated seemingly meaningless textures of real-world scenes, which preserved similar summary statistics but discarded spatial layout information. In Experiment 1, participants categorized such textures better than colour controls that lacked higher-order scene statistics while original scenes resulted in the highest performance. In Experiment 2, participants recognized briefly presented consistent objects on scenes significantly better than inconsistent objects, whereas on textures, consistent objects were recognized only slightly more accurately. In Experiment 3, we recorded event-related potentials and observed a pronounced mid-central negativity in the N300/N400 time windows for inconsistent relative to consistent objects on scenes. Critically, inconsistent objects on textures also triggered N300/N400 effects with a comparable time course, though less pronounced. Our results suggest that a scene’s low-level features contribute to the effective processing of objects in complex real-world environments.Tim LauerTim H. W. CornelissenDejan DraschkowVerena WillenbockelMelissa L.-H. VõNature PortfolioarticleColor ControlSpatial Layout InformationConsistent ObjectGlobal Summary StatisticsScene ContextMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Color Control Spatial Layout Information Consistent Object Global Summary Statistics Scene Context Medicine R Science Q
spellingShingle	Color Control Spatial Layout Information Consistent Object Global Summary Statistics Scene Context Medicine R Science Q Tim Lauer Tim H. W. Cornelissen Dejan Draschkow Verena Willenbockel Melissa L.-H. Võ The role of scene summary statistics in object recognition
description	Abstract Objects that are semantically related to the visual scene context are typically better recognized than unrelated objects. While context effects on object recognition are well studied, the question which particular visual information of an object’s surroundings modulates its semantic processing is still unresolved. Typically, one would expect contextual influences to arise from high-level, semantic components of a scene but what if even low-level features could modulate object processing? Here, we generated seemingly meaningless textures of real-world scenes, which preserved similar summary statistics but discarded spatial layout information. In Experiment 1, participants categorized such textures better than colour controls that lacked higher-order scene statistics while original scenes resulted in the highest performance. In Experiment 2, participants recognized briefly presented consistent objects on scenes significantly better than inconsistent objects, whereas on textures, consistent objects were recognized only slightly more accurately. In Experiment 3, we recorded event-related potentials and observed a pronounced mid-central negativity in the N300/N400 time windows for inconsistent relative to consistent objects on scenes. Critically, inconsistent objects on textures also triggered N300/N400 effects with a comparable time course, though less pronounced. Our results suggest that a scene’s low-level features contribute to the effective processing of objects in complex real-world environments.
format	article
author	Tim Lauer Tim H. W. Cornelissen Dejan Draschkow Verena Willenbockel Melissa L.-H. Võ
author_facet	Tim Lauer Tim H. W. Cornelissen Dejan Draschkow Verena Willenbockel Melissa L.-H. Võ
author_sort	Tim Lauer
title	The role of scene summary statistics in object recognition
title_short	The role of scene summary statistics in object recognition
title_full	The role of scene summary statistics in object recognition
title_fullStr	The role of scene summary statistics in object recognition
title_full_unstemmed	The role of scene summary statistics in object recognition
title_sort	role of scene summary statistics in object recognition
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/10d146d2872942a1a7eea7729ccf14a9
work_keys_str_mv	AT timlauer theroleofscenesummarystatisticsinobjectrecognition AT timhwcornelissen theroleofscenesummarystatisticsinobjectrecognition AT dejandraschkow theroleofscenesummarystatisticsinobjectrecognition AT verenawillenbockel theroleofscenesummarystatisticsinobjectrecognition AT melissalhvo theroleofscenesummarystatisticsinobjectrecognition AT timlauer roleofscenesummarystatisticsinobjectrecognition AT timhwcornelissen roleofscenesummarystatisticsinobjectrecognition AT dejandraschkow roleofscenesummarystatisticsinobjectrecognition AT verenawillenbockel roleofscenesummarystatisticsinobjectrecognition AT melissalhvo roleofscenesummarystatisticsinobjectrecognition
_version_	1718388105491251200

The role of scene summary statistics in object recognition

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