将多尺度结构复杂性作为视觉复杂性的定量衡量标准

Anna Kravchenko, Andrey A. Bagrov, Mikhail I. Katsnelson, Veronica Dudarev
{"title":"将多尺度结构复杂性作为视觉复杂性的定量衡量标准","authors":"Anna Kravchenko, Andrey A. Bagrov, Mikhail I. Katsnelson, Veronica Dudarev","doi":"arxiv-2408.04076","DOIUrl":null,"url":null,"abstract":"While intuitive for humans, the concept of visual complexity is hard to\ndefine and quantify formally. We suggest adopting the multi-scale structural\ncomplexity (MSSC) measure, an approach that defines structural complexity of an\nobject as the amount of dissimilarities between distinct scales in its\nhierarchical organization. In this work, we apply MSSC to the case of visual\nstimuli, using an open dataset of images with subjective complexity scores\nobtained from human participants (SAVOIAS). We demonstrate that MSSC correlates\nwith subjective complexity on par with other computational complexity measures,\nwhile being more intuitive by definition, consistent across categories of\nimages, and easier to compute. We discuss objective and subjective elements\ninherently present in human perception of complexity and the domains where the\ntwo are more likely to diverge. We show how the multi-scale nature of MSSC\nallows further investigation of complexity as it is perceived by humans.","PeriodicalId":501043,"journal":{"name":"arXiv - PHYS - Physics and Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-scale structural complexity as a quantitative measure of visual complexity\",\"authors\":\"Anna Kravchenko, Andrey A. Bagrov, Mikhail I. Katsnelson, Veronica Dudarev\",\"doi\":\"arxiv-2408.04076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"While intuitive for humans, the concept of visual complexity is hard to\\ndefine and quantify formally. We suggest adopting the multi-scale structural\\ncomplexity (MSSC) measure, an approach that defines structural complexity of an\\nobject as the amount of dissimilarities between distinct scales in its\\nhierarchical organization. In this work, we apply MSSC to the case of visual\\nstimuli, using an open dataset of images with subjective complexity scores\\nobtained from human participants (SAVOIAS). We demonstrate that MSSC correlates\\nwith subjective complexity on par with other computational complexity measures,\\nwhile being more intuitive by definition, consistent across categories of\\nimages, and easier to compute. We discuss objective and subjective elements\\ninherently present in human perception of complexity and the domains where the\\ntwo are more likely to diverge. We show how the multi-scale nature of MSSC\\nallows further investigation of complexity as it is perceived by humans.\",\"PeriodicalId\":501043,\"journal\":{\"name\":\"arXiv - PHYS - Physics and Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Physics and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.04076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Physics and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.04076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

虽然视觉复杂性的概念对人类来说很直观,但却很难正式定义和量化。我们建议采用多尺度结构复杂性(MSSC)测量方法,这种方法将物体的结构复杂性定义为其等级组织中不同尺度之间的差异量。在这项工作中,我们将 MSSC 应用于视觉刺激的情况,使用的是一个开放的图像数据集,该数据集带有从人类参与者那里获得的主观复杂性评分(SAVOIAS)。我们证明,MSSC 与主观复杂度的相关性与其他计算复杂度测量方法相当,同时其定义更加直观,在不同类别的图像中具有一致性,而且更易于计算。我们讨论了人类对复杂性感知中固有的客观和主观因素,以及两者更容易产生分歧的领域。我们展示了 MSS 的多尺度性质如何允许进一步研究人类感知的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-scale structural complexity as a quantitative measure of visual complexity
While intuitive for humans, the concept of visual complexity is hard to define and quantify formally. We suggest adopting the multi-scale structural complexity (MSSC) measure, an approach that defines structural complexity of an object as the amount of dissimilarities between distinct scales in its hierarchical organization. In this work, we apply MSSC to the case of visual stimuli, using an open dataset of images with subjective complexity scores obtained from human participants (SAVOIAS). We demonstrate that MSSC correlates with subjective complexity on par with other computational complexity measures, while being more intuitive by definition, consistent across categories of images, and easier to compute. We discuss objective and subjective elements inherently present in human perception of complexity and the domains where the two are more likely to diverge. We show how the multi-scale nature of MSSC allows further investigation of complexity as it is perceived by humans.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信