使用基于内容的图像检索的数字人文:视觉研究工具包

2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC) Pub Date : 2017-10-01 DOI:10.1109/BESC.2017.8256409

A. Olszewska, J. Gancarczyk

{"title":"使用基于内容的图像检索的数字人文:视觉研究工具包","authors":"A. Olszewska, J. Gancarczyk","doi":"10.1109/BESC.2017.8256409","DOIUrl":null,"url":null,"abstract":"In this demonstration we present two examples of ready-to-use, non-semantic, visual search filters that can be applied both for managing and analysing large image databases, in the context of digital humanities. We describe formal determinants of each filtering procedure, method, relevance and limitations of the tools. Aims: to promote non-semantic approach towards image management and analysis, to translate art historical formal analysis elements into a set of methods, that would form a visual culture studies toolbox.","PeriodicalId":142098,"journal":{"name":"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Digital humanities using content-based image retrieval: The Visual Studies Toolkit\",\"authors\":\"A. Olszewska, J. Gancarczyk\",\"doi\":\"10.1109/BESC.2017.8256409\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this demonstration we present two examples of ready-to-use, non-semantic, visual search filters that can be applied both for managing and analysing large image databases, in the context of digital humanities. We describe formal determinants of each filtering procedure, method, relevance and limitations of the tools. Aims: to promote non-semantic approach towards image management and analysis, to translate art historical formal analysis elements into a set of methods, that would form a visual culture studies toolbox.\",\"PeriodicalId\":142098,\"journal\":{\"name\":\"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BESC.2017.8256409\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BESC.2017.8256409","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

在这个演示中，我们展示了两个现成的，非语义的，视觉搜索过滤器的例子，它们可以应用于管理和分析大型图像数据库，在数字人文的背景下。我们描述了每种过滤程序的正式决定因素，方法，相关性和工具的局限性。目的:提倡非语义的图像管理与分析方法，将艺术史的形式分析元素转化为一套方法，形成视觉文化研究工具箱。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Digital humanities using content-based image retrieval: The Visual Studies Toolkit

In this demonstration we present two examples of ready-to-use, non-semantic, visual search filters that can be applied both for managing and analysing large image databases, in the context of digital humanities. We describe formal determinants of each filtering procedure, method, relevance and limitations of the tools. Aims: to promote non-semantic approach towards image management and analysis, to translate art historical formal analysis elements into a set of methods, that would form a visual culture studies toolbox.

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

2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)

自引率

0.00%

发文量