FuzzyPhoto

模糊照片

• 批准号: AH/J004367/1
• 负责人: Stephen Brown
• 金额: $ 39.98万
• 依托单位: De Montfort University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=AH%2FJ004367%2F1
• 关键词: FuzzyPhoto

Study of photography as cultural history is relatively new and under-exploited discipline. It is important because the early history of photography coincides with significant global scientific, industrial, artistic, social, political and economic changes that inform understanding of the spread of scientific ideas, the relationship between science and art, the interplay between new technologies, popular culture and commerce, and the creation of personal and national identities. Access to photohistorical resources is essential for future cross-disciplinary research but these resources are often ephemeral, fragile, widely dispersed, poorly documented and difficult to access, although of enormous scope. Poor and inconsistent levels of documentation make it difficult to assess the significance of material beyond the relatively small nucleus of already well-known and heavily researched artists and scientists. However, image collections are increasingly being published online and search engines are becoming increasingly powerful, creating a timely opportunity to match photographs with other textual sources that can enrich our understanding without travel to numerous archives. De Montfort University has created an extensive corpus of digital resources for researchers of 19th century photography comprising photographic exhibition catalogues and collections of letters. This includes two databases of the earliest known photographic exhibition catalogues: Photographs Exhibited in Britain 1839-1865 (PEIB) http://peib.dmu.ac.uk and Exhibitions of the Royal Photographic Society 1870-1915 (ERPS) http://erps.dmu.ac.uk. These combined resources comprise the single most comprehensive record of British photographic exhibitions at this time. But these early exhibition catalogues were often devoid of pictures. A further problem is that amongst the visual arts, photography is unique - multiple versions of the same image can be produced and exhibited simultaneously at diverse locations. Photographs were commonly exhibited/published more than once, at different times, with different titles and even by different people, thus associating a specific exhibition catalogue reference with a specific image published elsewhere can be a complex and involved process. This project will develop and test computer based "finding aids" that will be able to recommend potential matches between historical exhibition catalogue entries and images of photographs in online collections even where there is not a precise match. Incomplete data sets and imprecise information are common problems in arts and humanities research so the results of this research will be widely applicable across a wide range of subjects, allowing researchers to save considerable time and travel in the early stages of their research when identifying material most likely to be of interest to their studies and suggesting possible connections that would not otherwise be easily recognised using conventional research methods. The project outcomes will enable museums, libraries and archives to enhance the value and utility of their collections and of their online services through increased information, improved accuracy and functionality. Within the UK alone over 10,000 galleries, museums and archives could potentially benefit from this research. Within the private sector, beneficiaries will include commercial dealers and auction houses concerned with attribution and value. More accurate identification of artefacts such as photographs can help buyers and sellers and even help to prevent inadvertent export of nationally important treasures. The general public will benefit from improved accuracy and detail of information about objects in museums, libraries and archives, and lay communities of interest such as those carrying out genealogical or local history research will benefit in particular from increased access and awareness of information about historical photographs and related objects.

作为文化史的摄影研究是一门相对较新且尚未开发的学科。这一点很重要，因为摄影的早期历史与全球科学，工业，艺术，社会，政治和经济的重大变化相吻合，这些变化有助于理解科学思想的传播，科学与艺术之间的关系，新技术，流行文化和商业之间的相互作用，以及个人和国家身份的创造。获取照片历史资源对于未来的跨学科研究至关重要，但这些资源通常是短暂的，脆弱的，广泛分散的，记录不良的，难以访问的，尽管范围很大。由于文献资料的贫乏和不一致，很难评估那些已经广为人知并经过大量研究的艺术家和科学家的相对较小的核心之外的材料的重要性。然而，越来越多的图像集被发布在网上，搜索引擎变得越来越强大，创造了一个及时的机会，以匹配照片与其他文本来源，可以丰富我们的理解，而无需前往众多的档案。德蒙福特大学为19世纪摄影的研究人员创建了一个广泛的数字资源库，包括摄影展览目录和信件收藏。这包括两个已知最早的摄影展览目录数据库：1839-1865年在英国展出的照片（PEIB）http://peib.dmu.ac.uk和1870-1915年皇家摄影学会展览（ERPS）http://erps.dmu.ac.uk。这些综合资源构成了当时英国摄影展览最全面的记录。但这些早期的展览目录往往缺乏图片。另一个问题是，在视觉艺术中，摄影是独特的-同一图像的多个版本可以在不同的地点同时制作和展出。照片通常不止一次地在不同的时间以不同的标题甚至由不同的人展出/出版，因此将特定的展览目录参考与其他地方出版的特定图像相关联可能是一个复杂而复杂的过程。该项目将开发和测试基于计算机的“查找辅助工具”，该工具将能够推荐历史展览目录条目与在线收藏中的照片图像之间的潜在匹配，即使没有精确的匹配。不完整的数据集和不精确的信息是艺术和人文研究中常见的问题，因此本研究的结果将广泛适用于广泛的学科，允许研究人员在其研究的早期阶段节省大量的时间和旅行，以确定最有可能对其研究感兴趣的材料，并提出可能的联系，否则使用常规方法不容易识别。研究方法项目成果将使博物馆、图书馆和档案馆能够通过增加信息、提高准确性和功能性，提高其收藏品及其在线服务的价值和效用。仅在英国，就有超过10，000家画廊，博物馆和档案馆可能从这项研究中受益。在私营部门内，受益者将包括与归属和价值有关的商业交易商和拍卖行。更准确地识别照片等文物可以帮助买卖双方，甚至有助于防止国家重要珍宝的意外出口。公众将受益于博物馆、图书馆和档案馆中有关物品的信息的准确性和详细性的提高，而从事家谱或地方历史研究的非专业团体将特别受益于对有关历史照片和相关物品的信息的更多获取和认识。

项目成果

Words, words. They're all we have to go on: Image finding without the pictures

• DOI: 10.1093/llc/fqv018
• 发表时间: 2016-12
• 期刊: Digit. Scholarsh. Humanit.
• 作者: Stephen Brown

Improving Record Matching Across Disparate Historical Resources

改进不同历史资源之间的记录匹配

• 发表时间: 2012
• 作者: Croft D

Improving record matching in imprecise and uncertain datasets

• DOI: 10.1093/llc/fqs028
• 发表时间: 2012-12
• 期刊: Lit. Linguistic Comput.
• 作者: David Croft

A fast geometric defuzzication operator for large scale information retrieval

一种用于大规模信息检索的快速几何去模糊算子

• DOI: 10.1109/fuzz-ieee.2014.6891581
• 发表时间: 2014
• 作者: Coupland S

Picture this: Matching photographic records across collections

想象一下：匹配不同收藏的摄影记录

• 期刊: Exchanging Photographs, Making Knowledge. De Montfort University, Leicester, 20-21 June 2014
• 作者: Brown S