Rethinking image indexing?

Christensen, Hans Dam

doi:10.1002/asi.23812

Cited by 5 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Tabel 1. Panofsky/Shatford klassifikationsmatrixen (Stewart, 2010) Vores mål er ikke at anbefale matrixen kun at påpege, at der er forskellige forståelser af niveauerne i et billede (Christensen, 2017).…”

Section: Social Media Services Facilitate the Development Of Social Nunclassified

Billedindeksering og sociale medier

Ørnager

Lund

2019

NTIK

View full text Add to dashboard Cite

This article focuses on the methodologies, organization, and communication of digital image collection research that utilizes social media content. “Image” is here understood as a cultural, conventional, and commercial—stock photo—representation. Two methodologies i.e. PRISMA and Grounded Theory are employed to examine, categorize and analyze images and comprehend how humans consider them. The literature review covers research since 2005, when major social media platforms emerged. It demonstrates that the images on social media have not changed the overall direction of research into image indexing and retrieval, though new topics on crowdsourcing and tagging have emerged in it. A citation analysis includes an overview of co-citation maps that demonstrate the nexus of image research literature and the journals in which they appear. The results point to new possibilities influencing the research by providing large image collections as new testbeds for improving or testing research hypothesis on a new scale.

show abstract

Section: Social Media Services Facilitate the Development Of Social Nunclassified

Billedindeksering og sociale medier

Ørnager

Lund

2019

NTIK

View full text Add to dashboard Cite

show abstract

“…To overcome these search and retrieval challenges, the deep semantics of objects and elements within the images must be revealed and represented (Clark, 2015). Because of the rich semantics within cultural heritage images, in addition to just locating a specific object within images, a systematic annotation framework must be constructed to model the objects'/ elements' multilayered semantic information and connect them effectively and precisely (Christensen, 2017;Rafferty, 2019).…”

Section: Introductionmentioning

confidence: 99%

Data modeling and evaluation of deep semantic annotation for cultural heritage images

Wang

Song

Liu

et al. 2021

View full text Add to dashboard Cite

PurposeTo meet the emerging demand for fine-grained annotation and semantic enrichment of cultural heritage images, this paper proposes a new approach that can transcend the boundary of information organization theory and Panofsky's iconography theory.Design/methodology/approachAfter a systematic review of semantic data models for organizing cultural heritage images and a comparative analysis of the concept and characteristics of deep semantic annotation (DSA) and indexing, an integrated DSA framework for cultural heritage images as well as its principles and process was designed. Two experiments were conducted on two mural images from the Mogao Caves to evaluate the DSA framework's validity based on four criteria: depth, breadth, granularity and relation.FindingsResults showed the proposed DSA framework included not only image metadata but also represented the storyline contained in the images by integrating domain terminology, ontology, thesaurus, taxonomy and natural language description into a multilevel structure.Originality/valueDSA can reveal the aboutness, ofness and isness information contained within images, which can thus meet the demand for semantic enrichment and retrieval of cultural heritage images at a fine-grained level. This method can also help contribute to building a novel infrastructure for the increasing scholarship of digital humanities.

show abstract

Subject Access to Images and Exploratory Search

Cuna

2017

Communications in Computer and Information Science

View full text Add to dashboard Cite

Rethinking image indexing?

Cited by 5 publications

References 21 publications

Billedindeksering og sociale medier

Billedindeksering og sociale medier

Data modeling and evaluation of deep semantic annotation for cultural heritage images

Subject Access to Images and Exploratory Search

Contact Info

Product

Resources

About