The DOI matches its Crossref record.
Analyzing the Subject of a Picture: A Theoretical Approach
Abstract
This paper suggests a theoretical basis for identifying and classifying the kinds of subjects a picture may have, using previously developed principles of cataloging and classification, and concepts taken from the philosophy of art, from meaning in language, and from visual perception. The purpose of developing this theoretical basis is to provide the reader with a means for evaluating, adapting, and applying presently existing indexing languages, or for devising new languages for pictorial materials; this paper does not attempt to invent or prescribe a particular indexing language.
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Citations
Cited by
Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics
Hodosh, M., Young, P., & Hockenmaier, J. (2013) · Journal of Artificial Intelligence Research · doi:10.1613/jair.3994 · Cited by 1,314
“The Word Real Is No Longer Real”: Deepfakes, Gender, and the Challenges of AI-Altered Video
Wagner, T. L., & Blewer, A. (2019) · Open Information Science · doi:10.1515/opis-2019-0003 · Cited by 151
Metadata
- Authors
- Shatford, S.
- Venue
- Cataloging & Classification Quarterly
- Publisher
- Informa UK Limited
- Published
- 1986-03-10
- Volume
- 6
- Issue
- 3
- Pages
- 39-62
- ISSN
- 0163-9374 (ISSN-L)
- 1544-4554
- OpenAlex
- W2142468277
- Cited by
- 394
- References
- 0
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Analyzing the Subject of a Picture: A Theoretical Approach. https://app.cochat.ai/papers/10.1300/j104v06n03_04
- The paper
- Shatford, S. (1986). Analyzing the Subject of a Picture: A Theoretical Approach. Cataloging & Classification Quarterly. https://doi.org/10.1300/j104v06n03_04
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
