The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Studying Aesthetics in Photographic Images Using a Computational Approach
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Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Daubechies, I. (1992) · doi:10.1137/1.9781611970104 · Cited by 15,979
Arnheim, R. (1974) · doi:10.1525/9780520351271 · Cited by 1,997
Cited by
AVA: A large-scale database for aesthetic visual analysis
Murray, N., Marchesotti, L., & Perronnin, F. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6247954 · Cited by 936
Affective image classification using features inspired by psychology and art theory
Machajdik, J., & Hanbury, A. (2010) · Proceedings of the 18th ACM international conference on Multimedia · doi:10.1145/1873951.1873965 · Cited by 852
Large-scale visual sentiment ontology and detectors using adjective noun pairs
Borth, D., Ji, R., Chen, T., Breuel, T., & Chang, S.-F. (2013) · Proceedings of the 21st ACM international conference on Multimedia · doi:10.1145/2502081.2502282 · Cited by 851
Measuring human perceptions of a large-scale urban region using machine learning
Zhang, F., Zhou, B., Liu, L., Liu, Y., Fung, H. H., Lin, H., & Ratti, C. (2018) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2018.08.020 · Cited by 810
Photo and Video Quality Evaluation: Focusing on the Subject
Luo, Y., & Tang, X. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88690-7_29 · Cited by 444
Metadata
- Authors
- Datta, R., Joshi, D., Li, J., & Wang, J. Z.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2006
- Pages
- 288-301
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1511924373
- Cited by
- 1,107
- References
- 3
- FWCI
- 13.29
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Datta, R., Joshi, D., Li, J., & Wang, J. Z. (2006). Studying Aesthetics in Photographic Images Using a Computational Approach. Lecture Notes in Computer Science. https://doi.org/10.1007/11744078_23
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.
