The DOI matches its Crossref record; 141 of the 156 references it cites were found in a registry or an index.
A survey of content-based image retrieval with high-level semantics
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“The performance of a CBIR system mainly depends on these selected features [7].”
From Medical image retrieval using deep convolutional neural network (2017) · cites this paper as [7]
Citations
Cites
Wu, Y., & Vapnik, V. N. (1999) · Technometrics · doi:10.2307/1271368 · Cited by 27,236
The Elements of Statistical Learning
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Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
Normalized cuts and image segmentation
Shi, J., & Malik, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868688 · Cited by 15,935
Algorithm AS 136: A K-Means Clustering Algorithm
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Lu, Z. Q. J. (2010) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2010.00646_6.x · Cited by 12,916
On Spectral Clustering: Analysis and an algorithm
Ng, A. Y., Jordan, M. I., & Weiss, Y. (2001) · Cited by 8,159
Guttman, A. (1984) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/602259.602266 · Cited by 6,679
Content-based image retrieval at the end of the early years
Smeulders, A. W. M., Worring, M., Santini, S., Gupta, A., & Jain, R. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.895972 · Cited by 6,050
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Research works printed but not linked: 8
- J. Ren, Y. Shen, L. Guo, A novel image retrieval based on representative colors, Proceedings of the Image and Vision Computing, N.Z., November 2003, pp. 102–107.
- L. Zhang, F. Liu, B. Zhang, Support vector machine learning for image retrieval, International Conference on Image Processing, October 2001, pp. 7–10.
- W. Chang, J. Wang, Metadata for multi-level content-based retrieval, Third IEEE Meta-Data Conference, April 1999.
- D.M. Conway, An experimental comparison of three natural language color naming models, Proceedings of the East–West International Conference on Human-Computer Interactions, St. Petersburg, Russia, 1992, pp. 328–339.
- A. Mojsilovic, B. Rogowitz, Capturing image semantics with low-level descriptors, International Conference on Image Processing (ICIP), Greece, 2001, pp. 18–21. · DOI
- Chahir, 1999, Spatialized multi-visual features-based image retrieval, Int. J. Comput. Appl., 6, 190
- R. Weber, H.-J. Schek, S. Blott, A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces, Proceedings of the 24th VLDB Conference, New York, USA, 1998, pp. 194–205.
- S. Berchtold, D.A. Keim, H.-P. Kriegel, The X-tree: an index structure for high-dimensional data, Proceedings of the 22nd VLDB Conference Mumbai (Bombay), India, 1996, pp. 28–39.
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Content-Based Image Retrieval Using Deep Learning
Karur, D. J. C., Hebbal, A., & Pujari, D. J. (2022) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit228418 · Cited by 1
Metadata
- Authors
- Liu, Y., Zhang, D., Lu, G., & Ma, W.-Y.
- Affiliations
- Monash University (AU)
- Microsoft Research Asia (China) (CN)
- Corresponding author
- Liu, Ying
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2007-01
- Volume
- 40
- Issue
- 1
- Pages
- 262-282
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2046589280
- Cited by
- 1,696
- References
- 156
- Citations by year
- 2026: 12 · 2025: 36 · 2024: 37 · 2023: 49 · 2022: 44 · 2021: 73 · 2020: 73 · 2019: 91 · 2018: 109 · 2017: 132 · 2016: 129 · 2015: 137 · 2014: 138 · 2013: 121 · 2012: 130
- FWCI
- 67.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pattern Recognition (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- content-based image retrieval, high-level semantics, semantic gap, low-level feature extraction, similarity measurement, object ontology, relevance feedback, semantic templates, web image search, information retrieval evaluation
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