The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Photo and Video Quality Evaluation: Focusing on the Subject
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Citations
Cites
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
The Nature of Statistical Learning Theory
Vapnik, V. N. (2000) · Springer eBooks · doi:10.1007/978-1-4757-3264-1 · Cited by 10,696
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
An information fidelity criterion for image quality assessment using natural scene statistics
Sheikh, H. R., Bovik, A. C., & de Veciana, G. (2005) · IEEE Transactions on Image Processing · doi:10.1109/tip.2005.859389 · Cited by 1,399
Studying Aesthetics in Photographic Images Using a Computational Approach
Datta, R., Joshi, D., Li, J., & Wang, J. Z. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744078_23 · Cited by 1,107
No-reference perceptual quality assessment of JPEG compressed images
Wang, Z., Sheikh, H. R., & Bovik, A. C. (2003) · Proceedings. International Conference on Image Processing · doi:10.1109/icip.2002.1038064 · Cited by 834
The Design of High-Level Features for Photo Quality Assessment
Ke, Y., Tang, X., & Jing, F. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06) · doi:10.1109/cvpr.2006.303 · Cited by 630
Self-citationBlind Motion Deblurring Using Image Statistics
Levin, A. (2007) · Advances in Neural Information Processing Systems 19 · doi:10.7551/mitpress/7503.003.0110 · Cited by 396
Cohen-Or, D., Sorkine, O., Gal, R., Leyvand, T., & Xu, Y.-Q. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1141933 · Cited by 341
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
Image Aesthetic Assessment: An experimental survey
Deng, Y., Loy, C. C., & Tang, X. (2017) · IEEE Signal Processing Magazine · doi:10.1109/msp.2017.2696576 · Cited by 306
“Regional image features [13], [14], [15] later prove to be effective in complementing the global features.”
BackgroundMethodInfluentialSelf-citationNo-reference perceptual image quality metric using gradient profiles for JPEG2000
Liang, L., Wang, S., Chen, J., Ma, S., Zhao, D., & Gao, W. (2010) · Signal Processing: Image Communication · doi:10.1016/j.image.2010.01.007 · Cited by 74
Aesthetic perception analysis of destination pictures using #beautifuldestinations on Instagram
Hauser, D., Leopold, A., Egger, R., Ganewita, H., & Herrgessell, L. (2022) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2022.100702 · Cited by 71
Ma, S., Wei, Z., Tian, F., Fan, X., Zhang, J., Shen, X., Lin, Z., Huang, J., Měch, R., Samaras, D., et al. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300701 · Cited by 24
Metadata
- Authors
- Luo, Y., & Tang, X.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Pages
- 386-399
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2104915826
- Cited by
- 444
- References
- 14
- FWCI
- 14.42
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Photo and Video Quality Evaluation: Focusing on the Subject. https://app.cochat.ai/papers/10.1007/978-3-540-88690-7_29
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- Luo, Y., & Tang, X. (2008). Photo and Video Quality Evaluation: Focusing on the Subject. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-88690-7_29
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.
