The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
MCL-JCV: A JND-based H.264/AVC video quality assessment dataset
Abstract
A compressed video quality assessment dataset based on the just noticeable difference (JND) model, called MCL-JCV, is recently constructed and released. In this work, we explain its design objectives, selected video content and subject test procedures. Then, we conduct statistical analysis on collected JND data. We compute the difference between every two adjacent JND points and propose an outlier detection algorithm to remove unreliable data. We also show that each JND difference group can be well approximated by a normal distribution so that we can adopt the Gaussian mixture model (GMM) to characterize the distribution of multiple JND points. Finally, it is demonstrated by experimental results that the proposed JND analysis performed in the difference domain, called the D-method, achieves a lower BIC (Bayesian information criteria) value than the previously proposed G-method.
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Cites
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Overview of the High Efficiency Video Coding (HEVC) Standard
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FSIM: A Feature Similarity Index for Image Quality Assessment
Zhang, L., Zhang, L., Mou, X., & Zhang, D. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2109730 · Cited by 5,203
A Test for Normality of Observations and Regression Residuals
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A test for normality of observations and regression residuals
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Contrast masking in human vision
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Seshadrinathan, K., Soundararajan, R., Bovik, A. C., & Cormack, L. K. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2042111 · Cited by 1,160
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Color Image Database TID 2013: peculiarities and preliminary results
Ponomarenko, N. N., Єремеєв, О., Лукин, В. В., Egiazarian, K., Jin, L., Astola, J. T., Vozel, B., Chehdi, K., Carli, M., Battisti, F., et al. (2013) · HAL · Cited by 419
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UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content
Tu, Z., Wang, Y., Birkbeck, N., Adsumilli, B., & Bovik, A. C. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3072221 · Cited by 363
“Other similar databases targeting simulated compression and transmission distortions have been released subsequently, including EPFL-PoliMI [2], VQEG-HDTV [3], IVP [4], TUM 1080p50 [5], CSIQ [6], MCL-V [7], and MCL-JCV [8].”
Method
Metadata
- Authors
- Wang, H., Gan, W., Hu, S., Lin, J. Y., Jin, L., Song, L., Wang, P., Katsavounidis, I., Aaron, A., & Kuo, C.-C. J.
- Venue
- 2016 IEEE International Conference on Image Processing (ICIP)
- Publisher
- IEEE
- Published
- 2016-09
- Pages
- 1509-1513
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2511458122
- Cited by
- 319
- References
- 16
- FWCI
- 2.00
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Wang, H., Gan, W., Hu, S., Lin, J. Y., Jin, L., Song, L., Wang, P., Katsavounidis, I., Aaron, A., & Kuo, C.-C. J. (2016). MCL-JCV: A JND-based H.264/AVC video quality assessment dataset. 2016 IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/icip.2016.7532610
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