A Random Forest-based No-Reference Quality Metric for UGC Videos
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-31407-0_41
Reference22 articles.
1. Barman, N., Khan, N., Martini, M.G.: Analysis of spatial and temporal information variation for 10-bit and 8-bit video sequences. In: International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, pp. 1–6. IEEE (2019)
2. Chen, B., Zhu, L., Li, G., Lu, F., Fan, H., Wang, S.: Learning generalized spatial-temporal deep feature representation for no-reference video quality assessment. IEEE Trans. Circuits Syst. Video Technol. (2021)
3. Chen, Y., Wu, K., Zhang, Q.: From QoS to QoE: a tutorial on video quality assessment. IEEE Commun. Surv. Tutor. 17(2), 1126–1165 (2014)
4. Chikkerur, S., Sundaram, V., Reisslein, M., Karam, L.J.: Objective video quality assessment methods: a classification, review, and performance comparison. IEEE Trans. Broadcast. 57(2), 165–182 (2011)
5. ITU-T Recommendation, P.: 910: Subjective video quality assessment methods for multimedia applications (2008)
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