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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.12
- 수록면
- 1,447 - 1,453 (7page)
이용수
초록· 키워드
오류제보하기
In this paper, we propose a method for no-reference quality assessment of sports videos using 3D shearlet transform and deep residual neural networks. In the proposed method, 3D shearlet transform-based spatiotemporal features are extracted from the overlapped video blocks and applied to logistic regression concatenated with a deep residual neural network based on a conditional video block-wise constraint to learn the spatiotemporal correlation and predict the quality score. Our evaluation reveals that the proposed method predicts the video quality with higher accuracy than the conventional no-reference video quality assessment methods.
목차
ABSTRACT
1. 서론
2. 제안하는 무참조 비디오 화질 평가 방법
3. 실험 결과
4. 결론
REFERENCE
참고문헌 (10)
참고문헌 신청
T.R. Goodall, A.C. Bovik, and N.G. Paulter, “Tasking on Natural Statistics of Infrared Images,” IEEE Transaction Image Process, Vol. 25, No. 1, pp. 65-79, 2016.
J. Søgaard, S. Forchhammer, and J. Korhonen, “No-reference Video Quality Assessment Using Codec Analysis,” IEEE Transaction Circuits System Video Technology, Vol. 25, No. 10, pp. 1637-1650, 2015.
K. Zhu, C. Li, V. Asari, and D. Saupe, “No-reference Video Quality Assessment Based on Artifact Measurement and Statistical Analysis,” IEEE Transaction Circuits System Video Technology, Vol. 25, No. 4, pp. 533-546, 2014.
Wang, Chunfeng, Li Su, and W. Zhang, “COME for No-reference Video Quality Assessment,” Proceeding of IEEE Conference on Multimedia Information Processing and Retrieval, pp. 232-237, 2018.
Y. Li, L.M. Po, X. Xu, L. Feng, F. Yuan, and K.W. Cheung, “No-reference Video Quality Assessment with 3D Shearlet Transform and Convolutional Neural Networks,” IEEE Transaction Circuits System Video Technology, Vol. 26, No. 6, pp. 1044-1057, 2016.
J. Søgaard, S. Forchhammer, and J. Korhonen, “No-reference Video Quality Assessment Using Codec Analysis,” IEEE Transaction Circuits System Video Technology, Vol. 25, No. 10, pp. 1637-1650, 2015.
K. Zhu, C. Li, V. Asari, and D. Saupe, “No-reference Video Quality Assessment Based on Artifact Measurement and Statistical Analysis,” IEEE Transaction Circuits System Video Technology, Vol. 25, No. 4, pp. 533-546, 2014.
Wang, Chunfeng, Li Su, and W. Zhang, “COME for No-reference Video Quality Assessment,” Proceeding of IEEE Conference on Multimedia Information Processing and Retrieval, pp. 232-237, 2018.
Y. Li, L.M. Po, X. Xu, L. Feng, F. Yuan, and K.W. Cheung, “No-reference Video Quality Assessment with 3D Shearlet Transform and Convolutional Neural Networks,” IEEE Transaction Circuits System Video Technology, Vol. 26, No. 6, pp. 1044-1057, 2016.
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