科研成果 by Year: 2017

2017
Li D, Jiang T. Blur-Specific No-Reference Image Quality Assessment: A Classification and Review of Representative Methods, in International Conference on Sensing and Imaging. Springer; 2017. 访问链接
Li D, Jiang T, Jiang M. Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images, in ACM on Multimedia Conference, MM 2017, October 23-27. Mountain View, CA, USA: ACM; 2017:378–386. 访问链接
Heng W, Jiang T. From image quality to patch quality: An Image-Patch Model for No-Reference image quality assessment, in IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, March 5-9. New Orleans, LA, USA: IEEE; 2017:1238–1242. 访问链接
Yang S, Zhao J, Jiang T, Wang J, Rahim T, Zhang B, Xu Z, Fei Z. An Objective Assessment Method Based on Multi-Level Factors for Panoramic Videos, in IEEE Visual Communications and Image Processing, VCIP 2017, December 10-13. St. Petersburg, FL, USA: IEEE; 2017:1–4. 访问链接
Fan Z, Chen C, Jiang T. A Semi-automatic Editing Method for Surgery Videos, in International IEEE Workshop on Multimedia Services and Technologies for E-health (MUST-EH),July 10-14. Hong Kong, China: IEEE Computer Society; 2017:115–120. 访问链接
Heng W, Jiang T. Surveillance Video Quality Assessment Based on Face Recognition, in Thematic Workshops of ACM Multimedia 2017, October 23 - 27. Mountain View, CA, USA: ACM; 2017:520–528. 访问链接
Fan Z, Jiang T, Huang T. Active Sampling Exploiting Reliable Informativeness for Subjective Image Quality Assessment Based on Pairwise Comparison. IEEE Transations on Multimedia [Internet]. 2017;19:2720–2735. 访问链接