Qing Xu
Zitiert von
Zitiert von
Browsing and exploration of video sequences: A new scheme for key frame extraction and 3D visualization using entropy based Jensen divergence
Q Xu, Y Liu, X Li, Z Yang, J Wang, M Sbert, R Scopigno
Information Sciences 278, 736-756, 2014
A new approach for very dark video denoising and enhancement
Q Xu, H Jiang, R Scopigno, M Sbert
2010 IEEE International Conference on Image Processing, 1185-1188, 2010
Tsallis entropy-based information measures for shot boundary detection and keyframe selection
M Vila, A Bardera, Q Xu, M Feixas, M Sbert
Signal, Image and Video Processing 7 (3), 507-520, 2013
Information theory tools for image processing
M Feixas, A Bardera, J Rigau, Q Xu, M Sbert
Synthesis Lectures on Computer Graphics and Animation 6 (1), 1-164, 2014
Collaborative feature maps for interactive video search
K Schoeffmann, MJ Primus, B Muenzer, S Petscharnig, C Karisch, Q Xu, ...
International Conference on Multimedia Modeling, 457-462, 2017
A novel approach for enhancing very dark image sequences
Q Xu, H Jiang, R Scopigno, M Sbert
Signal processing 103, 309-330, 2014
Selection and 3d visualization of video key frames
Q Xu, P Wang, B Long, M Sbert, M Feixas, R Scopigno
2010 IEEE International Conference on Systems, Man and Cybernetics, 52-59, 2010
Improving interactive known-item search in video with the keyframe navigation tree
MA Hudelist, K Schoeffmann, Q Xu
International Conference on Multimedia Modeling, 306-317, 2015
A novel adaptive sampling by tsallis entropy
Q Xu, M Sbert, L Xing, J Zhang
Computer Graphics, Imaging and Visualisation (CGIV 2007), 5-10, 2007
Adaptive fuzzy weighted average filter for synthesized image
Q Xu, L Ma, W Nie, P Li, J Zhang, J Sun
International Conference on Computational Science and ITS Applications, 292-298, 2005
F-divergences driven video key frame extraction
X Luo, Q Xu, M Sbert, K Schoeffmann
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014
Selecting video key frames based on relative entropy and the extreme studentized deviate test
Y Guo, Q Xu, S Sun, X Luo, M Sbert
Entropy 18 (3), 73, 2016
A new refinement criterion for adaptive sampling in path tracing
Q Xu, M Sbert, M Feixas, R Scopigno
2010 IEEE International Symposium on Industrial Electronics, 1556-1561, 2010
A New Approach to Salt-and-Pepper Noise Removal for Color Image
Q Xu, R Zhang, M Sbert
2009 Fifth International Joint Conference on INC, IMS and IDC, 1573-1576, 2009
Key frame selection based on Jensen-Rényi divergence
Q Xu, X Li, Z Yang, J Wang, M Sbert, J Li
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
A new way to re-using paths
Q Xu, M Sbert
International Conference on Computational Science and Its Applications, 741-750, 2007
Trajectory shape analysis and anomaly detection utilizing information theory tools
Y Guo, Q Xu, P Li, M Sbert, Y Yang
Entropy 19 (7), 323, 2017
Random-valued impulse noise removal using adaptive ranked-ordered impulse detector
Q Xu, Y Li, Y Guo, S Wu, M Sbert
Journal of Electronic Imaging 27 (1), 013001, 2018
Visualization on agglomerative information bottleneck based trajectory clustering
Y Fan, Q Xu, Y Guo, S Liang
2015 19th International Conference on Information Visualisation, 557-560, 2015
Anomaly detection based on trajectory analysis using kernel density estimation and information bottleneck techniques
Y Guo, Q Xu, Y Yang, S Liang, Y Liu, M Sbert
Tech. Rep., Technical Report 108, 2014
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