Content Gazette - January 2016 - 13

Subjective and Objective Video Quality Assessment of 3D Synthesized Views With Texture/Depth Compression Distortion
http://dx.doi.org/10.1109/TIP.2015.2469140 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Liu, Y. Zhang, S. Hu, S. Kwong, C.-C. J. Kuo, and Q. Peng
Graph Matching Based on Stochastic Perturbation http://dx.doi.org/10.1109/TIP.2015.2469153 . . . . . . . . . . . . . . C. Leng, W. Xu, I. Cheng, and A. Basu
Fast Translation Invariant Multiscale Image Denoising http://dx.doi.org/10.1109/TIP.2015.2470601 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Li and S. Ghosal
Photometric Stereo for General BRDFs via Reﬂection Sparsity Modeling http://dx.doi.org/10.1109/TIP.2015.2471081 . . . . T.-Q. Han and H.-L. Shen
Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability http://dx.doi.org/10.1109/TIP.2015.2471182 . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A. Halimi, N. Dobigeon, and J.-Y. Tourneret
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering http://dx.doi.org/10.1109/TIP.2015.2472277 . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Yin, J. Gao, Z. Lin, Q. Shi, and Y. Guo
Joint Group Sparse PCA for Compressed Hyperspectral Imaging http://dx.doi.org/10.1109/TIP.2015.2472280 . . . . Z. Khan, F. Shafait, and A. Mian
2D Non-Separable Block-Lifting Structure and Its Application to M-Channel Perfect Reconstruction Filter Banks for
Lossy-to-Lossless Image Coding http://dx.doi.org/10.1109/TIP.2015.2472294 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T. Suzuki and H. Kudo
Stroke Detector and Structure Based Models for Character Recognition: A Comparative Study http://dx.doi.org/10.1109/TIP.2015.2473105 . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C.-Z. Shi, S. Gao, M.-T. Liu, C.-Z. Qi, C.-H. Wang, and B.-H. Xiao
A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reﬂectance Estimation
http://dx.doi.org/10.1109/TIP.2015.2474701 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Fu, Y. Liao, D. Zeng, Y. Huang, X.-P. Zhang, and X. Ding
Deformed Palmprint Matching Based on Stable Regions http://dx.doi.org/10.1109/TIP.2015.2478386 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Wu and Q. Zhao
Efﬁcient Nonnegative Tucker Decompositions: Algorithms and Uniqueness http://dx.doi.org/10.1109/TIP.2015.2478396 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. Zhou, A. Cichocki, Q. Zhao, and S. Xie
Rayleigh-Rice Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images
http://dx.doi.org/10.1109/TIP.2015.2474710 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Zanetti, F. Bovolo, and L. Bruzzone
PCANet: A Simple Deep Learning Baseline for Image Classiﬁcation? http://dx.doi.org/10.1109/TIP.2015.2475625 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . T.-H. Chan, K. Jia, S. Gao, J. Lu, Z. Zeng, and Y. Ma
Visual Quality Evaluation of Image Object Segmentation: Subjective Assessment and Objective Measure
http://dx.doi.org/10.1109/TIP.2015.2473099 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . R. Shi, K. N. Ngan, S. Li, R. Paramesran, and H. Li
Efﬁcient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors http://dx.doi.org/10.1109/TIP.2015.2478405 . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Portilla, A. Tristán-Vega, and I. W. Selesnick
Digital Image Watermarking via Adaptive Logo Texturization http://dx.doi.org/10.1109/TIP.2015.2476961 . . . . . . . M. Andalibi and D. M. Chandler
From Local Similarities to Global Coding: A Framework for Coding Applications http://dx.doi.org/10.1109/TIP.2015.2465171 . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A. Shaban, H. R. Rabiee, M. Najibi, and S. Youseﬁ
Robust, Error-Tolerant Photometric Projector Compensation http://dx.doi.org/10.1109/TIP.2015.2478388 . . . . . . . . . . . . . . . A. Grundhöfer and D. Iwai
A Surface Approximation Method for Image and Video Correspondences http://dx.doi.org/10.1109/TIP.2015.2462029 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Huang, B. Wang, W. Wang, and P. Sen
Compact and Discriminative Descriptor Inference Using Multi-Cues http://dx.doi.org/10.1109/TIP.2015.2479917 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. Han, Y. Yang, F. Wu, and R. Hong
Variational Dirichlet Blur Kernel Estimation http://dx.doi.org/10.1109/TIP.2015.2478407 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Zhou, J. Mateos, F. Zhou, R. Molina, and A. K. Katsaggelos
Weighted Part Context Learning for Visual Tracking http://dx.doi.org/10.1109/TIP.2015.2479460 . . . . . . . . . . . . . G. Zhu, J. Wang, C. Zhao, and H. Lu
Compositional Dictionaries for Domain Adaptive Face Recognition http://dx.doi.org/10.1109/TIP.2015.2479456 . . . . . . . . . Q. Qiu and R. Chellappa
Fast and Robust Object Tracking via Probability Continuous Outlier Model http://dx.doi.org/10.1109/TIP.2015.2478399 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . D. Wang, H. Lu, and C. Bo
Local Sparse Structure Denoising for Low-Light-Level Image http://dx.doi.org/10.1109/TIP.2015.2447735 . . . . . J. Han, J. Yue, Y. Zhang, and L. Bai
Horror Image Recognition Based on Context-Aware Multi-Instance Learning http://dx.doi.org/10.1109/TIP.2015.2479400 . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . B. Li, W. Xiong, O. Wu, W. Hu, S. Maybank, and S. Yan
Dynamical System Approach for Edge Detection Using Coupled FitzHugh-Nagumo Neurons http://dx.doi.org/10.1109/TIP.2015.2467206 . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Li, S. Dasmahapatra, and K. Maharatna
Multiscale Tikhonov-Total Variation Image Restoration Using Spatially Varying Edge Coherence Exponent
http://dx.doi.org/10.1109/TIP.2015.2479471 . . . . . . . . . . . . V. B. S. Prasath, D. Vorotnikov, R. Pelapur, S. Jose, G. Seetharaman, and K. Palaniappan
Visual Tracking Based on the Adaptive Color Attention Tuned Sparse Generative Object Model http://dx.doi.org/10.1109/TIP.2015.2479409 . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . C. Tian, X. Gao, W. Wei, and H. Zheng
Optimized Quasi-Interpolators for Image Reconstruction http://dx.doi.org/10.1109/TIP.2015.2478385 . . . . . . . . . . . . . . . . . . . . . . . . L. Sacht and D. Nehab
Video Stabilization Based on Feature Trajectory Augmentation and Selection and Robust Mesh Grid Warping
http://dx.doi.org/10.1109/TIP.2015.2479918 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Y. J. Koh, C. Lee, and C.-S. Kim
Tracking Human Pose Using Max-Margin Markov Models http://dx.doi.org/10.1109/TIP.2015.2473662 . . . . . . . . L. Zhao, X. Gao, D. Tao, and X. Li
Gaussian Process Regression-Based Video Anomaly Detection and Localization With Hierarchical Feature Representation
http://dx.doi.org/10.1109/TIP.2015.2479561 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . K.-W. Cheng, Y.-T. Chen, and W.-H. Fang
A Class of Manifold Regularized Multiplicative Update Algorithms for Image Clustering http://dx.doi.org/10.1109/TIP.2015.2457033 . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Yang, Z. Yi, X. He, and X. Li

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Table of Contents for the Digital Edition of Content Gazette - January 2016
