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Air Pollution Monitoring By Integrating Local and Global Information in Self-Adaptive Multiscale Transform Domain

IEEE Transactions on Multimedia 2025年

作者： Gu, Ke Liu, Yuchen Liu, Hongyan Liu, Bo Qiao, Junfei Lin, Weisi Zhang, Wenjun Beijing University of Technology School of Information Science and Technology Engineering Research Center of Intelligent Perception and Autonomous Control of Ministry of Education Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Artificial Intelligence Institute Beijing100124 China Massey University School of Mathematical and Computational Sciences New Zealand Nanyang Technological University College of Computing and Data Science Singapore Shanghai Jiao Tong University Institute of Image Communication and Information Processing Shanghai China

As the deadliest form of pollution, air pollution had a prolonged severe damage to the human health and life safety of nearly 99% of the world's population. Facing to the problem that billions of tons of pollutants discharged into the air per year by industrial activities, this paper proposed a novel image-based air pollution monitor (IAPM) by incorporating local and global information in the self-adaptive multiscale transform domain, so as to achieve the timely and effective leakage detection of typical air pollutants from a single image. To be specific, this paper first developed a screen-shaped module according to two significant findings in visual neuroscience, which include the high sensitivity of human eyes to horizontal and vertical stimuli and the center-surround inhibition, by designing and fusing the square module, horizontal strip module and vertical strip module parallelly for simulating the behaviour of human eyes to extract local features. Second, the learnable weights and proportional mapping were applied to incorporate the screen-shaped module and lightweight vision transformer as backbone, towards more richly exploiting and fusing local and global information just as the way a brain perceives external stimuli. Third, a new self-adaptive multiscale transform domain method was devised based on two motivations from the visual characteristics of multiscale perception and the brain characteristics of self-adaptive domain transform to modify the backbone by using the operations of pooling and pointwise convolution. Extensive experiments implemented on the datasets of carbon particulate matters and ethylene leakage confirmed the superior monitoring performance of the proposed IAPM model beyond the state-of-the-art (SOTA) peers by an accuracy gain of about 4%. Furthermore, the proposed IAPM model only required 0.089 GFLOPs and 0.15 million model parameters, remarkably outperforming SOTA competitors in computational efficiency and storage resources. © 1999-2

关键词： Information leakage

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Stereo matching using aggregated likelihood and multi-scale prior

Stereo matching using aggregated likelihood and multi-scale ...

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2012 3rd IEEE/IET International Conference on Audio, Language and image processing, ICALIP 2012

作者： Wang, Liang Liu, Tianliang Zhu, Xiuchang Jiangsu Provincial Key Lab. of Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9781467301718

This paper proposes a novel global stereo matching method using aggregated likelihoods and multi-scale priors. The likelihoods of dense stereo correspondences as data term can be robustly expressed by aggregated matching costs based on Weber feature descriptors in an asymmetrical linear filtering model. The multi-scale priors on disparity surface are designed to capture scene smooth term from larger neighborhood besides 4-connected neighborhood. The presented stereo approach being relatively simple does not rely on image segmentation and any scene semantic analysis. Experiments demonstrate that the proposed stereo matching algorithm can produce the dense smooth disparity results comparable to those of excellent stereo matching techniques. © 2012 IEEE.

关键词： image segmentation

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Robust piecewise planar stereo with modified segmentation cues in urban scenes

Robust piecewise planar stereo with modified segmentation cu...

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2nd International Conference on Multimedia Technology, ICMT 2011

作者： Jiao, Zengtao Liu, Tianliang Zhu, Xiuchang Jiangsu Provincial Key Lab. of Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9781612847740

This paper proposes a robust piecewise planar multiview stereo (MVS) approach specifically designed for urban scenes. These architectural scenes are problematic for traditional computer vision methods. In our work, we focus on exploiting some useful constraints of artificial structures such as piecewise coplanarity and boundaries of superpixels. Firstly, we reconstruct quasi-dense 3D point clouds of urban scenes using patches-based MVS (PMVS) method. Secondly, a set of 3D candidate planes are generated by the obtained point clouds without any assumption on the normals of planes, unlike famous Manhattan-world assumption. Then, we segment multi-view images with watershed algorithm and modify the contours of superpixels by the classical Douglas-Peucker approximation algorithm to fit the contours to the boundaries of objects in urban scenes as much as possible. Finally, we use the candidate planes as labels and superpixels as nodes to formulate our Markov Random Field (MRF) optimization problem, then a piecewise planar depth map for each view is recovered by solving the optimization problem using graph-cuts. Experiments show that our method outperforms previous approaches in terms of accuracy. © 2011 IEEE.

关键词： Superpixels

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Refined spatial error concealment with directional entropy

Refined spatial error concealment with directional entropy

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5th International Conference on Wireless communications, Networking and Mobile Computing, WiCOM 2009

作者： Xuefeng, Zhan Xiuchang, Zhu Image Processing and Image Communication Lab. Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781424436934

A refined error concealment method for intra frame in H.264 is proposed in this work. Directional entropy of neighboring edges is used to classify the content of the lost block. Some techniques aimed to shorten the computation time without degrading quality of reconstructed video are presented to enforce multi-directional interpolation. As for block with high texture, either bilinear or multi-directional interpolation alone is not so well to recover, we integrate the two methods to get the final result. Experimental results demonstrate the efficiency and better performance of proposed method as compared to other interpolation based methods. ©2009 IEEE.

关键词： Interpolation

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Fuzzy reasoning based temporal error concealment

Fuzzy reasoning based temporal error concealment

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6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Zhan, Xuefeng Zhu, Xiuchang Nanjing University of Posts and Telecommunications Image Processing and Image Communication Lab. Nanjing China

ISBN: (纸本)9780769537351

A novel temporal error concealment based on fuzzy reasoning is proposed in this paper. On temporal error concealment, motion vector (MV) of the lost block can be selected from candidate MVs. Generally, side match distortion (SMD) which reflects the continuity across the boundary and sum of absolute difference (SAD) which shows the degree of similarity of matching area are two widely used criterions to make the decision. Each criterion describes the status partly. Combining these two measures, a refined measure based on fuzzy reasoning is calculated to balance the effects of SMD and SAD. According to the experimental results, our method can perform better than the others. © 2009 IEEE.

关键词： Errors

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Learning Dual-Domain Calibration and Distance-Driven Correlation Filter:A Probabilistic Perspective for UAV Tracking

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Computers, Materials & Continua 2023年第12期77卷 3741-3764页

作者： Taiyu Yan Yuxin Cao Guoxia Xu Xiaoran Zhao Hu Zhu Lizhen Deng Jiangsu Province Key Lab on Image Processing and Image Communication Nanjing University of Posts and TelecommunicationsNanjingChina School of Computer Science Qufu Normal UniversityQufuChina National Engineering Research Center of Communication and Network Technology Nanjing University of Posts and TelecommunicationsNanjingChina

Unmanned Aerial Vehicle(UAV)tracking has been possible because of the growth of intelligent information technology in smart cities,making it simple to gather data at any time by dynamically monitoring events,people,the environment,and other aspects in the *** traditional filter creates a model to address the boundary effect and time filter degradation issues in UAV tracking *** these methods ignore the loss of data integrity terms since they are overly dependent on numerous explicit previous regularization *** light of the aforementioned issues,this work suggests a dual-domain Jensen-Shannon divergence correlation filter(DJSCF)model address the probability-based distance measuring issue in the event of filter *** two-domain weighting matrix and JS divergence constraint are combined to lessen the impact of sample imbalance and *** new tracking models that are based on the perspectives of the actual probability filter distribution and observation probability filter distribution are proposed to translate the statistical distance in the online tracking model into response *** model is roughly transformed into a linear equality constraint issue in the iterative solution,which is then solved by the alternate direction multiplier method(ADMM).The usefulness and superiority of the suggested strategy have been shown by a vast number of experimental findings.

关键词： Dual-domain weighting distance measure correlation filter ADMM

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SSIM-based content adaptive frame skipping for low bit rate H.264 video coding

SSIM-based content adaptive frame skipping for low bit rate ...

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2010 IEEE 12th International Conference on communication Technology, ICCT'2010

作者： Cui, Ziguan Zhu, Xiuchang Image Processing and Image Communication Lab. Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781424468690

Conventional rate control schemes for H.264/AVC video coding usually regulate output bit rate to match channel bandwidth by adjusting quantization parameter at fixed full frame rate, and the passive frame skipping to avoid buffer overflow usually occurs when scene changes or high motions exist in video sequences especially at low bit rate, which degrades spatial-temporal quality and causes jerky effect. In this paper, an active content adaptive frame skipping scheme is proposed instead of passive methods, which skips subjectively trivial frames by structural similarity (SSIM) measurement. The saved bits from skipped frames are allocated to coded key ones to enhance their spatial quality, and the skipped frames are well recovered from adjacent key ones at the decoder side to maintain constant frame rate. Experimental results show that the proposed scheme acquires better and more consistent spatial-temporal quality both in objective (PSNR) and subjective (SSIM) sense with low complexity compared to classic fixed frame rate control methods JVT-G012. © 2010 IEEE.

关键词： Quality control

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A low complexity mb layer rate control algorithm based on motion similarity for H.264

A low complexity mb layer rate control algorithm based on mo...

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2010 International Conference on Wireless communications and Signal processing, WCSP 2010

作者： Cui, Ziguan Zhu, Xiuchang Image Processing and Image Communication Lab. Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781424475551

This paper presents a simple but effective macroblock (MB) layer rate control (RC) scheme for H.264/AVC with low complexity. First, to reduce computation cost and inaccuracy of linear mean absolute difference (MAD) prediction at MB layer adopted in JVT-G012, MAD is computed directly according to the difference between current original MB and the reference blocks pointed by estimated MV using intensive motion similarity. Then, MB header bits are predicted based on spatial-temporal correlation because it is not constant due to complicated coding modes and high compression efficiency of H.264. Finally, MB target bit rate is allocated according to its complexity and the parameters of quadratic R-D model are updated using coded MBs with high spatial-temporal correlation and motion similarity not the last coded data points. Simulation results show that the proposed scheme achieves an average PSNR gain of 0.37 dB, meets better with target bit rate, produces more consistent quality for the MBs in a frame and thus improves visual quality compared to classic JVT-H017 RC algorithm, simultaneously has lower computation complexity and suits for real-time application. ©2010 IEEE.

关键词： image coding

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A novel improved method of pixel-domain Wyner-Ziv video coding

A novel improved method of pixel-domain Wyner-Ziv video codi...

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25th PCS: Picture Coding Symposium 2006, PCS2006

作者： Zongliang, Gan Lina, Qi Xiuchang, Zhu Province Key Lab. on Image Processing and Image Communication Communication and Information Engineering Institute Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)300018726X

In distributed video coding (DVC), efficient compression is achieved by exploiting source statistics at the decoder only, which is radically different from conventional video coding. The pixel-domain Wyner-Ziv video coding is a kind of typical distributed video coding scheme, in which the encoder can be very simple and the complexity of the coder is transferred to the decoder. The performance of pixel-domain Wyner-Ziv video codec is greatly dependent on quality of side information and reconstruction arithmetic. In this paper we propose an improved method of pixel-domain Wyner-Ziv video coding based on side information estimate and decoding reconstruction at the decoder. The results of simulation tests show that better visual quality and average 1.5dB gain can be achieved by applying the proposed method.

关键词： image coding

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Multi-stage frame error concealment algorithm for H.264/AVC based on estimated MB feature

Multi-stage frame error concealment algorithm for H.264/AVC ...

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5th International Conference on Wireless communications, Networking and Mobile Computing, WiCOM 2009

作者： Ziguan, Cui Xiuchang, Zhu Image Processing and Image Communication Lab. Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781424436934

This paper proposes a novel multi-stage frame error concealment (EC) algorithm for H.264/AVC based on estimated MB modes and MVs. The proposed method first divides the lost frame into three regions according to MB features in previous frame: which are regular motion region within the object and background, irregular motion region mainly including border areas between various parts of moving object and background, and intra-coded MB region. Then we recover the three regions sequentially by utilizing suitable schemes, motion vector copy method for regular motion region, improved optical flow based method for irregular motion region, and bilinear interpolation (BI) or directional interpolation (DI) method for intra-coded MB region. Experimental results show that our proposed adaptive algorithm can effectively utilize the advantages of classic methods and obtain better recovery performance both in subjective and objective video quality at low computational complexity, and our method effectively prevents the error propagation in the following frames and thus improves the reconstruction quality of the entire video sequence. ©2009 IEEE.

关键词： Adaptive algorithms

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