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2023 IEEE International Conference on visual communications and image processing, VCIP 2023

作者： Zeng, Ziyi Yu, Lu Zhejiang University Hangzhou China

ISBN: (纸本)9798350359855

With the development of neural networks, the coding efficiency of learned image compression methods gradually exceeds that of traditional image codecs that are carefully designed and optimized by experts. However, the deep image compression model with an invariable network structure and fixed network parameters can only cover a limited range of bit rates. Using the same network structure for different bit rate ranges leads to sub-optimal coding efficiency. Meanwhile, the more complex network structure and the increase of network parameters cause higher model complexity, which makes it difficult for network training and practical application. In this paper, a new perspective is proposed to solve the above challenges. The idea of variable network architecture is introduced to the field of learned image compression. We devise two strategies with variable network architecture, which improve the coding performance of the learned image compression model from the coding efficiency and complexity respectively. Compared to the image compression method of fixed network structure, our first approach attains an average BDPSNR of 0.771dB and an average BDBR of-14.876%. The second attains an average BDPSNR of 0.320dB and an average BDBR of-5.471%. These results demonstrate the effectiveness of variable network structure in improving coding efficiency and controlling model complexity. © 2023 IEEE.

关键词： Network architecture

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Bird's-Eye-View-Based LiDAR Point Cloud Coding for Machines

Bird's-Eye-View-Based LiDAR Point Cloud Coding for Machines

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2023 IEEE International Conference on visual communications and image processing, VCIP 2023

作者： Gao, Xiang Zhu, Zhiwei Yu, Lu Zhejiang University Hangzhou China Zhejiang University College of Information Science and Electronic Engineering China Zhejiang Provincial Key Laboratory of Information Processing Hangzhou310027 China

ISBN: (纸本)9798350359855

Recently, there has been a growing interest in image/video coding tailored for intelligent analysis tasks, such as image/Video Coding for Machines (ICM/VCM). These approaches have shown remarkable results when compared to human perception-based coding methods. However, point cloud coding methods for machine intelligence have not been extensively studied. Inspired by current LiDAR point cloud intelligent analysis methods which convert point cloud into bird's-eye-view (BEV) perspective, we propose an end-To-end learnt point cloud coding framework for 3D machine intelligent tasks with BEV representation, named PC4M. Specifically, the PC4M system consists of a LiDAR encoder, a learnt BEV feature codec and a BEV region proposal network with a task-specific head. To achieve better rate-distortion performance for analysis tasks, we propose an efficient Res-NeXt fusion block with powerful multi-scale modeling ability to compress sparse BEV features, and design a long-distance adaptive attention module by using VanAtten block. Experimental results demonstrate that our method outperforms the state-of-The-Art MPEG standard Geometry-based Point Cloud Coding (G-PCC) on the object detection and BEV map segmentation by 83.12% and 85.32% of BD-rate gain on nuScenes, respectively. To the best of our knowledge, this is the first end-To-end learnt task-oriented point cloud codec. © 2023 IEEE.

关键词： Motion Picture Experts Group standards

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Bibliometric Analysis of Road Distress Detection Based on Citespace 24

Bibliometric Analysis of Road Distress Detection Based on Ci...

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5th International Conference on Computer Science and Management Technology, ICCSMT 2024

作者： Li, Yaoye Zhang, Yinbo He, Rong Ma, Lianxia Chen, Fang Xinjiang communications Construction Group Co. Ltd. Xinjiang Urumqi China Xinjiang Key Laboratory of Transportation Prefabricated Construction and Maintenance Xinjiang Urumqi China Xinjiang University Xinjiang Urumqi China

ISBN: (纸本)9798400709999

To analyze the research progress in the field of road disease detection, this article searched the Web of Science Core Collection database for papers related to road disease detection from 2000 to *** CiteSpace software, a visual analysis was conducted on the 247 retrieved documents, focusing on annual publication numbers, publishing countries, core institutions and authors, keywords, burst words, and timeline mapping to explore the current status and trends in this *** findings indicate that since 2004, the overall research trend in road disease detection has been on an upward trajectory, with a notable increase in the number of research papers published in 2021, reflecting a significant surge in research ***, China, the United States, and Italy have been the most prolific in research *** leading research institutions are primarily scientific and technological academies, with Chang'an University taking a dominant position in the field of road disease *** keyword co-occurrence analysis, burst detection, and keyword clustering analysis, it was determined that disease detection technology, deep learning and machine learning, image processing and intelligent analysis, and system integration and development have been the research hotspots in the road disease detection field from 2000 to *** is anticipated that future research will evolve towards the directions of performance evaluation, multimodal data fusion, and real-time monitoring and analysis. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Data fusion

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Integrated data detection and video restoration for optical camera communications

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DIGITAL SIGNAL processing 2023年第1期141卷

作者： Ximenes, Leandro R. Laredo, Bruno A. Arthur, Rangel State Univ Campinas UNICAMP R Paschoal Marmo 1888 BR-13484332 Limeira SP Brazil

Optical Camera Communication (OCC) technology enables the use of image Sensors (IS) with Visible Light communications (VLC), one of the key technologies for the Sixth Generation (6G) of mobile communications. For Screen-to-Camera (S2C) applications in which Light-Emitting Diode (LED) screens modulate information symbols onto video pixels, increasing either the (transmitted) image resolution or frame rate may have a negative effect on the bit error performance and visual quality of OCC-encoded videos. This work proposes a novel OCC/S2C coding approach that lets both symbol transmission and video quality can be improved simultaneously. For this dual task, a Parallel Factor Analysis (PARAFAC) decomposition is applied for the first time in the literature to model an OCC system. In addition to validating the correct formulation of the proposed models, hypotheses, and algorithms, computational simulations demonstrate that increasing the number of video frames can result in time diversity gains. In accordance with the parameters of the system, this work also addresses the practical aspects of data rate, data volume, and computational complexity of the receiver. & COPY;2023 Elsevier Inc. All rights reserved.

关键词： Optical wireless communication Signal processing Camera Video signal processing

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A Novel Approach for Approving Constant image Brightness

A Novel Approach for Approving Constant Image Brightness

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International Conference on Wireless communications and Signal processing

作者： Zhao, Ling Zheng, Yuhui Sun, Quansen Xia, Deshen NJUST Sch Comp Sci & Technol Nanjing Peoples R China

ISBN: (纸本)9781424448562

Stereo vision is a technique used to recover depth from a stereo pair, which can be useful in many different domains (cartography, robotics, aerial navigation). A large amount of methods take as basic assumption that intensity of corresponding points in both images are equal. But the assumption is generally false, for the possible changes of luminance between the images of the stereo pair. Consequently, if we want to recover depth from a stereo pair precisely, it is useful to give them the same dynamic range and luminance first. This paper presents a novel algorithm based on adaptive midway image equalization (A-MIE). This proposed algorithm extends on the midway image equalization studied by Delon (2004). Our method allows every block of each image to adapt to its neighboring region, so that high contrast based on human visual system can be obtained for all locations and can modify the histogram of the image pair the same dynamic range. Both theoretical analysis and experimental results show that image histograms are closely matched after A-MIE, namely its effect on the support of the Fourier spectrum demonstrate the proposed algorithm is effective.

关键词： stereo pair histogram equalization midway

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A novel approach for approving constant image brightness

A novel approach for approving constant image brightness

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International Conference on Wireless communications and Signal processing (WCSP)

作者： Liling Zhao Yuhui Zheng Quansen Sun Deshen Xia School of Information and Control Engineering Nanjing University of Information Science and Technology Nanjing China School of Computer Science and Technology Nanjing University of Science and Technology of PLA Nanjing China School of Computer Science and Technology Nanjing University of Information Science and Technology Nanjing China

关键词： Brightness Dynamic range Histograms Stereo vision Robot vision systems Navigation Adaptive equalizers Humans visual system image analysis

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Proceedings of SPIE - visual communications and image processing 2004: Part One

Proceedings of SPIE - Visual Communications and Image Proces...

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visual communications and image processing 2004

The proceedings contain 68 papers from the Proceedings of SPIE - visual communications and image processing 2004: Part One. The topics discussed include: MPEG-4 advanced simple profile video encoding on an embedded multimedia system;novel algorithm to reduce the complexity of quarter-pixel motion estimation;layered Wyner-Ziv video coding;multiple motion and occlusion segmentation with a multiphase level set method;adaptive lossless video compression;coding-adaptive transforms and statistical motion prediction with drift.

关键词： image coding

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Proceedings of SPIE - visual communications and image processing 2004: Part Two

Proceedings of SPIE - Visual Communications and Image Proces...

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visual communications and image processing 2004

The proceedings contain 70 papers form the Proceedings of SPIE - visual communications and image processing 2004: Part Two. The topics discussed include: content-adaptive up-scaling of chrominance using classification of luminance and chrominance data;motion detection in color image sequence and shadow elimination;motion deblurring based on time-evolution of simultaneous nonlinear reaction-diffusion;multistage feature extraction for accurate face alignment and scalable texture-based video coding.

关键词： Face recognition

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Reduction of blocking artifacts in JPEG compressed images

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DIGITAL SIGNAL processing 2007年第1期17卷 225-243页

作者： Singh, Sukhwinder Kumar, Vinod Verma, H. K. Indian Inst Technol Dept Elect Engn Instrumentat & Signal Proc Lab Roorkee 247667 Uttar Pradesh India

image compression is a very important issue for several applications in the area of multimedia communications, the objective being reduction of storage and transmission costs. Many efficient coding techniques have been developed for various applications. Amongst them, the Joint Photographic Experts Group (JPEG) has been recommended for compression of continuous tone still images. However, the reconstructed images from JPEG compression produce annoying blocking artifacts near block boundaries, particularly in highly compressed images, because each block is transformed and quantized independently. Several techniques/algorithms have been proposed by researchers, both in spatial and frequency domains, for reduction of these artifacts with varied degree of success. These are briefly overviewed here. A new technique working in frequency domain, is proposed here by authors. This paper puts forth a method and an algorithm, working in frequency domain, for the detection and reduction of such blocking artifacts. These artifacts are modeled here as 2-D step functions between two neighboring blocks. Presence of the blocking artifacts is detected by using block activity based on human visual system (HVS) and block statistics. The boundary regions between blocks are identified as either smooth or non-smooth regions. The blocking artifacts in smooth regions are removed by modifying a few DCT coefficients appropriately, whilst an edge-preserving smoothing filter is applied to the non-smooth regions, i.e., genuine edges. The algorithm has been applied to variety of JPEG compressed images and results are compared with other postprocessing algorithms. The reduction in the blocking artifacts for each image have been evaluated using three indices, namely peak signal-to-noise ratio (PSNR), mean structure similarity (MSSIM) index based on human visual perception, and a new index, called here block boundary measure (BBM), applied to both vertical and horizontal block boundaries. The result

关键词： image compression blocking artifacts image quality human visual perception

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A morphology-based algorithm for label location and identification

A morphology-based algorithm for label location and identifi...

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Conference on visual communications and image processing 2005

作者： Nie, ZG Zhang, XL Yang, XX School of Electronic and Information Engineering Beihang Univ. No. 37 Xueyuan Rd

ISBN: (纸本)0819459763

Label location and recognition has become a crucial task for today's Unmanned Aerial Vehicles. We proposed a morphology-based algorithm to locate and recognize labels. This algorithm is insensitive to scaling and rotation, and able to work at low resolution. The label positioning and recognition strategy we designed is divided into two steps. First, at the altitude of 10m or so, we apply dilation processing and edge detection on the images sent back by UAV. Then combining the current heading information of the vehicle, we are able to give the topology map of all labels. After that the vehicle is lowered to about 5m and we apply erosion processing on the returned image and then recognize each label using image measurement and image analysis methods. The validity of this algorithm is well verified at ARCC 2004.

关键词： label location label recognition image measurement morphology

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