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International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Juntao Zan Yang Fang Qilie Liu Uswah Khairuddin Yan Li Kaiwei Sun School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China Chongqing Key Laboratory of Image Cognition Chongqing University of Posts and Telecommunications Chongqing China Malaysia-Japan International Institute of Technology University of Technology Malaysia Kuala Lumpur Malaysia Department of Electrical and Computer Engineering Inha University Incheon South Korea Key Laboratory of Data Engineering and Visual Computing Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

YOLO-based models are widely used for personal protective equipment (PPE) compliance detection due to their excellent detection performance and efficiency. However, most YOLO models are not competent for detection tasks in complex industrial scenarios such as remote surveillance and extremely small targets. In addition, there is a lack of effective model lightweighting and knowledge transfer approaches for industrial deployment. To this end, this paper proposes a Multi-scale and Knowledge-Distilling YOLO (MKD-YOLO) based on YOLOv8n for efficient PPE compliance detection. Specifically, in backbone stage, we design an Efficient Multi-Scale Enhanced Convolution (C2f-EMSEC) module and Large Spatial Pyramid Pooling-Fast (LSPPF) module for multi-scale and global-contextual feature learning as well as reducing model complexity. Then, in neck stage, a refined Bidirectional feature Pyramid Network (BPNet) is designated to capture fine-grained details for extremely small object detection. Moreover, we apply channel-wise knowledge distillation to facilitate model lightweighting and domain-specific knowledge transfer learning. Experiments on our proposed dataset and public datasets show that the proposed MKD-YOLO achieves a new state-of-the-art (SOTA) detection performance and efficiency for practical PPE compliance detection tasks. Codes and the dataset are available at https://***/z1Zjt/MKD-YOLO.

关键词： Personal protective equipment YOLO Representation learning Convolution Surveillance Speech enhancement Feature extraction Neck Kernel Knowledge transfer

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A 3D MRI Brain image Segmentation and Reconstruction System Based on Augmented Reality Technology 10th

A 3D MRI Brain Image Segmentation and Reconstruction System ...

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10th China Health Information processing conference, CHIP 2024

作者： Zhao, Wang Lu, Peixin Hu, LianTing Lu, Long School of Management Engineering Henan University of Engineering Zhengzhou China School of Safety Science and Emergency Management Wuhan University of Technology Wuhan China Guangdong Provincial People’s Hospital Guangzhou China School of Information Management Wuhan University Wuhan China The Center for Healthcare Big Data Research The Big Data Institute Wuhan University Wuhan China Institute of Pediatrics Guangzhou Women and Children’s Medical Center Guangzhou Medical University Guangzhou China School of Public Health Wuhan University Wuhan China

ISBN: (纸本)9789819637546

Background With the rapid development of information technology and the digitization of medical devices, various diseases require the use of medical imaging equipment for diagnosis. At present, various medical imaging diagnostic equipment such as CT and nuclear magnetic resonance can provide two-dimensional planar images of diseases. Doctors urgently need to accurately determine the spatial location, size, geometry, and spatial relationship with the surrounding tissue. Therefore, it is very important to use computer technology to segment 3D MRI images, determine the location of lesions, and then perform 3D reconstruction. Method At present, automatic recognition and marking of brain images are displayed in two dimensions. Therefore, it is necessary to use 3D visualization technology for reconstruction. In addition, it can be combined with virtual and real, and some additional information is superimposed on the brain image for integrated display. In addition, a combination of virtual and real needs to be superimposed, and some additional information is superimposed on the brain image for integrated display. The research focus of this paper includes two main parts: disease segmentation and 3D reconstruction visualization. Firstly, the disease segmentation method based on 3D MRI brain image files was designed, and then the feature extraction and 3D reconstruction functions were designed. Thereby forming a complete process of disease region segmentation and three-dimensional reconstruction. Results This study is based on a three-dimensional MRI brain image segmentation algorithm. The algorithm is advanced in technology, high in accuracy, and can effectively identify the location of the disease. Then, this study used the Unity tool to implement a three-dimensional reconstruction and visual display program for brain image disease segmentation. Therefore, the doctor can quickly and intuitively grasp the spatial information inside the brain and the information of the lesion

关键词： image segmentation

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An efficient JPE62000 tier-1 coder hardware implementation for real-time video processing

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2003年第4期49卷 780-786页

作者： Schumacher, PR Xilinx Inc Xilinx Res Labs Longmont CO 80503 USA

The recently approved digital still image standard known as JPEG2000 promises to be an excellent image and video format for use with a large range of applications. For adoption of the standard to take place in the consumer marketplace, implementations supporting real-time encoding and decoding of popular image and video formats must be created. It is a well-known fact that the major bottleneck of a JPEG2000 system is the bit/context modeling and arithmetic coding tasks (also known as tier-1 coding). This paper discusses a hardware implementation of a tier-1 coder that exploits available parallelisms. The proposed technique described in this paper is approximately 50% faster than the best technique described in the literature(1).

关键词： field programmable gate arrays image processing JPEG2000 video signal processing

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Color image denoising with wavelet thresholding based on human visual system model

Color image denoising with wavelet thresholding based on hum...

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conference on visual communications and image processing 2003

作者： Huang, KQ Wu, ZY SE Univ Dept Radio Engn Nanjing 210096 Jiangsu Peoples R China

ISBN: (纸本)0819450235

This paper presents a new approach to color image denoising under consideration of human visual system (HVS) model. The denosing process takes place in the wavelet transform domain. A contrast sensitivity function (CSF) implementation is employed into wavelet-based algorithm based on an invariant single factor weighting per subband and noise masking in succession. Experimental results show that the new approach is good in terms of perceptual error metrics and visual effect.

关键词： color image denosing wavelet thresholding human visual system model contrast sensitivity function masking

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Post-processing for JPEG 2000 image coding using recursive line filtering based on a fuzzy control model

Post-processing for JPEG 2000 image coding using recursive l...

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conference on visual communications and image processing 2003

作者： Yao, S Rahardja, S Lin, X Lim, KP Lu, ZK Inst Infocomm Res Media Proc Dept Singapore 119613 Singapore

ISBN: (纸本)0819450235

In this paper, we propose a new method for removing coding artifacts appeared in JPEG 2000 coded images. The proposed method uses a fuzzy control model to control the weighting function for different image edges according to the gradient of pixels and membership functions. Regularized post-processing approach and recursive line algorithm are described in this paper. Experimental results demonstrate that the proposed algorithm can significantly improve image quality in terms of objective and subjective evaluation.

关键词： image compression image quality Fuzzy logic image restoration Digital filtering visualization Cameras image filtering Nonlinear filtering image processing

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Acoustic based rendering by interpolation of the Plenacoustic function

Acoustic based rendering by interpolation of the Plenacousti...

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conference on visual communications and image processing 2003

作者： Ajdler, T Vetterli, M Swiss Fed Inst Technol LCAV CH-1015 Lausanne Switzerland

ISBN: (纸本)0819450235

In the present paper, we study the spatialization of the sound field in a room, in particular the evolution of room impulse responses as function of their spatial positions. The presented technique allows us to completely characterize the sound field in any arbitrary location if the sound field is known in a certain finite number of positions. Our technique simply starts from the measurements of impulse responses in a finite number of positions and with this information the total sound field can be recreated. An analytical solution of the problem is given for any rectangular room. Further, we determine the number and the spacing between the microphones needed to perfectly reconstruct the sound field up to a certain temporal frequency.

关键词： image processing visual communications

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Introduction to the special issue on distributed adaptation, representation and processing of multimedia information

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MULTIMEDIA TOOLS AND APPLICATIONS 2007年第1期33卷 1-3页

作者： Ip, Horace H. S. Chen, Shu-Ching City Univ Hong Kong Kowloon Hong Kong Peoples R China Florida Int Univ Miami FL 33199 USA

This special issue contains three papers from the invited keynote speakers of The Ninth International conference on Distributed Multimedia Systems (DMS'03), and three extended papers selected from those accepted for presentation at The Sixth International conference on visual information systems (VIS2003) held at Miami, Florida, USA on September 24-26, 2003. DMS'03 is the ninth of an international conference series that started in 1994 with the aim of bringing together researchers, developers, users, and practitioners carrying out research and development in a wide spectrum of technique in the fields of distributed multimedia computing. VIS2003 is the 6th of an international conference series with the aims of developing and discussing new and novel computational methods to retrieve, index, compress and uncover pictorial information; new algorithms allowing access to very large databases of digital pictures and videos; and systems with visual interfaces integrating the above components in new types of image databases.

关键词： distributed multimedia system computational methods pictorial information visual databases Multimedia communications Videotapes Distribute MULTI-MEDIA SYSTEM international conference

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Color data visualization for color imaging

Color data visualization for color imaging

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conference on visual communications and image processing 2003

作者： Trémeau, A Colantoni, P Univ St Etienne Lab LIGIV EA 3070 F-42000 St Etienne France

ISBN: (纸本)0819450235

There are several ways to display color data of a color image. In this paper we present different methods that we have developed in order to understand and to analyze color image information. These methods use traditional 2D and 3D visualization model associated with specific color transformation. We also introduce a new multidimensional visualization model usefull to analyse spatiocolorimetric data.

关键词： visualization 3D image processing RGB color model image visualization Colorimetry image processing 3D displays 3D visualizations Optical spheres image segmentation

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Geometrical image compression with bandelets

Geometrical image compression with bandelets

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conference on visual communications and image processing 2003

作者： Le Pennec, E Mallat, S Ecole Polytech CMAP F-91128 Palaiseau France

ISBN: (纸本)0819450235

This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. This geometric flow indicates the direction in which the image grey levels have regular variations. The image decomposition in a bandelet basis is implemented with a fast subband filtering algorithm. Bandelet bases lead to optimal approximation rates for geometrically regular images. For image compression, the bandelet basis geometry is optimized with a fast best basis algorithm. Comparisons are made for image compression with wavelet bases.

关键词： Wavelets image compression image segmentation Distortion image filtering Curium image processing algorithms and systems image processing Quantization Wavelet transforms

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New perceptual quality assessment method with reduced reference for compressed images

New perceptual quality assessment method with reduced refere...

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conference on visual communications and image processing 2003

作者： Carnec, M Le Callet, P Barba, D Univ Nantes Ecole Polytech Nantes France

ISBN: (纸本)0819450235

This paper presents a new method to measure the quality of compressed images. The method is based on a Human visual System model and extracts perceptual structural information from images. This model is implemented and perceptual representations of images are built. These representations describe the structural information of images. For quality assessment, the representation of the original image, actually a reduced reference, is compared to the representation of the distorted image using similarity measures. Similarity scores have shown to be highly correlated with the quality of images produced by human observers in experiments. So the novelty of this method is that structural information is used to assess the quality. This method has been implemented in an application called "Smart Compress" (freely available on the Internet) which allows the user to compress images in JPEG format by choosing the visual quality of the output images.

关键词： image compression image quality visualization Feature extraction visual process modeling Eye image processing visual system Eye models Internet

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