检索结果-内蒙古大学图书馆

Urban road user detection and classification using 3D wire frame models

IET COMPUTER VISION 2010年第2期4卷 105-116页

作者： Buch, N. Orwell, J. Velastin, S. A. Kingston Univ London Digital Imaging Res Ctr Kingston upon Thames KT1 2EE Surrey England

This study presents a detection and classification system for vehicles and pedestrians in urban traffic scenes. This aims to guide surveillance operators and reduce human resources for observing hundreds of cameras in urban traffic surveillance. The authors perform per frame vehicle detection and classification using 3D models on calibrated cameras. Motion silhouettes (from background estimation) are extracted and compared to a projected model silhouette to identify the ground plane position and class of vehicles and pedestrians. The system is evaluated with the reference i-LIDS datasets from the UK Home Office. Performance for varying numbers of classes for three different weather conditions and for different video input filters is evaluated. The full system including detection and classification achieves a recall of 87% at a precision of 85.5% outperforming similar systems in the literature. The i-LIDS dataset is available to other researchers to compare with our results. The authors conclude with an outlook to use local features for improving the classification and detection performance.

关键词： vehicles road user classification video signal processing UK Home Office Traffic engineering computing urban traffic scenes image and video coding motion estimation motion silhouettes road vehicles i-LIDS datasets pedestrians 3D wire frame models Computer vision and image processing techniques surveillance operators road traffic urban road user detection calibrated cameras video surveillance video signal processing

来源：评论

学校读者我要写书评

暂无评论

Energy efficient novel architectures for the lifting-based discrete wavelet transform

引用

IET image PROCESSING 2007年第3期1卷 305-310页

作者： Varshney, H. Hasan, M. Jain, S. Aligarh Muslim Univ Dept Elect Engn Aligarh Uttar Pradesh India

Energy efficient single-processor and fully pipelined architectures for the lifting-based JPEG2000's 5/3 two-dimensional (2D)-discrete wavelet transform are presented. The single processor performs both the row- and column-wise processing simultaneously, that is, full 2D transform with 100% hardware utilisation. In addition, the architecture uses minimum embedded memory. The fully pipelined architecture is obtained by replicating the single-processor block depending on the levels of decomposition with much lower memory requirement and higher throughput than the single processor involved in multi-level transforms. These architectures can be directly used in real-time image/video consumer applications to extend the battery life of portable systems.

关键词： pipeline processing Parallel architecture energy efficient single-processor Memory circuits discrete wavelet transforms Computer vision and image processing techniques image and video coding image coding lifting-based JPEG2000 2D discrete wavelet transform pipelined architecture embedded memory real-time image-video consumer application Integral transforms Storage system design memory architecture

来源：评论

学校读者我要写书评

暂无评论

Digital image steganalysis: A survey on paradigm shift from machine learning to deep learning based techniques

引用

IET image PROCESSING 2021年第2期15卷 504-522页

作者： Selvaraj, Arivazhagan Ezhilarasan, Amrutha Wellington, Sylvia Lilly Jebarani Sam, Ananthi Roy Mepco Schlenk Engn Coll Autonomous Ctr Image Proc & Pattern Recognit Dept Elect & Commun Engn Sivakasi 626005 Tamil Nadu India

Steganography, a branch of data hiding techniques aims to hide confidential information within any digital media by obscuring the existence of hidden information. On the contrary, steganalysis aims to detect steganography. With the advent of powerful steganographic algorithms, the process of cracking them became very challenging. Traditional steganalysis following machine learning principle employs a two-step process, with first process extracting highly sophisticated features capable of discriminating hidden message from original data and second process classifying the input as innocent or guilty. In recent years, deep learning which has its roots in artificial neural networks emerged as a brilliant alternative for many computer vision tasks. A review of recent research works in deep learning based digital image steganalysis is presented here. The paradigm shift from machine learning approaches to employing more promising deep learning architectures, observed with the current research community and hence in literature has been presented here in chronological order. Deep learning can unify the two-step process into a single process by giving the ability for machine to learn end-to-end by itself. The use of Convolutional Neural Networks to perform steganalysis in spatial or transform or combination of both domains has effectively lowered the detection error rates.

关键词： Cryptography Optical, image and video signal processing image and video coding Computer vision and image processing techniques Data security Other topics in statistics

来源：评论

学校读者我要写书评

暂无评论

Remote walkthrough over mobile networks using 3-D image warping and streaming

引用

IEE PROCEEDINGS-VISION image AND SIGNAL PROCESSING 2004年第4期151卷 329-336页

作者： Bao, P Gourlay, D Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore Chinese Univ Hong Kong Dept Informat Engn Shatin Hong Kong Peoples R China

A mobile walkthrough environment based on 3-D superview warping and view compensation streaming is presented. In this environment, 3-D views are rendered on the remote clients using 3-D oversized reference views and compensated on a view-on-demand basis by the graphically rendered views from the server. The view compensations (hole residuals and the depth map) are coded using a layered joint source-channel coding with unequal error corrections to protect the significant packets on noisy and erasure mobile channels. The new compensated view will then serve as a reference view for the subsequent rendering on the clients. This environment enables numerous mobile virtual applications, such as remote m-gaming, remote m-design, in-learning, m-CAD/CAM, etc., scalable to different network capabilities.

关键词： Reed-Solomon erasure channel codes client-server systems Mobile radio systems mobile communication 3D image warping mobile channels superview warping combined source-channel coding Reed-Solomon codes mobile networks image coding view-on-demand basis 3D image streaming mobile walkthrough scheme error correction codes image and video coding video on demand and video servers joint source-channel coding erasure channels telecommunication channels video on demand

来源：评论

学校读者我要写书评

暂无评论

An efficient Industrial Internet of Things video data processing system for protocol identification and quality enhancement

引用

IET CYBER-PHYSICAL SYSTEMS: THEORY & APPLICATIONS 2023年第2期8卷 63-75页

作者： Chen, Lvcheng Liu, Liangwei Zhang, Li Zhejiang Univ Coll Informat Sci & Elect Engn Hangzhou Peoples R China Hubei Univ Technol Sch Sci Wuhan Peoples R China

video has become an essential medium to monitoring, identification and knowledge sharing. For industrial applications, especially Industrial Internet of Things (IIoT), videos encoded with specific protocols are transferred to smart gateways. In a typical IIoT scenario, the protocol of the video is firstly recognised, which prepares for subsequent video tasks. Due to the constrained resources in such scenarios, the video quality can be deteriorated during encoding and compression processes, which is challenging for IIoT. Recently, there have been extensive works focussing on the protocol identification (PI) and video quality enhancement (VQE) tasks on IIoT edge devices using deep neural networks (DNNs). Since DNNs often require high computational resources, complex networks can hardly be deployed on edge devices. An IIoT system which can efficiently identify the stream protocol and enhance the video quality is proposed in this study. The light-weighted network designs and inference optimisation techniques have been proposed for PI and VQE to realise efficient deployments. Our proposed system employed on an IIoT edge device can achieve an accuracy of higher than 97.52% with fast inference speed for PI. For the VQE task, our system has demonstrated superior performance (15.230 FPS, 0.773 FPS/W) in comparison with the state-of-the-art methods.

关键词： IIoT edge device IIoT system compression processes Computer networks and techniques Multimedia communications image and video coding specific protocols efficient Industrial Internet Neural nets video coding protocols Protocols Industrial Internet of Things video data processing system video quality protocol identification neural nets encoding typical IIoT scenario subsequent video tasks video signal processing Internet of Things knowledge sharing industrial applications stream protocol Computer communications video streaming quality enhancement

来源：评论

学校读者我要写书评

暂无评论

Low memory visual saliency architecture for data reduction in wireless sensor networks

引用

IET WIRELESS SENSOR SYSTEMS 2012年第2期2卷 115-127页

作者： Ngau, C. W. H. Ang, L. -M. Seng, K. P. Univ Nottingham Dept Elect & Elect Engn Selangor 43500 Malaysia Edith Cowan Univ Sch Engn Joondalup WA 6027 Australia Sunway Univ Fac Sci & Technol Selangor 46150 Malaysia

Traditionally, to reduce communication overheads because of bandwidth limitations in wireless sensor networks (WSNs), image compression techniques are used on high-resolution captures. Higher data reduction rates can be achieved by first removing redundant parts of the capture prior to the application of image compression. To locate these redundant parts, biologically plausible visual saliency processing is used to isolate parts that seemed important based on visual perception. Although visual saliency proves to be an effective method in providing a distinctive difference between important and unimportant regions, computational complexity and memory requirements often impair implementation. This study presents an implementation of a low-memory visual saliency architecture with reduced computation complexity for data reduction in WSNs through salient patch transmission. A custom softcore microprocessor-based hardware implementation on a field programmable gate array is then used to verify the architecture. Real-time processing demonstrated that data reductions of more than 50% are achievable for simple to medium scenes without the application of image compression techniques.

关键词： Computer vision and image processing techniques visual perception data compression image and video coding field programmable gate array Logic and switching circuits biologically plausible visual saliency processing salient patch transmission Logic circuits image coding Wireless sensor networks Microprocessors and microcomputers data reduction field programmable gate arrays microprocessor chips Microprocessor chips custom softcore microprocessor image compression wireless sensor networks Computational complexity redundant parts computational complexity communication overheads memory visual saliency architecture

来源：评论

学校读者我要写书评

暂无评论

Rate control strategy for embedded wavelet video coders

引用

ELECTRONICS LETTERS 1999年第21期35卷 1815-1817页

作者： Caetano, R da Silva, EAB Univ Fed Rio de Janeiro BR-21945970 Rio De Janeiro Brazil

An investigation into the use of rate-control strategies for embedded wavelet video encoders is presented. It is shown that the best model for the R-D of these encoders is piecewise linear. Also, an effective iterative procedure is proposed for dealing with the problem of frame dependency, which yields improved rate x distortion results.

关键词： wavelet transforms embedded wavelet video coders image and video coding Integral transforms in numerical analysis iterative methods rate control strategy iterative procedure video signal processing piecewise linear model Interpolation and function approximation (numerical analysis) video coding rate×distortion curve piecewise linear techniques frame dependency

来源：评论

学校读者我要写书评

暂无评论

Achieving better balance between compression and quality for JPEG-LS

引用

ELECTRONICS LETTERS 1999年第23期35卷 2019-2020页

作者： Grecos, C Jiang, J Univ Glamorgan Sch Comp Pontypridd CF37 1DL M Glam Wales

Further application of JPEG-LS for near lossless image compression reveals a balance problem when both compression efficiency and image quality are required to be high. A low-cost solution;backed up by extensive experiments, is presented by introducing different levels of information loss and by exploiting the human visual perception of image quality.

关键词： still image compression human visual perception runlength codes nonlinear prediction image quality code standards compression efficiency data compression JPEG-LS standard Codes entropy codes balance problem image coding prediction theory lossless image compression telecommunication standards image and video coding visual perception information loss levels low-cost solution

来源：评论

学校读者我要写书评

暂无评论

Texture driven quadrilateral matching motion estimation for video coding

引用

ELECTRONICS LETTERS 2000年第1期36卷 27-29页

作者： Lopes, F Ghanbari, M Univ Essex Dept Elect Syst Engn Colchester CO4 3SQ Essex England

It is shown that accurate motion and speed information extracted from the texture of the difference frame can be efficiently used to significantly improve the performance of quadrilateral matching motion estimation bu... 详细信息

关键词： speed information extraction motion estimation image and video coding texture driven quadrilateral matching motion estimation accurate motion small complexity fraction texture full search procedure quadrilateral matching motion estimation video signal processing video coding Computer vision and image processing techniques image recognition

来源：评论

学校读者我要写书评

暂无评论

Fast spatial combinative lifting algorithm of wavelet transform using the 9/7 filter for image block compression

引用

ELECTRONICS LETTERS 2000年第21期36卷 1766-1767页

作者： Meng, HY Wang, ZH Tsing Hua Univ Dept Elect Engn Beijing 100084 Peoples R China

A new fast spatial combinative lifting algorithm (SCLA) of the wavelet transform using the 9/7 filter for image block compression is proposed. In comparison with its lifting-based implementation, the number of multipl... 详细信息

关键词： wavelet transforms fast spatial combinative lifting algorithm filtering theory image block compression data compression image and video coding Computer vision and image processing techniques Integral transforms in numerical analysis Filtering methods in signal processing image coding 9/7 filter multiplications reduction matrix algebra Linear algebra (numerical analysis) Signal processing theory wavelet transform

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：