The Experts below are selected from a list of 91080 Experts worldwide ranked by ideXlab platform
Philip Dang - One of the best experts on this subject based on the ideXlab platform.
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VLSI architecture for real-time image and Video Processing systems
Journal of Real-Time Image Processing, 2006Co-Authors: Philip DangAbstract:This paper discusses the challenges of the design of real-time image and Video Processing systems and reviews some practical design approaches for these systems.
Madhukar Budagavi - One of the best experts on this subject based on the ideXlab platform.
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Real-time image and Video Processing in portable and mobile devices
Journal of Real-Time Image Processing, 2006Co-Authors: Madhukar BudagaviAbstract:Mobile handheld and battery-operated consumer electronic devices such as digital still cameras, personal media players, digital camcorders, camera phones, mobile Video telephones, etc. have become very popular and their annual shipments are already in hunderds of millions of units. The ability to carry out image and Video Processing in real-time has been one of the major reasons for the widespread success of these devices. In this article, the typical components present in such devices and the image and Video Processing that are carried out are described first. Some of the emerging trends relevant to image and Video Processing algorithms used on these devices are highlighted next. A brief overview of system requirements and challenges for image and Video Processing on these devices is then provided. These requirements are driving image and Video Processing research in new directions.
Alan C. Bovik - One of the best experts on this subject based on the ideXlab platform.
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Introduction to the Issue on Perception Inspired Video Processing
IEEE Journal of Selected Topics in Signal Processing, 2014Co-Authors: Hari Kalva, Alan C. Bovik, Homer H. Chen, Karen Egiazarian, Zhou WangAbstract:The articles in this special issue focus on technologies and applications that support perception inspired Video Processing technologies.
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Towards Video Processing
The Essential Guide to Image Processing, 2009Co-Authors: Alan C. BovikAbstract:Publisher Summary The main application of digital Video Processing is to provide high-quality visible-light Videos for human consumption. Digital Video Processing encompasses many approaches that derive from the essential principles of digital image Processing. Indeed, it is best to become conversant in the techniques of digital image Processing before embarking on the study of digital Video Processing. However, there is one important aspect of Video Processing that significantly distinguishes it from still image Processing, makes necessary significant modifications of still image Processing methods for adaptation to Video, and also requires the development of entirely new Processing philosophies. That aspect is motion. It is largely the motion of 3D objects and their 2D projections that determines our visual experience of the world. The way in which motion is handled in Video Processing largely determines how Videos will be perceived or analyzed. Indeed, one of the first steps in a large percentage of Video Processing algorithms is motion estimation, whereby the movement of intensities or colors is estimated. These motion estimates can be used in a wide variety of ways for Video Processing and analysis.
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The Essential Guide to Video Processing
2009Co-Authors: Alan C. BovikAbstract:This comprehensive and state-of-the art approach to Video Processing gives engineers and students a comprehensive introduction and includes full coverage of key applications: wireless Video, Video networks, Video indexing and retrieval and use of Video in speech Processing. Containing all the essential methods in Video Processing alongside the latest standards, it is a complete resource for the professional engineer, researcher and graduate student.Numerous conceptual and numerical examplesAll the latest standards are thoroughly covered: MPEG-1, MPEG-2, MPEG-4, H.264 and AVCCoverage of the latest techniques in Video security"Like its sister volume "The Essential Guide to Image Processing," Professor Bovik's Essential Guide to Video Processing provides a timely and comprehensive survey, with contributions from leading researchers in the area. Highly recommended for everyone with an interest in this fascinating and fast-moving field." -Prof. Bernd Girod, Stanford University, USA * Edited by a leading person in the field who created the IEEE International Conference on Image Processing, with contributions from experts in their fields.* Numerous conceptual and numerical examples*All the latest standards are thoroughly covered: MPEG-1, MPEG-2, MPEG-4, H.264 and AVC.* Coverage of the latest techniques in Video security
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Fast algorithms for foveated Video Processing
IEEE Transactions on Circuits and Systems for Video Technology, 2003Co-Authors: Alan C. BovikAbstract:This paper explores the problem of communicating high-quality, foveated Video streams in real time. Foveated Video exploits the nonuniform resolution of the human visual system by preferentially allocating bits according to the proximity to assumed visual fixation points, thus delivering perceptually high quality at greatly reduced bandwidths. Foveated Video streams possess specific data density properties that can be exploited to enhance the efficiency of subsequent Video Processing. Here, we exploit these properties to construct several efficient foveated Video Processing algorithms: foveation filtering (local bandwidth reduction), motion estimation, motion compensation, Video rate control, and Video postProcessing. Our approach leads to enhanced computational efficiency by interpreting nonuniform-density foveated images on the uniform domain and by using a foveation protocol between the encoder and the decoder.
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Handbook of Image and Video Processing
2000Co-Authors: Jerry D. Gibson, Alan C. BovikAbstract:From the Publisher: The Handbook of Image and Video Processing contains a comprehensive and highly accessible presentation of all essential mathematics, techniques, and algorithms for every type of image and Video Processing used by scientists and engineers. The timely volume will provide both the novice and the seasoned practitioner with the necessary information and skills to be able to develop algorithms and applications for multimedia, digital imaging, digital Video, telecommunications, and World Wide Web industries. Handbook of Image and Video Processing will also serve as a textbook for courses such as digital image Processing, digital image analysis, digital Video, Video communications, multimedia, and biomedical image Processing in the departments of electrical and computer engineering and computer science. KEY FEATURES: * No other resource contains the same breadth of up-to-date coverage * Contains over 100 example algorithm illustrations * Contains a series of extremely accessible tutorial chapters * Indispensable for researchers in telecommunications, Internet applications, multimedia, and nearly every branch of science Al Bovik is one of the best known image Processing experts in the world. He was the host of the first IEEE International Conference on Image Processing in 1994 and he is the current editor-in-chief of IEEE Transactions on Image Processing. He is affiliated with the University of Texas, Austin.
De G Gerard Haan - One of the best experts on this subject based on the ideXlab platform.
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Handbook of Digital Imaging - TV Display Technology and Video Processing
Handbook of Digital Imaging, 2015Co-Authors: E.b. Bellers, De G Gerard HaanAbstract:Video Processing demands are strongly influenced by the display device. The revolution in television displays from the Cathode Ray Tubes (CRTs) to modern flat panel displays, like the Plasma Display Panel (PDP) and Liquid Crystal Display (LCD), has accelerated the innovation in Video Processing. The larger screen sizes and increased brightness, but also the increased diversity in content quality, along with the transition to High Definition television (HDTV) and beyond, has profoundly increased our picture quality expectations. New challenges had to be overcome with Video Processing, as the new display technologies have some very good, but often also some unfavorable properties. Therefore, new Video Processing algorithms were necessary to provide adequate solutions. It is fair to say that the display revolution along with the advances in Video sources has made Video Processing an interesting field for many researchers during the last few decades. This chapter briefly reviews the characteristics of the Human Visual System that impact the system design, followed by a review of a number of modern display technologies. Some of the characteristics that negatively affect our perception will be discussed. It will appear that none of the modern displays is ideal for rendering Video, and Video Processing technologies which alleviate the impact from these flaws will be presented.
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Handbook of Digital Imaging - TV Display Technology and Video Processing
Handbook of Digital Imaging, 2015Co-Authors: E.b. Bellers, De G Gerard HaanAbstract:Video Processing demands are strongly influenced by the display device. The revolution in television displays from the Cathode Ray Tubes (CRTs) to modern flat panel displays, like the Plasma Display Panel (PDP) and Liquid Crystal Display (LCD), has accelerated the innovation in Video Processing. The larger screen sizes and increased brightness, but also the increased diversity in content quality, along with the transition to High Definition television (HDTV) and beyond, has profoundly increased our picture quality expectations. New challenges had to be overcome with Video Processing, as the new display technologies have some very good, but often also some unfavorable properties. Therefore, new Video Processing algorithms were necessary to provide adequate solutions. It is fair to say that the display revolution along with the advances in Video sources has made Video Processing an interesting field for many researchers during the last few decades. This chapter briefly reviews the characteristics of the Human Visual System that impact the system design, followed by a review of a number of modern display technologies. Some of the characteristics that negatively affect our perception will be discussed. It will appear that none of the modern displays is ideal for rendering Video, and Video Processing technologies which alleviate the impact from these flaws will be presented. Keywords: Visual perception; display technologies; picture rate conversion; de-interlacing; resolution enhancement; adaptive dimming
Qian Zhang - One of the best experts on this subject based on the ideXlab platform.
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edge computing framework for cooperative Video Processing in multimedia iot systems
IEEE Transactions on Multimedia, 2018Co-Authors: Changchun Long, Tao Jiang, Yang Cao, Qian ZhangAbstract:Multimedia Internet-of-Things (IoT) systems have been widely used in surveillance, automatic behavior analysis and event recognition, which integrate image Processing, computer vision, and networking capabilities. In conventional multimedia IoT systems, Videos captured by surveillance cameras are required to be delivered to remote IoT servers for Video analysis. However, the long-distance transmission of a large volume of Video chunks may cause congestions and delays due to limited network bandwidth. Nowadays, mobile devices, e.g., smart phones and tablets, are resource-abundant in computation and communication capabilities. Thus, these devices have the potential to extract features from Videos for the remote IoT servers. By sending back only a few Video features to the remote servers, the bandwidth starvation of delivering original Video chunks can be avoided. In this paper, we propose an edge computing framework to enable cooperative Processing on resource-abundant mobile devices for delay-sensitive multimedia IoT tasks. We identify that the key challenges in the proposed edge computing framework are to optimally form mobile devices into Video Processing groups and to dispatch Video chunks to proper Video Processing groups. Based on the derived optimal matching theorem, we put forward a cooperative Video Processing scheme formed by two efficient algorithms to tackle above challenges, which achieves suboptimal performance on the human detection accuracy. The proposed scheme has been evaluated under diverse parameter settings. Extensive simulation confirms the superiority of the proposed scheme over other two baseline schemes.
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Guest Editorial: Cloud-Based Video Processing and Content Sharing
IEEE Transactions on Multimedia, 2016Co-Authors: Honggang Wang, Sanjeev Mehrotra, Maria G. Martini, Dapeng Wu, Qian ZhangAbstract:The papers in this special issue focus on cloud computing-based Video Processing and content sharing. With the rapid growth of IPTV and mobile Video applications and driven by urgent demands from industry and users, Video Processing and content sharing technologies have received significant research attention in recent years. Cloud-based Video Processing and content sharing networks are promising technologies to orchestrate large-scale and efficient Video distribution between mobile clients and multimedia cloud systems. The objective of this special issue is to identify and promote advancements in media cloud-based Video Processing and content sharing technologies to advance current and enable future anywhere and anytime Video Processing and streaming applications.
