Zhang / Lin Selective Visual Attention

Computational Models and Applications
1. Auflage 2013
ISBN: 978-0-470-82813-7
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 352 Seiten, E-Book

Reihe: Wiley - IEEE

Visual attention is a relatively new area of study combining anumber of disciplines: artificial neural networks, artificialintelligence, vision science and psychology. The aim is tobuild computational models similar to human vision in order tosolve tough problems for many potential applications includingobject recognition, unmanned vehicle navigation, and image andvideo coding and processing. In this book, the authors provide anup to date and highly applied introduction to the topic of visualattention, aiding researchers in creating powerful computer visionsystems. Areas covered include the significance of vision research,psychology and computer vision, existing computational visualattention models, and the authors' contributions on visualattention models, and applications in various image and videoprocessing tasks.
This book is geared for graduates students and researchers inneural networks, image processing, machine learning, computervision, and other areas of biologically inspired model building andapplications. The book can also be used by practicing engineerslooking for techniques involving the application of image coding,video processing, machine vision and brain-like robots toreal-world systems. Other students and researchers withinterdisciplinary interests will also find this book appealing.
* Provides a key knowledge boost to developers of imageprocessing applications
* Is unique in emphasizing the practical utility of attentionmechanisms
* Includes a number of real-world examples that readers canimplement in their own work:
* robot navigation and object selection
* image and video quality assessment
* image and video coding
* Provides codes for users to apply in practical attentionalmodels and mechanisms

Autoren/Hrsg.

Zhang, Liming

Lin, Weisi

Über Autor(innen)

Liming Zhang is a Professor of Electronics at FudanUniversity, where she leads the Image and Intelligence Laboratory.Since the 1980s she has been engaged in biological modeling and itsapplication to engineering, such as artificial neural networkmodels, visual models and brain-like robot models, and haspublished three books in Chinese on artificial neural networks,image coding and intelligent image processing, as well as over 120pages in the area. Since 2003 she has been studying problemsin modeling visual attention and applying it in computer vision,robot vision, object tracking, remote sensing and image qualityassessment. She has served as a Senior Visiting Scholar at theUniversity of Notre Dame and Technical University of Munich.
Weisi Lin is an Associate Professor in the division ofcomputer communications at Nanyang Technological University'sSchool of Computer Engineering. He also serves as Lab Head, VisualProcessing, and Acting Department Manager, Media Processing, inInstitute for Infocomm Research. Lin has also participated inresearch at Shantou University (China), Bath University (UK),National University of Singapore, Institute of Microelectronics(Singapore), Centre for Signal Processing (Singapore). His researchinterests include image processing, perceptual modeling, videocompression, multimedia communication and computer vision. He holds10 patents, has written 4 book chapters, and has published over 130refereed papers in international journals and conferences. He is aChartered Engineer, and a Fellow of IET. Lin graduated fromZhongshan University, China with B.Sc in Electronics and M.Sc inDigital Signal Processing, and from King's College, LondonUniversity, UK with Ph.D in Computer Vision.