Video Segmentation and Its Applications
Editat de King Ngi Ngan, Hongliang Lien Limba Engleză Paperback – oct 2014
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Specificații
ISBN-13: 9781489994660
ISBN-10: 1489994661
Pagini: 180
Ilustrații: XIV, 163 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.26 kg
Ediția:2011
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1489994661
Pagini: 180
Ilustrații: XIV, 163 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.26 kg
Ediția:2011
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Image/Video Segmentation: Current Status, Trends and Challenges.- Image Segmentation with Eigen-subspace Projections.- Semantic Object Segmentation.- Video Scene Analysis: A Machine Learning Perspective.- Multi-view Image Segmentation and Video Tracking.- Applications of Video Segmentation.- Index.
Notă biografică
The principal editor has more than 20 years of research experience in multimedia signal processing area. He is a world recognized expert in the field of visual signal processing and communications especially in image/video segmentation. He chaired a number of prestigious international conferences on video signal processing and communications and served on the advisory and technical committees of numerous professional organizations. He has published extensively including 3 authored books, and over 200 refereed technical papers in the areas of visual signal processing, image/video coding and multimedia communications and holds 4 patents on video coding technology.
Textul de pe ultima copertă
Video segmentation has become one of the core areas in visual signal processing research. The objective of Video Segmentation and Its Applications is to present the latest advances in video segmentation and analysis techniques while covering the theoretical approaches, real applications and methods being developed in the computer vision and video analysis community. The book will also provide researchers and practitioners a comprehensive understanding of state-of-the-art of video segmentation techniques and a resource for potential applications and successful practice.
Caracteristici
Provides a comprehensive description of practical applications Describes state-of-the-art technology in semantic object segmentation Covers multi-view image segmentation algorithms and multi-view video tracking algorithms Includes supplementary material: sn.pub/extras