Video Segmentation and Its Applications [electronic resource] / edited by King Ngi Ngan, Hongliang Li.

Colaborador(es): Ngan, King Ngi | [editor.] | Li, Hongliang | [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoDescripción: XIV, 164p. 92 illus. online resourceISBN: 9781441994820 99781441994820Tema(s): Engineering | Engineering | COMPUTER IMAGING, VISION, PETTERN RECOGNITION AND GRAPHICS | COMPUTADOR VISIÓN | IMAGE PROCESSING AND COMPUTER VISION | SIGNAL, IMAGE AND SPEECH PROCESSINGClasificación CDD: 621.382 Recursos en línea: ir a documento
Contenidos:
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.
Resumen: 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.
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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.

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.

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