| 书目名称 | Statistical Learning and Pattern Analysis for Image and Video Processing | | 编辑 | Nanning Zheng,Jianru Xue | | 视频video | | | 概述 | Offers a system view of modelling and computing visual patterns in image sequences.Provides a complete guide to accomplishing intelligent visual information processing system.Rich in examples and illu | | 丛书名称 | Advances in Computer Vision and Pattern Recognition | | 图书封面 |  | | 描述 | Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers | | 出版日期 | Book 2009 | | 关键词 | Motion Analysis; Scalable Video Coding; Statistical Learning; Statistical Pattern Analysis; Textur; Video | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-84882-312-9 | | isbn_softcover | 978-1-4471-2673-7 | | isbn_ebook | 978-1-84882-312-9Series ISSN 2191-6586 Series E-ISSN 2191-6594 | | issn_series | 2191-6586 | | copyright | Springer-Verlag London 2009 |
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发表于 2025-3-21 18:20:25
