The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems.
The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and Ph D students, researchers and software developers working in the area of digital image and video processing and analysis.
表中的内容
From the content: Performance analysis and comparison of the Dirac video codec with H.264/ MPEG-4, Part 10.- Linear and non-linear inverse pyramidal image representation: algorithms and applications.- Preserving data integrity of encoded medical images: the LAR compression framework.- Image Processing in medicine.- Attention in Image Sequences: Biology, Computational Models, and Applications.
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