The LNCS series reports state-of-the-art results in computer science research，development，and education，at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community，with numerous individuals，as well as with prestigious organizations and societies，LNCS has grown into the most comprehensive computer science research forum available.The scope of LNCS，including its subseries LNAI，spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes.—proceedings （published in time for the respective conference）—post-proceedings （consisting of thoroughly revised final full papers）—research monographs（which may be based on outstanding PhD work，research projects，technical reports，etc.）.
作者簡(jiǎn)介
暫缺《圖像與模式的計(jì)算機(jī)分析》作者簡(jiǎn)介
圖書(shū)目錄
Image Indexing (MPEG-7) MPEG-7: Evolution or Revolution? The MPEG-7 Visual Description Framework - Concepts, Accuracy, and Applications MPEG-7 Color Descriptors and Their Applications Texture Descriptors in MPEG-7 An Overview of MPEG-7 Motion Descriptors and Their Applications MPEG-7 MDS Content Description Tools and Applications Image Retrieval Using Spatial Color Information Image Compression Lifting-Based Reversible Transforms for Lossy-to-Lossless Wavelet Codecs. Coding of Irregular Image Regions by SA DFT Fast PNN Using Partial Distortion Search Near-Lossless Color Image Compression with No Error Accumulation in Multiple Coding Cycles Hybrid Lossless Coder of Medical Images with Statistical Data Modelling A Simple Algorithm for Ordering and Compression of Vector Codebooks MPEG 2-Based Video Coding with Three-Layer Mixed Scalability The Coefficient Based Rate Distortion Model for the Low Bit Rate Video Coding Shape-Adaptive DCT Algorithm - Hardware Optimized Redesign Pattern Recognition Superquadric-Based Object Recognition Weighted Graph-Matching Using Modal Clusters Discovering Shape Categories by Clustering Shock Trees Feature Selection for Classification Using Genetic Algorithms with a Novel Encoding A Contribution to the Schlesinger's Algorithm Separating Mixtures of Gaussians Diophantine Approximations of Algebraic Irrationalities and Stability Theorems for Polynomial Decision Rules Features Invariant Simultaneously to Convolution and Affine Transformation A Technique for Segmentation of Gurmukhi Text Efficient Computation of Body Moments Genetic Programming with Local Improvement for Visual Learning from Examples Improved Recognition of Spectrally Mixed Land Cover Classes Using Spatial Textures and Voting Classifications Texture Feature Extraction and Classification Medical Imaging Motion Analysis Augmented Reality Image Analysis Computer Vision Author Index
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