Principles of Visual Information RetrievalMichael S. Lew Springer Science & Business Media, 2001. gada 26. janv. - 356 lappuses Principles of Visual Information Retrieval introduces the basic concepts and techniques in VIR and develops a foundation that can be used for further research and study. Divided into 2 parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate context into the search process. The second part looks at advanced topics such as multimedia query, specification, visual learning and semantics, and offers state-of-the-art coverage that is not available in any other book on the market. This book will be essential reading for researchers in VIR, and for final year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, Computer Vision and Pattern Recognition. |
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Bieži izmantoti vārdi un frāzes
algorithm Anal Mach Intell analysis applications approach B-frames bitplane boundary camera cluster color histogram color system components Computational Geometry Computer Vision Conf Content-Based Content-Based Image Retrieval corresponding curves defined detection distribution example feature selection feature vector fi+1 filters Fourier frames function Gabor filters graphics Hausdorff distance human IEEE IEEE Trans Patt illumination Image and Video image content Image Databases Image Process image retrieval Intell intensity invariant Jain matching matrix measure methods metric motion multimedia neighbor object optimal parameters Patt Anal Mach Patt Recogn patterns perception perceptually uniform photographs pixels point sets polygons problem query image query language regions relevance feedback representation retrieval systems scene segmentation semantic shape shot similarity space spatial spectral spectral power distribution structure subset techniques texture features threshold trademark images Trans Patt Anal transformation types values Video Databases Visual Information Voronoi diagram weights
Atsauces uz šo grāmatu
Ähnlichkeitssuche in Multimedia-Datenbanken: Retrieval, Suchalgorithmen und ... Ingo Schmitt Priekšskatījums nav pieejams - 2006 |