Integrated Region-Based Image RetrievalContent-based image retrieval is the set of techniques for retrieving relevant images from an image database on the basis of automatically derived image features. The need for efficient content-based image re trieval has increased tremendously in many application areas such as biomedicine, the military, commerce, education, and Web image clas sification and searching. In the biomedical domain, content-based im age retrieval can be used in patient digital libraries, clinical diagnosis, searching of 2-D electrophoresis gels, and pathology slides. I started my work on content-based image retrieval in 1995 when I was with Stanford University. The project was initiated by the Stan ford University Libraries and later funded by a research grant from the National Science Foundation. The goal was to design and implement a computer system capable of indexing and retrieving large collections of digitized multimedia data available in the libraries based on the media contents. At the time, it seemed reasonable to me that I should discover the solution to the image retrieval problem during the project. Experi ence has certainly demonstrated how far we are as yet from solving this basic problem. |
Contents
III | xiii |
IV | xiv |
V | 1 |
VI | 4 |
VII | 5 |
VIII | 6 |
IX | 7 |
X | 8 |
L | 91 |
LI | 96 |
LII | 99 |
LIV | 100 |
LVI | 101 |
LVII | 102 |
LVIII | 103 |
LXI | 104 |
XI | 10 |
XII | 13 |
XIII | 15 |
XIV | 22 |
XV | 31 |
XVI | 32 |
XVII | 34 |
XVIII | 35 |
XIX | 37 |
XX | 39 |
XXI | 40 |
XXII | 44 |
XXIII | 46 |
XXIV | 47 |
XXV | 48 |
XXVI | 49 |
XXVIII | 51 |
XXIX | 53 |
XXXI | 58 |
XXXII | 61 |
XXXIII | 63 |
XXXV | 64 |
XXXVI | 65 |
XXXVII | 66 |
XXXVIII | 68 |
XXXIX | 71 |
XL | 73 |
XLI | 81 |
XLII | 82 |
XLIII | 83 |
XLVI | 84 |
XLVII | 88 |
XLIX | 90 |
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Common terms and phrases
applications average benign images benign websites biomedical image databases block Bruce Croft CBIR system Chapter classification methods classify images color histogram color space component Computer Vision content-based image retrieval COREL Daubechies defined developed edge Euclidean distance evaluation example fast wavelet transform feature extraction feature space feature vector Figure filter frequency bands full size view function general-purpose image graph Haar wavelet IEEE image classification image indexing image semantics INFORMATION RETRIEVAL integrated region matching IRM distance ISBN k-means algorithm matched images medical image metric multiresolution object objectionable images objectionable websites original image partition pathology images performance photograph picture libraries pixels query image query interfaces query results region-based related images rescaled retrieval system robustness segmentation semantic classification similarity measure SIMPLIcity retrieved SIMPLIcity system sketch queries standard deviation statistical clustering supervised learning textured images TSVQ variations vector quantization view full visual features Wang wavelet coefficients wavelet transform wavelet-based WBIIS
References to this book
Ähnlichkeitssuche in Multimedia-Datenbanken: Retrieval, Suchalgorithmen und ... Ingo Schmitt No preview available - 2006 |
SOFSEM 2002: Theory and Practice of Informatics: 29th Conference ..., Volume 29 William I. Grosky,Frantisek Plasil No preview available - 2002 |