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Titlebook: Recent Advances in Visual Information Systems; 5th International Co Shi-Kuo Chang,Zen Chen,Suh-Yin Lee Conference proceedings 2002 Springer

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书目名称Recent Advances in Visual Information Systems
副标题5th International Co
编辑Shi-Kuo Chang,Zen Chen,Suh-Yin Lee
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Recent Advances in Visual Information Systems; 5th International Co Shi-Kuo Chang,Zen Chen,Suh-Yin Lee Conference proceedings 2002 Springer
描述Visualinformationsystemsareinformationsystemsforvisualcomputing.Visual computing is computing on visual objects. Some visual objects such as images are inherently visual in the sense that their primary representation is the visual representation.Somevisualobjectssuchasdatastructuresarederivativelyvisual in the sense that their primary representation is not the visual representation, but can be transformed into a visual representation. Images and data structures are the two extremes. Other visual objects such as maps may fall somewhere in between the two. Visual computing often involves the transformation from one type of visual objects into another type of visual objects, or into the same type of visual objects, to accomplish certain objectives such as information reduction, object recognition, and so on. In visual information systems design it is also important to ask the foll- ing question: who performs the visual computing? The answer to this question determines the approach to visual computing. For instance it is possible that primarily the computer performs the visual computing and the human merely observes the results. It is also possible that primarily the human performs the
出版日期Conference proceedings 2002
关键词DOM; Feature Extraction; Gabor filter; Image Information Systems; MPEG; MPEG-7; Multimedia; Multimedia Info
版次1
doihttps://doi.org/10.1007/3-540-45925-1
isbn_softcover978-3-540-43358-3
isbn_ebook978-3-540-45925-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2002
The information of publication is updating

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Multi-sensor Information Fusion by Query Refinementeedback information to the other sensors. The approach is also applicable to evolutionary queries that change in time and/or space, depending upon the temporal/spatial coordinates of the query originator.
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MiCRoM: A Metric Distance to Compare Segmented Imagesented and represented as a set of regions, and the distance between images is computed according to the visual features of their regions. A major problem of existing distance functions used to compare segmented images is that they are not metrics. Hence, it is not possible to exploit filtering techn
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Image Retrieval by Regions: Coarse Segmentation and Fine Color Descriptionterest regardless their background in images. The definition of regions in thousands of generic images is a difficult key point, since it should not need user interaction for each image, and nevertheless be as close as possible to regions of interest (to the user). In this paper we first propose a n
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Fast Approximate Nearest-Neighbor Queries in Metric Feature Spaces by Buoy Indexing to break the “dimensionality curse”. The basis for the proposed method is the partitioning of the feature dataset into a fixed number of clusters that are represented by single buoys. Upon submission of a query request, only a small number of clusters whose buoys are close to the query object are c
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Region-Based Image Retrieval Using Multiple-Features technique that utilizes the regional properties of the images. After image segmentation, each region is represented by its colour, shape, size, and spatial position. Regions of different images are matched and a distance measure between the whole images is calculated. The relative importance of the
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