Titlebook: Representation and Retrieval of Visual Media in Multimedia Systems; HongJiang Zhang,Philippe Aigrain,Dragutin Petkovic Book 1996 Springer

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书目名称Representation and Retrieval of Visual Media in Multimedia Systems影响因子(影响力)




书目名称Representation and Retrieval of Visual Media in Multimedia Systems影响因子(影响力)学科排名




书目名称Representation and Retrieval of Visual Media in Multimedia Systems网络公开度




书目名称Representation and Retrieval of Visual Media in Multimedia Systems网络公开度学科排名




书目名称Representation and Retrieval of Visual Media in Multimedia Systems被引频次




书目名称Representation and Retrieval of Visual Media in Multimedia Systems被引频次学科排名




书目名称Representation and Retrieval of Visual Media in Multimedia Systems年度引用




书目名称Representation and Retrieval of Visual Media in Multimedia Systems年度引用学科排名




书目名称Representation and Retrieval of Visual Media in Multimedia Systems读者反馈




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态度暖昧

https://doi.org/10.1007/b102405clustering; database; database systems; multimedia; multimedia systems

JUST

Haphazard

SLUMP

Book 1996s in this important area. ..Representation and Retrieval of Visual Media in MultimediaSystems. serves as an excellent reference, providing insight intosome of the most important research issues in the field.

畏缩

Commodious

放弃

COMIB: Composite Icon Browser for Multimedia Databases, the repetitious short-sighted navigation, and the weak presentation of a multimedia object. We also explain the retrieval mechanism algebraically and describe the implementation of COMIB based on this mechanism.

牢骚

COMIB: Composite Icon Browser for Multimedia Databases,ng multimedia objects simultaneously in a screen using composite icons, that may be thumbnails of the several nested attribute values of those objects. Users can specify these attributes with a mouse while browsing the visualized aggregation hierarchy. Both querying and browsing can be interleaved v

猛击

A Fractal-Based Clustering Approach in Large Visual Database Systems,nificant features must first be extracted from image data in their pixel format. These features must then be classified and indexed to assist efficient access to image content. With the large volume of visual data stored in a visual database, image classification is a critical step to achieve effici