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Titlebook: Advances in Visual Information Management; Visual Database Syst Hiroshi Arisawa,Tiziana Catarci Book 2000 IFIP International Federation for

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樓主: indulge
31#
發(fā)表于 2025-3-26 22:48:46 | 只看該作者
Visualizing Electronic Document Repositories: Drawing Books and Papers in a Digital Library lot to be desired. Important information on documents is usually presented as a textual listing of available metadata attributes such as document size, author information, date of creation, and so on. This requires the user to read and abstract from the presented metainformat ion..In this paper we
32#
發(fā)表于 2025-3-27 04:18:13 | 只看該作者
A Motion Recognition Method by Using Primitive Motionsdexing method for human motion data. We convert a motion data, which is represented as time series of 3-D position, into a symbol sequence. We call this method as conversion automatic indexing. The automatic indexing is performed in a pattern matching approach. Reference patterns are necessary for p
33#
發(fā)表于 2025-3-27 06:37:53 | 只看該作者
34#
發(fā)表于 2025-3-27 11:00:04 | 只看該作者
35#
發(fā)表于 2025-3-27 15:09:57 | 只看該作者
Applying Augmented Orientation Spatial Similarity Retrieval in Pictorial Databaseose images in the database that are spatially similar to the query image. We propose an approach for computing the orientation spatial similarity between two symbolic images in this paper. The proposed approach is not only rotation invariant, but also captures the relative distance and orientation r
36#
發(fā)表于 2025-3-27 20:27:06 | 只看該作者
Toward Feature Algebras in Visual Databases: The Case for a Histogram Algebracts of the problem (image processing, motion estimation, feature extractionchrw...) and its database aspects (defining visual data as data types in a database). In this paper, we argue that image database languages can be built based on ., and demonstrate how such a feature algebra can be built in t
37#
發(fā)表于 2025-3-27 23:34:05 | 只看該作者
38#
發(fā)表于 2025-3-28 03:19:26 | 只看該作者
Applying Augmented Orientation Spatial Similarity Retrieval in Pictorial Databaseose images in the database that are spatially similar to the query image. We propose an approach for computing the orientation spatial similarity between two symbolic images in this paper. The proposed approach is not only rotation invariant, but also captures the relative distance and orientation range between objects.
39#
發(fā)表于 2025-3-28 09:05:56 | 只看該作者
https://doi.org/10.1007/978-0-387-35504-7communication; database; information; information visualization; multimedia; tools; visualization
40#
發(fā)表于 2025-3-28 12:53:18 | 只看該作者
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