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In this paper, we propose a parallel, unified model for the indexing and retrieval by content of multimedia data using a weighted cascade. [4] Each multimedia data type can be viewed as k-dimensional (k-d) data in spatio-temporal domain. [3] Each dimension of the data is separated into small blocks and then formed into a multidimensional tree structure,(More)
In this paper, we propose a parallel, unified model for the indexing and retrieval by content of multimedia data using multiresolution processing. Each multimedia data type can be represented by k-dimensional (k-d) signals in the spatio-temporal domain. [1] These k-d signals are separated into small blocks and then formed into a multidimensional tree(More)
Researchers are currently more interested in searching for fragments that are similar to a query, than a total data item that is similar to a query; the search interest is for " contains " , not " is ". This paper presents an) (logn O algorithm, called the " generalized virtual node (GVN) " algorithm; the GVN algorithm is a search algorithm for data(More)
In this paper, we propose a data partitioning scheme for content-based retrieval from a multimedia database using a heterogeneous cluster system. The proposed parallel unified model [6] was used to represent multimedia data. All types of multimedia data in the unified model are represented by k-dimensional(k-d) signals. Each dimension of k-d data is(More)
– In this paper, we propose a parallel model for content-based retrieval form a multimedia database using a heterogeneous cluster system. The proposed parallel unified model [6] was used to represent multimedia data. All types of multimedia data in the unified model are represented by k-dimensional signals. Each dimension of k-d data is separated into small(More)
In this paper, we propose a static data partitioning scheme for content-based multimedia data retrieval using a heterogeneous cluster system. Multimedia data is represented by unified k-tree structure of k-dimensional(k-d) signals proposed in [6]. Each dimension of k-d data is separated into small blocks and then formed into a hierarchical multidimensional(More)
The huge data sizes of images, the enormous number of images in a typical image database, coupled with the inexact nature, and subjective interpretations of images have called for content-based retrievals, which place enormous demands on computation. Network of workstations (NOWs) are a cost-eeective way of providing the much needed computational power in(More)
modelling the various kind of fluid based on Smoothed Particle Hydrodynamics (SPH) in modelling and simulating the gas flow with free surfaces. The modelling technique uses particle system together with molecular dynamics and also any possible external forces. The fluid equations previously used to model compressible fluid are now used to model(More)
Image databases have applications in digital libraries, radiological image archives, satellite imagery for earth resources , law enforcement, etc. The huge data sizes of images , the enormous number of images in a typical image database, coupled with the inexact nature, and subjective interpretations have called for content-based retrieval systems. Fast and(More)
The explosive increases in the amounts of image (and multimedia) data being generated, processed, and used in several computer applications have necessitated the development of image (and multimedia) database systems. Example applications for image databases include digital libraries, radiological image archives, satellite imagery for earth resources, law(More)
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