Nikitas A. Alexandridis

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In this paper, we propose a unified model for indexing and retrieving multimedia data using characteristic features and multiresolution processing. All multimedia data types, such as audio and video, are represented as a k-dimensional signal in a spatio-temporal domain [3]. A k-dimensional signal is transformed into characteristic features and these(More)
The explosive increase 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 with newer features such as content-based indices and similarity searches. This paper presents a scheme for content-based retrievals in image(More)
In this paper, we propose a model for the fast retrieval image data using multiple features based on multiresolution processing. We demonstrate our performance results by searching an image database of approximately 30,000 24-bit color photographic images. We use identical structures to build the index keys from the two features using histogram generation(More)
Job Management Systems (JMSs) efficiently schedule and monitor jobs in parallel and distributed computing environments. Therefore, they are critical for improving the utilization of expensive resources in high-performance computing systems and centers, and an important component of grid software infrastructure. With many JMSs available commercially and in(More)
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)
We present a uniform construct of parallel programming for a set of image processing tasks based on our Distributed Computing Primitive DCP concept. Our target architecture is a heterogeneous computing network system consisting of various high performance workstations connected through a local area network. We show that DCP has advantages over non-primitive(More)
Reconfigurable Computers (RCs) can leverage the synergism between conventional processors and FPGAs to provide low-level hardware functionality at the same level of programmability as general-purpose computers. In a large class of applications, the total I/O time is comparable or even greater than the computations time. As a result, the rate of the DMA(More)