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1

Hierarchical Graph-Based Media Content Representation for Real Time Search in Large Scale Multmedia Databases

Papadakis N., Doulamis N., Doulamis A.

Machine Graphics and Vision

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2010

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Vol. 19, No. 3

247-263

EN

This paper presents a system architecture and the appropriate algorithms for confidential searching of digital multimedia libraries. The proposed scheme uses the Middleware service layer that allows pre-processing of raw content with the technology owned by the Search Engine, without compromising the security of the original architecture in any way. The specific search algorithms described are a hierarchical graph structure algorithm for preprocessing, and a backtracking search algorithm that achieves good real-time performance (speed, and precision-recall values) under the given security constraints.

2

Non-linear prediction of rendering workload for grid infrastructure

Doulamis N., Doulamis A.

Machine Graphics and Vision

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2004

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Vol. 13, No. 1/2

123-135

EN

Grid computering clusters a wide variety of geographically distributed resoures. As a result it can be considered as a promising platform for solving large scale intensive problems. For this reason, it can be viewed as one of the hotters issues in the computer society. A computational intensive application which can be gained from such a Grid infrastructure, is rendering, a process dealing with creating realistic computer-generated image and with many applications ranging from simulation to design and entertainment. To implement, however, a rendering process in a Grid infrastructure prediction of this computational complexity is required. In this paper, this is addressed by using several neural network modules, each of which is appropriate for a given rendering process. For this reason, a feature vector is constructed initially, to describe with high efficiency the parameters affecting the complexity of a rendering algorithm. The feature vector is estimated by parsing a file in a RIB format. Then, prediction is performed using a neural network model. predictions for three types of rendering algorithms are examined; the ray tracing, the radiosity and the Monte Carlo irradiance analysis.

3

A dynamically trained neural network for machine vision applications

Doulamis N., Doulamis A., Kollias S.

Machine Graphics and Vision

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1998

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Vol. 7, No. 1/2

113-123

EN

A dynamically trained neural network is proposed in this paper proper for adapting the network performance to non stationary image or video inputs. The sheme includes, on one hand, a retrieval mechanism which selects the most approprite network from the system memory and, on the other hand, a weight perturbation procedure which adapts the network weights to the current condition. If no suitable network exists in memory, new weights and network structure are crated and them stored for future use. Experimental results are provided indicating the good performance of the proposed system to computer and machine vision applications.