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An analysis of object-based intelligent image processing and retrieval system

Li, J.B., Fung, C.C. and Wong, K.W. (2005) An analysis of object-based intelligent image processing and retrieval system. In: 2005 5th International Conference on Information, Communications and Signal Processing, 6-9 Dec. 2005, Bangkok, Thailand pp. 315-319.

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    Link to Published Version: http://dx.doi.org/10.1109/ICICS.2005.1689058
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    Abstract

    In order to improve the process of analysis and retrieval of images, it is necessary to examine the execution of such program at the lowest level. This paper reports the results obtained from profiling the execution of an object-oriented image processing and analysis program termed ImageJ. Although profiling has been used in software engineering to identify execution bottlenecks, to our knowledge, it has not been considered as a means of analysis object based distributed image processing systems. The paper summaries the characteristics of the program in four aspects: classes and method codes profiling, method calls, parameter types and return types and CPU percentage. The profiling results show that the total amount of classes that was loaded at runtime is invariant to the change of the image size. Similar behaviours are observed for parameter types and return types. Based on the information, an intelligent monitor can be used to carry out automatic load scheduling and balancing.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Publisher: IEEE
    Copyright: (c) 2005 IEEE.
    Notes: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    URI: http://researchrepository.murdoch.edu.au/id/eprint/615
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