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Browsing Department of Computer Science and Information Systems by Author "Ghosal, Sugata"

Browsing Department of Computer Science and Information Systems by Author "Ghosal, Sugata"

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  • Ghosal, Sugata (Elsevier, 2002-08)
    This chapter presents a novel technique for improving the accuracy of adaptable similarity based retrieval by incorporating negative relevance judgment, and demonstrates excellent performance and robustness of the proposed ...
  • Ghosal, Sugata (IEEE, 2002-08)
    Application of neural networks for guiding solutions of large numerical problems is an emerging area of research. Automatic generation of subdomains from large 3D finite element meshes is a key preprocessing step in domain ...
  • Ghosal, Sugata (IEEE, 1994-01)
    The paper presents a new parametric model-based approach to high-precision composite edge detection using orthogonal Zernike moment-based operators. It deals with two types of composite edges: (a) generalized step and (b) ...
  • Ghosal, Sugata (IEEE, 1996-02)
    Multiple moving objects, partially occluded objects, or even a single object moving against the background gives rise to discontinuities in the optical flow field in corresponding image sequences. While uniform global ...
  • Ghosal, Sugata (IEEE, 2002-06)
    Most interactive "query-by-example" based image retrieval systems utilize relevance feedback from the user for bridging the gap between the user's implied concept and the low-level image representation in the database. ...
  • Ghosal, Sugata (ACM Digital Library, 2002-12)
    Inherent subjectivity in user's perception of an image has motivated the use of relevance feedback (RF) in the image desigined output's retrieval process. RF techniques interactively determine the user's query concept, ...
  • Ghosal, Sugata (IEEE, 1997-06)
    In this paper, a novel model-based approach is proposed for generating a set of image feature maps (or primal sketches). For each type of feature, a piecewise smooth parametric model is developed to characterize the local ...
  • Ghosal, Sugata (Elsevier, 1993-02)
    A new approach to detect step edges with subpixel accuracy is presented. The proposed approach is based on a set of orthogonal complex moments of the image known as Zernike moments. An ideal two-dimensional (2D) step edge ...
  • Ghosal, Sugata (IEEE, 2005-04)
    Logical reorganization of data and requirements of differentiated QoS in information systems necessitate bulk data migration by the underlying storage layer. Such data migration needs to ensure that regular client I/Os are ...
  • Ghosal, Sugata (Elsevier, 1995)
    This paper presents an integrated neural net-based approach to the segmentation of range images into distinct surfaces, which is an essential step in range image analysis and interpretation. A two-stage connectionist neural ...
  • Ghosal, Sugata (IEEE, 1993)
    A new approach to range image segmentation is presented. The proposed approach involves two phases in which the region and edge information detected using a set of orthogonal Zernike moment-based operators are combined to ...
  • Ghosal, Sugata (IEEE, 1996)
    Automatic target recognition (ATR) applications require simultaneously a wide field of view (FOV) for better detection and situation awareness, high resolution for target recognition and threat assessment, and high frame ...
  • Ghosal, Sugata (ACM Digital Library, 2008-02)
    We present a new disk scheduling framework to address the needs of a shared multimedia service that provides differentiated multilevel quality-of-service for mixed-media workloads. In such a shared service, requests from ...

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