We propose a scheme for mobile and distributed objects collection over the World Wide Web. Using the approach, we can deploy a collector easily on the site being indexed. This and the availability of Java virtual mach...
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We propose a scheme for mobile and distributed objects collection over the World Wide Web. Using the approach, we can deploy a collector easily on the site being indexed. This and the availability of Java virtual machines virtually everywhere make finer grained task distribution possible compared to other approaches. We then develop a mathematical model for data transfer time using HTTP. We conclude that the proposed collector will do better in terms of total transfer time compared to a centralized collector, provided that we have a reasonable compression ratio (less than 80%) and the round-trip time is relatively big (above 100 ms). (C) 2000 Elsevier Science B.V. All rights reserved.
This paper presents a new technique for corner shape based object retrieval from a database. The proposed feature matrix consists of values obtained through a neighborhood operation of detected corners. This result in...
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ISBN:
(纸本)9781424418343
This paper presents a new technique for corner shape based object retrieval from a database. The proposed feature matrix consists of values obtained through a neighborhood operation of detected corners. This result in a significant small size feature matrix. compared to the algorithms using color features and thus is computationally very efficient. The corners have been extracted by-finding the intersections of the detected lines found using Hough transform. As the affine transformations preserve the co-linearity of points on a line and their intersection properties, the resulting corner features for image retrieval are robust to affine transformations. Furthermore, the corner features are invariant to noise. It is considered that the proposed algorithm will produce good results in combination with other algorithms in a way of incremental verification for similarity.
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