Metrical Properties of Nested Partitions for Image Retrieval-Reference-Cited by-同舟云学术

Metrical Properties of Nested Partitions for Image Retrieval

Published: Issue: Volume: Page:18-49
ISSN:
Container-title:Machine Learning Techniques for Adaptive Multimedia Retrieval
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Author:

Kinoshenko Dmitry¹,Mashtalir Vladimir¹,Shlyakhov Vladislav¹,Yegorova Elena¹

Affiliation:

1. Kharkiv National University of Radio Electronics, Ukraine

Abstract

This chapter proposes a metric on partitions of arbitrary measurable sets and its special properties for metrical content-based image retrieval based on the ‘spatial’ semantic of images. The approach considers images represented in the form of nested partitions produced by any segmentations. Nested partitions representation expresses a degree of information refinement or roughening and so not only corresponds to rational content control but also ensures creation of specific search algorithms (e.g. invariant to image background) and synthesize hierarchical models of image search reducing the number of query and database elements match operations.

Publisher

IGI Global

Reference28 articles.

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