Download Shape Analysis and Retrieval of Multimedia Objects by Maytham H. Safar PDF

By Maytham H. Safar

Shape research and Retrieval of Multimedia items offers a accomplished survey of the main complicated and robust form retrieval ideas utilized in perform this day. additionally, this monograph addresses key methodological concerns for assessment of the form retrieval equipment.
Shape research and Retrieval of Multimedia Objects is designed to satisfy the desires of practitioners and researchers in undefined, and graduate-level scholars in computing device Science.

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Extra info for Shape Analysis and Retrieval of Multimedia Objects

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They describe the direction relations between objects based on either the projection-based method [25! 63], or cone-di1'ections method [66] .. For this book, since we investigate shape retrieval based on M BG, we also utilize the M BCs to answer spatial queries. We use ,S'phere-f1'ee [57] (which is an indexing technique based on MBGs) to store and manage the objects' M BG approximations. Therefore, we will describe how to support spatial queries such as topological and direction relations between objects using their M BGs [70].

For similarity retrieval of images, the Euclidean distance Dist(Q, I), can be computed between the query image and all the database images. The list can then be sorted based on the value of the distance in an increasing order. The output of such a retrieval is known as the ranked similarity output. Another similarity measure is the Image Similarity Af'easures 11 weighted C1'OSS distance function [55]. This metric takes the perceptual similarity between the different components (elements) of the feature vectors into account.

Therefore, any shape representation technique should extract the shape features that experts may deem appropriate for the application domain. , global and local) are commonly used to describe objects [29]. , area, perimeter). Since the entire shape is required to compute these properties, shape matching and retrieval techniques using global feature-based shape representation cannot handle images containing partially visible, overlapping, or touching objects. Local features are the structural features that can be computed from a shape's M.

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