Download Advanced Signature Indexing for Multimedia and Web by Yannis Manolopoulos PDF

By Yannis Manolopoulos

ISBN-10: 1461346541

ISBN-13: 9781461346548

Advanced Signature Indexing for Multimedia and net Applications offers the newest study advancements in signature-based indexing and question processing, in particular in multimedia and net domain names. those domain names now call for a distinct designation of hashing details in bit-strings (i.e., signatures), and new indexes and question processing equipment. The ebook offers suggestions to those concerns and addresses the ensuing standards, which aren't properly dealt with through current ways. Examples of those functions contain: trying to find comparable photos, representing multi-theme layers in maps, recommending items to Web-clients, and indexing huge Web-log records. particular emphasis is given to constitution description, implementation recommendations and transparent review of operations played (from a functionality perspective).

Advanced Signature Indexing for Multimedia and net Applications is a wonderful reference for execs inquisitive about the advance of functions in multimedia databases or the net and should additionally function a textbook for complex point classes in database and data retrieval structures.

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Extra info for Advanced Signature Indexing for Multimedia and Web Applications

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Trying to totally avoid sequential searching, tree structures like the S-tree have been proposed, along with the partitioning of the superimposed signature files. Horizontal or vertical fragmentation in combination with hashing techniques were studied in [5, 9, 10J. Zezula et al. proposed a similar approach, the method of Quick Filter [16J. In [2], the hybrid structure of Parametric Weighted Filter (PWF) was introduced, Y. , Advanced Signature Indexing for Multimedia and Web Applications © Springer Science+Business Media New York 2003 40 ADVANCED SIGNATURE INDEXING enhancing the method of Quick Filter, while taking advantage of the hash-based partitioning methods.

For example, suppose that at a specific point in time, the file size is N pages. In such a case, there are 2h-N pages addressed with a signature key suffix of h-l bits, whereas there are 2N-2h pages that are addressed with a key suffix of h bits. The parameter h is called hash level and satisfies the equation 2h - 1 < N ::; 2h. The Parametric Weighted Filter, also, uses the method of Linear Hashing in order to partition the signature file. e. each hash table address, corresponds not only to one, but to a specific number of pages.

Additionally, we assume that all signatures have the same weight I and that in each signature all Is are uniformly distributed. The same assumption for uniform distribution of Is holds also for the query signatures. These are realistic assumptions 24 ADVANCED SIGNATURE INDEXING for many hash functions for signature generation. 1 gives all symbols used in the following. 1. Symbol Table. Symbol h n nd N 'Yi F 'Y 'Yq 'Yd P Pi "'ii Definition tree height total number of signatures average number of a node's signatures at depth d (1 ::; d ::; h) total number of tree nodes weight of the signature of node i (in father node) signature length signature weight query signature weight average signature weight at depth d (1 ::; d ::; h) number of histogram partitions number of weight values in i-th histogram partition (1 ::; i ::; P) average weight within i-th histogram partition (1 ::; i ::; P) The estimation of disk accesses for a partial match query with weight can be made independently of the resulted tree.

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