By Yannis Manolopoulos
Advanced Signature Indexing for Multimedia and internet Applications offers the most recent examine advancements in signature-based indexing and question processing, particularly in multimedia and net domain names. those domain names now call for a unique designation of hashing info in bit-strings (i.e., signatures), and new indexes and question processing equipment. The booklet offers suggestions to those matters and addresses the ensuing standards, which aren't thoroughly dealt with via current ways. Examples of those functions comprise: looking for comparable pictures, representing multi-theme layers in maps, recommending items to Web-clients, and indexing huge Web-log records. specific emphasis is given to constitution description, implementation strategies and transparent review of operations played (from a functionality perspective).
Advanced Signature Indexing for Multimedia and net Applications is a superb reference for execs enthusiastic about the advance of purposes in multimedia databases or the net and should additionally function a textbook for complicated point classes in database and data retrieval structures.
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Additional resources for Advanced Signature Indexing for Multimedia and Web Applications
In the following, we will present four splitting algorithms, one of linear, two of quadratic, and one of cubic complexity. Our linear algorithm behaves similarly to the original linear algorithm . The first quadratic algorithm adapts the R-tree splitting algorithm, taking into account signature properties. The other new quadratic split algorithm is based on hierarchical clustering. Finally, the cubic algorithm is based on an exhaustive search of the best couple of seeds, based on a minimization criterion.
Thus, at the leaf level, all signatures satisfying the user query lead to the objects that may be the desired ones (after discarding false-drops). In case of an unsuccessful search, searching may stop early at some level above the leaf level, if the query signature has Is at positions, where the stored signatures have Os. For the insertion of a new signature, the appropriate leaf is selected by traversing the tree in a top-down manner and choosing at each level the child node whose signature will require the minimum weight increase.
2K PageSiZI, tOOK Entries •• ~30 j 0 . 20 , • 20 . '00 (a) 12. 2. Comparison of estimation functions of the (a) original and (b) quadratic split methods, as a function of the query weight. 2a illustrates the results for 10,000 entries of length 512 and weight 120. The used split algorithm was the original linear one. 2b, results are given for 100,000 entries of length 1024 and weight 256, where the split algorithm was the quadratic. As shown, TI-U cannot provide accurate results because the assumption that the distribution of Is at the upper tree levels is uniform, is not adequate.