Name
Abstract | ||
|---|---|---|
Automatic multimedia retrieval requires the use of complex features, which are typically captured by multidimensional descriptors. A basic operation in a multimedia retrieval system is similarity computation, making use of descriptor-dependant metrics. Many data structures have been proposed for managing the representation of multidimensional descriptors, each geared towards efficiency in some set of basic operations. The paper describes a framework for evaluating multidimensional descriptor indexing structures and reports a set of experiments with selected descriptors indexing methods. The extensibility of the framework is illustrated by incorporating a recently-proposed structure, the BitMatrix. Data sets and experiment conditions can be set up so as to provide results that can be used in the choice of appropriate indexing structures for a class of multimedia retrieval applications. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICDEW.2007.4400978 | ICDE Workshops |
Keywords | Field | DocType |
database indexing,information retrieval,multimedia databases,BitMatrix,automatic multimedia retrieval,data structures,descriptor-dependant metrics,multidimensional multimedia descriptor indexing | Data mining,Data structure,Data set,Information retrieval,Similarity computation,Computer science,Search engine indexing,Database index,Extensibility,Multimedia,Database | Conference |
ISSN | Citations | PageRank |
1943-2895 | 3 | 0.39 |
References | Authors | |
21 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bruno Gonalves | 1 | 3 | 0.39 |
| Catalin Calistru | 2 | 18 | 3.00 |
| Cristina Ribeiro | 3 | 74 | 7.91 |
| Gabriel David | 4 | 131 | 11.89 |