Name
Abstract | ||
|---|---|---|
Content-based image classification/retrieval based on image descriptors has become an essential component in most database systems. However, most existing systems do not provide mechanisms that enable interactive multi-objective queries, hampering the user experience. In this paper we present a novel methodology capable of accomplishing multi-objective searches while still being interactive. Our approach relies on a combination of class-specific metrics and multidimensional projection to devise an effective and interactive image retrieval system. Besides allowing visual exploration of image data sets, the provided results and comparisons show that the proposed approach outperforms existing methods, turning out to be a very attractive alternative for managing image data sets. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/SIBGRAPI.2011.27 | SIBGRAPI |
Keywords | Field | DocType |
existing system,class-specific metrics,interactive image retrieval system,attractive alternative,projection-based image retrieval,multi-objective search,image descriptors,content-based image classification,image data set,interactive multi-objective query,image retrieval,database system,image classification,user experience | Data mining,Human–computer information retrieval,Automatic image annotation,Feature detection (computer vision),Information retrieval,Image texture,Computer science,Image retrieval,Digital image processing,Content-based image retrieval,Visual Word | Conference |
ISBN | Citations | PageRank |
978-1-4577-1674-4 | 1 | 0.35 |
References | Authors | |
15 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paulo Joia | 1 | 119 | 4.45 |
| Erick Gomez-Nieto | 2 | 60 | 5.16 |
| Glenda Botelho | 3 | 8 | 1.88 |
| Joao do Espirito Santo Batista Neto | 4 | 1 | 0.35 |
| Afonso Paiva | 5 | 135 | 16.76 |
| Luis G. Nonato | 6 | 797 | 55.35 |