Name
Abstract | ||
|---|---|---|
This paper presents a system for content-based video retrieval, with a complete toolchain for annotation, indexing, retrieval and visualization of imported data. The system contains around 20 feature descriptors, a modular infrastructure for descriptor addition and indexing, a web-based search interface and an easy-to-use query-annotation-result visualization module. The features that make this system differ from others is the support of all the steps of the retrieval chain, the modular support for standard MPEG-7 and custom descriptors, and the easy-to-use tools for query formulation and retrieval visualization. The intended use cases of the system are content- and annotation-based retrieval applications, ranging from community video portals to indexing of image, video, judicial, and other multimedia databases. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04697-1_25 | ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS |
Keywords | Field | DocType |
use case,indexation | Use case,Annotation,Query expansion,Information retrieval,Video retrieval,Visualization,Computer science,Search engine indexing,Modular design,Toolchain | Conference |
Volume | ISSN | Citations |
5807 | 0302-9743 | 5 |
PageRank | References | Authors |
0.45 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Levente Kovács | 1 | 98 | 38.25 |
| Ákos Utasi | 2 | 49 | 6.40 |
| Sziranyi, T. | 3 | 395 | 44.76 |