Abstract
Most documents on the web today contain image as well as text data. So far, classification of images has been dependent on the annotation. For the more efficient and accurate classification, not only textual data but also image contents should be considered. In this paper, we propose a novel method for classifying specific image data; sports images. The proposed method is based on the Bayesian framework and employs four important color features to exploit the properties of sports images.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Editors | Ricardo Conejo, Jose-Luis Perez-de-la-Cruz, Maite Urretavizcaya |
| Publisher | Springer Verlag |
| Pages | 546-555 |
| Number of pages | 10 |
| ISBN (Print) | 3540222189, 9783540222187 |
| DOIs | |
| Publication status | Published - 2004 |
| Externally published | Yes |
| Event | 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003 and 5th Conference on Technology Transfer, TTIA 2003 - San Sebastian, Spain Duration: 2003 Nov 12 → 2003 Nov 14 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3040 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 10th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2003 and 5th Conference on Technology Transfer, TTIA 2003 |
|---|---|
| Country/Territory | Spain |
| City | San Sebastian |
| Period | 03/11/12 → 03/11/14 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2004.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science