Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/47B4A8F0-2EB9-470E-9D90-834AC7155098 | - |
| Identifier | https://doi.org/10.1145/1141277.1141532 | - |
| Language | en | - |
| Title | Relevance feedback methods for logo and trademark image retrieval on the web | en |
| Creator | Petrakis Evripidis | en |
| Creator | Πετρακης Ευριπιδης | el |
| Creator | Voutsakis Epimenidis | en |
| Creator | Kontis Klaydios | en |
| Creator | Milios Evangelos E. | en |
| Publisher | Association for Computing Machinery | en |
| Content Summary | Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevance feedback on the Web by incorporating text and image content into the search and feedback process. Some of the most powerful relevance feedback methods are implemented and tested on a fully automated Web retrieval system with more than 250,000 logo and trademark images. This evaluation demonstrates that term re-weighting based on text and image content is the most effective approach. | en |
| Type of Item | Περίληψη Δημοσίευσης σε Συνέδριο | el |
| Type of Item | Conference Paper Abstract | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-01 | - |
| Date of Publication | 2006 | - |
| Bibliographic Citation | Euripides G.M. Petrakis, Klaydios Kontis, Epimenidis Voutsakis, Evangelos Milios, "Relevance Feedback Methods for Logo and Trademark Image Retrieval on the Web", in 21st ACM Symposium on Applied Computing (ACM SAC'2006), 2006, pp. 1084-1088. doi:10.1145/1141277.1141532 | en |
Copyright © DIAS 2013
