![Ιδρυματικό Αποθετήριο [SANDBOX]](images/dias.logo.png "Ιδρυματικό Αποθετήριο [SANDBOX]"){kind=logo}
Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/79F1EABE-7562-4E75-BD8E-8B2192851BCF | - |
| Αναγνωριστικό | https://doi.org/10.1145/1282280.1282358 | - |
| Γλώσσα | en | - |
| Τίτλος | Searching for logo and trademark images on the web | en |
| Δημιουργός | Petrakis Evripidis | en |
| Δημιουργός | Πετρακης Ευριπιδης | el |
| Δημιουργός | Epimenides Voutsakis | en |
| Δημιουργός | Milios Evangelos E. | en |
| Εκδότης | Association for Computing Machinery | en |
| Περίληψη | This work shows that it is possible to exploit text and image content characteristics of logo and trademark images in Web pages for enhancing the performance of retrievals on the Web. Searching for important (authoritative) Web pages and images is a desirable feature of many Web search engines and is also taken into account. State-of-the-art methods for assigning higher ranking to important Web pages, over other Web pages satisfying the query selection criteria, are considered and evaluated. PicASHOW exploits this idea in retrieval of important images on the Web using link information alone. WPicASHOW (Weighted PicASHOW), is a weighted scheme for co-citation analysis incorporating within the link analysis method of PicASHOW the text and image content of the queries and of the Web pages. The experimental results demonstrate that Web search methods utilizing content information (or combination of content and link information) perform significantly better than methods using link information alone. | en |
| Τύπος | Περίληψη Δημοσίευσης σε Συνέδριο | el |
| Τύπος | Conference Paper Abstract | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-01 | - |
| Ημερομηνία Δημοσίευσης | 2007 | - |
| Βιβλιογραφική Αναφορά | Euripides G.M. Petrakis, Epimenides Voutsakis, Evangelos Milios, "Searching for Logo and Trademark Images on the Web",in 6th ACM International Conference on Image and Video Retrieval (CIVR 2007),(2007), pp.541-548 . doi:10.1145/1282280.1282358 | en |
Copyright © DIAS 2013
