Authors: | Ntalianis, Klimis Doulamis, Anastasios Tsapatsoulis, Nicolas Doulamis, Nikolaos |
Issue Date: | 27-Nov-2009 |
Conference: | 19th International Confence on Artificial Neural Networks (ICANN 2009), 14-17 September 2009, Limassol, Cyprus |
Book: | Artificial Neural Networks - ICANN 2009 |
Series: | Lecture Notes in Computer Science |
Keywords: | Automatic annotation of multimedia, Clickthrough data, Image retrieval |
Abstract: | Current low-level feature-based CBIR methods do not provide meaningful results on non-annotated content. On the other hand manual annotation is both time/money consuming and user-dependent. To address these problems in this paper we present an automatic annotation approach by clustering, in an unsupervised way, clickthrough data of search engines. In particular the query-log and the log of links the users clicked on are analyzed in order to extract and assign keywords to selected content. Content annotation is also accelerated by a carousel-like methodology. The proposed approach is feasible even for large sets of queries and features and theoretical results are verified in a controlled experiment, which shows that the method can effectively annotate multimedia files. |
ISBN: | 978-3-642-04277-5 978-3-642-04276-8 |
ISSN: | 1611-3349 |
DOI: | 10.1007/978-3-642-04277-5_90 |
URI: | https://uniwacris.uniwa.gr/handle/3000/2859 |
Type: | Conference Paper |
Department: | Department of Business Administration |
School: | School of Administrative, Economics and Social Sciences |
Affiliation: | University of West Attica (UNIWA) |
Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου |
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