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https://hdl.handle.net/20.500.14279/10938
Τίτλος: | CoMo: a scale and rotation invariant compact composite moment-based descriptor for image retrieval | Συγγραφείς: | Vassou, Sotiris A. Anagnostopoulos, Nektarios Christodoulou, Klitos Amanatiadis, Angelos Chatzichristofis, Savvas A. |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Λέξεις-κλειδιά: | Compact composite descriptors;Content based image retrieval;Low level features | Ημερομηνία Έκδοσης: | 1-Φεβ-2019 | Πηγή: | Multimedia Tools and Applications, 2019, vol. 78, no. 3, pp. 2765-2788 | Volume: | 78 | Issue: | 3 | Start page: | 2765 | End page: | 2788 | Περιοδικό: | Multimedia Tools and Applications | Περίληψη: | Low level features play a significant role in image retrieval. Image moments can effectively represent global information of image content while being invariant under translation, rotation, and scaling. This paper presents CoMo: a moment based composite and compact low-level descriptor that can be used effectively for image retrieval and robot vision tasks. The proposed descriptor is evaluated by employing the Bag-of-Visual-Words representation over various well-known benchmarking image databases. The findings from the experimental evaluation provide strong evidence of high and competitive retrieval performance against various state-of-the-art local descriptors. | URI: | https://hdl.handle.net/20.500.14279/10938 | ISSN: | 13807501 | DOI: | 10.1007/s11042-018-5854-3 | Rights: | © Springer | Type: | Article | Affiliation: | Cyprus University of Technology Microsoft Neapolis University Pafos Democritus University of Thrace |
Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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