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Rekabsaz, Navid, Bierig, Ralf, Ionescu, Bogdan, Hanbury, Allan and Lupu, Mihai (2015) On the Use of Statistical Semantics for Metadata-Based Social Image Retrieval. 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI). pp. 1-4. ISSN 1949-3991
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Abstract
We revisit text-based image retrieval for social
media, exploring the opportunities offered by statistical semantics. We assess the performance and limitation of several
complementary corpus-based semantic text similarity methods
in combination with word representations. We compare results
with state-of-the-art text search engines. Our deep learning-based semantic retrieval methods show a statistically significant
improvement in comparison to a best practice Solr search engine,
at the expense of a significant increase in processing time. We
provide a solution for reducing the semantic processing time up
to 48% compared to the standard approach, while achieving the
same performance.
| Item Type: | Article |
|---|---|
| Keywords: | Semantics; Image retrieval; Indexing; Context; Encyclopedias; Correlation; |
| Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 15205 |
| Identification Number: | 10.1109/CBMI.2015.7153634 |
| Depositing User: | Ralf Bierig |
| Date Deposited: | 10 Jan 2022 13:26 |
| Journal or Publication Title: | 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI) |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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