Rusnandi, Enang and Winarko, Edi and Sn, Azhari (2020) A Survey on Multimodal Information Retrieval Approach. In: International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development Conference Paper 2020.
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Abstract
There has been more content with various types needed by users. It comes from specific websites or databases. It causes a need to access the content through a retrieval system that can produce content that meets the demand. The existing searching applications still provide services aimed at only one particular modality, such as text, audio, or video. Therefore, research aimed at developing multimodal searching systems is still a significant opportunity in this field. In this paper, we review the multimodal information retrieval systems that have proposed in the previous research. And they discussed the components and mechanisms of the multimodal retrieval used by them. In this way, it will be clear on how they apply their approach to problem-solving on multimodality content searching. At the end of the discussion, there are some ideas or issues related to the problem. © 2020 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Cited by: 2; Conference name: 2020 International Conference on Smart Technology and Applications, ICoSTA 2020; Conference date: 20 February 2020; Conference code: 159570 |
| Uncontrolled Keywords: | Multimodal, Retrieval, Searching, Application, Approach, System |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department |
| Depositing User: | Sri JUNANDI |
| Date Deposited: | 12 Aug 2025 01:44 |
| Last Modified: | 12 Aug 2025 01:44 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/16911 |
