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Multimodal query-level fusion for efficient multimedia information retrieval
Date
2018-10-01
Author
Sattari, Saeid
Yazıcı, Adnan
Metadata
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Managing a large volume of multimedia data containing various modalities such as visual, audio, and text reveals the necessity for efficient methods for modeling, processing, storing, and retrieving complex data. In this paper, we propose a fusion-based approach at the query level to improve query retrieval performance of multimedia data. We discuss various flexible query types including the combination of content as well as concept-based queries that provide users with the ability to efficiently perform multimodal querying. We have carried out a number of experiments on a video database to show the efficiency of our approach for various types of queries. Our experimental results show that our query-level fusion approach presents a notable improvement in retrieval performance especially for the concept-based queries.
Subject Keywords
Query level fusion
,
Query expansion
,
Multimodal query
,
Multimedia database
,
Cross-modal retrieval
URI
https://hdl.handle.net/11511/37805
Journal
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
DOI
https://doi.org/10.1002/int.21920
Collections
Department of Computer Engineering, Article
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S. Sattari and A. Yazıcı, “Multimodal query-level fusion for efficient multimedia information retrieval,”
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
, pp. 2019–2037, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37805.