Blind late fusion in multimedia event retrieval
One of the challenges in Multimedia Event Retrieval is the integration of data from multiple modalities. A modality is defined as a single channel of sensory input, such as visual or audio. We also refer to this as data source. Previous research has shown that the integration of different data sourc...
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sg-smu-ink.sis_research-74232021-11-23T01:36:02Z Blind late fusion in multimedia event retrieval DE BOER, Maaike H. T. SCHUTTE, Klamer ZHANG, Hao LU, Yi-Jie NGO, Chong-wah KRAAIJ, Wessel One of the challenges in Multimedia Event Retrieval is the integration of data from multiple modalities. A modality is defined as a single channel of sensory input, such as visual or audio. We also refer to this as data source. Previous research has shown that the integration of different data sources can improve performance compared to only using one source, but a clear insight of success factors of alternative fusion methods is still lacking. We introduce several new blind late fusion methods based on inversions and ratios of the state-of-the-art blind fusion methods and compare performance in both simulations and an international benchmark data set in multimedia event retrieval named TRECVID MED. The results show that five of the proposed methods outperform the state-of-the-art methods in a case with sufficient training examples (100 examples). The novel fusion method named JRER is not only the best method with dependent data sources, but this method is also a robust method in all simulations with sufficient training examples. 2016-11-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/6420 info:doi/10.1007/s13735-016-0112-9 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Multimedia event retrieval Multimodal Integration Late fusion Data Storage Systems Graphics and Human Computer Interfaces |
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Multimedia event retrieval Multimodal Integration Late fusion Data Storage Systems Graphics and Human Computer Interfaces DE BOER, Maaike H. T. SCHUTTE, Klamer ZHANG, Hao LU, Yi-Jie NGO, Chong-wah KRAAIJ, Wessel Blind late fusion in multimedia event retrieval |
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One of the challenges in Multimedia Event Retrieval is the integration of data from multiple modalities. A modality is defined as a single channel of sensory input, such as visual or audio. We also refer to this as data source. Previous research has shown that the integration of different data sources can improve performance compared to only using one source, but a clear insight of success factors of alternative fusion methods is still lacking. We introduce several new blind late fusion methods based on inversions and ratios of the state-of-the-art blind fusion methods and compare performance in both simulations and an international benchmark data set in multimedia event retrieval named TRECVID MED. The results show that five of the proposed methods outperform the state-of-the-art methods in a case with sufficient training examples (100 examples). The novel fusion method named JRER is not only the best method with dependent data sources, but this method is also a robust method in all simulations with sufficient training examples. |
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DE BOER, Maaike H. T. SCHUTTE, Klamer ZHANG, Hao LU, Yi-Jie NGO, Chong-wah KRAAIJ, Wessel |
author_facet |
DE BOER, Maaike H. T. SCHUTTE, Klamer ZHANG, Hao LU, Yi-Jie NGO, Chong-wah KRAAIJ, Wessel |
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DE BOER, Maaike H. T. |
title |
Blind late fusion in multimedia event retrieval |
title_short |
Blind late fusion in multimedia event retrieval |
title_full |
Blind late fusion in multimedia event retrieval |
title_fullStr |
Blind late fusion in multimedia event retrieval |
title_full_unstemmed |
Blind late fusion in multimedia event retrieval |
title_sort |
blind late fusion in multimedia event retrieval |
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Institutional Knowledge at Singapore Management University |
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2016 |
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https://ink.library.smu.edu.sg/sis_research/6420 |
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