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MultiFusion: A boosting approach for multimedia fusion

MultiFusion: A boosting approach for multimedia fusion MultiFusion: A Boosting Approach for Multimedia Fusion XIANGYU WANG, MOHAN KANKANHALLI, National University of Singapore The multimodal data usually contain complementary, correlated and redundant information. Thus, multimodal fusion is useful for many multisensor applications. Here, a novel multimodal fusion algorithm is proposed, which is referred to as œMultiFusion.  The approach adopts a boosting structure where the atomic event is considered as the fusion unit. The correlation of multimodal data is used to form an overall classi er in each iteration. Moreover, by adopting the Adaboost-like structure, the overall fusion performance is improved. Both the simulation experiment and the real application show the effectiveness of the MultiFusion approach. Our approach can be applied in different multimodal applications to exploit the multimedia data characteristics and improve the performance. Categories and Subject Descriptors: H.5.1 [Multimedia Information Systems]: Evaluation/Methodology; I.5.2 [Design Methodology]: Classi er Design and Evaluation General Terms: Algorithms Additional Key Words and Phrases: Decision fusion, boosting, atomic event multimodal fusion, adaboost ACM Reference Format: Wang, X. and Kankanhalli, M. 2010. MultiFusion: A boosting approach for multimedia fusion. ACM Trans. Multimedia Comput. Commun. Appl. 6, 4, Article 25 (November 2010), 18 pages. DOI = 10.1145/1865106.1865109 http://doi.acm.org/10.1145/1865106.1865109 1. INTRODUCTION The number http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) Association for Computing Machinery

MultiFusion: A boosting approach for multimedia fusion

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Association for Computing Machinery
Copyright
Copyright © 2010 by ACM Inc.
ISSN
1551-6857
DOI
10.1145/1865106.1865109
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Abstract

MultiFusion: A Boosting Approach for Multimedia Fusion XIANGYU WANG, MOHAN KANKANHALLI, National University of Singapore The multimodal data usually contain complementary, correlated and redundant information. Thus, multimodal fusion is useful for many multisensor applications. Here, a novel multimodal fusion algorithm is proposed, which is referred to as œMultiFusion.  The approach adopts a boosting structure where the atomic event is considered as the fusion unit. The correlation of multimodal data is used to form an overall classi er in each iteration. Moreover, by adopting the Adaboost-like structure, the overall fusion performance is improved. Both the simulation experiment and the real application show the effectiveness of the MultiFusion approach. Our approach can be applied in different multimodal applications to exploit the multimedia data characteristics and improve the performance. Categories and Subject Descriptors: H.5.1 [Multimedia Information Systems]: Evaluation/Methodology; I.5.2 [Design Methodology]: Classi er Design and Evaluation General Terms: Algorithms Additional Key Words and Phrases: Decision fusion, boosting, atomic event multimodal fusion, adaboost ACM Reference Format: Wang, X. and Kankanhalli, M. 2010. MultiFusion: A boosting approach for multimedia fusion. ACM Trans. Multimedia Comput. Commun. Appl. 6, 4, Article 25 (November 2010), 18 pages. DOI = 10.1145/1865106.1865109 http://doi.acm.org/10.1145/1865106.1865109 1. INTRODUCTION The number

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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) – Association for Computing Machinery

Published: Nov 1, 2010

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