5Information Fusion for Multimodal Analysis and Recognition

Yongjin Wang

Ling Guan

Anastasios N. Venetsanopoulos

5.1 Introduction

The advances in sensing technology and the proliferation of multimedia content have motivated the design and development of computationally efficient and economically feasible multimodal systems for a broad spectrum of applications. Multimedia contain a combination of information content from different media sources in various content forms, such as audio, video, image, and text, each of which can be deemed as a modality in a multimodal multimedia representation. The integration of multimodal data contains more information about the semantics presented in the media, and may provide a more complete and effective pattern ...

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