Blind late fusion in multimedia event retrieval

Publication Type

Journal Article

Publication Date

11-2016

Abstract

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.

Keywords

Multimedia event retrieval, Multimodal, Integration, Late fusion

Discipline

Data Storage Systems | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

International Journal of Multimedia Information Retrieval

Volume

5

Issue

4

First Page

203

Last Page

217

ISSN

2192-6611

Identifier

10.1007/s13735-016-0112-9

Publisher

Springer Link

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