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  1. International Journal of Multimedia Information Retrieval
  2. International Journal of Multimedia Information Retrieval : Volume 5
  3. International Journal of Multimedia Information Retrieval : Volume 5, Issue 4, November 2016
  4. Blind late fusion in multimedia event retrieval
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International Journal of Multimedia Information Retrieval : Volume 6
International Journal of Multimedia Information Retrieval : Volume 5
International Journal of Multimedia Information Retrieval : Volume 5, Issue 4, November 2016
Major events in multimedia information retrieval
Blind late fusion in multimedia event retrieval
A novel approach for shape-based object recognition with curvelet transform
Robust facial expression recognition system based on hidden Markov models
Improving content-based image retrieval with compact global and local multi-features
IR_URFS_VF: image recommendation with user relevance feedback session and visual features in vertical image search
International Journal of Multimedia Information Retrieval : Volume 5, Issue 3, September 2016
International Journal of Multimedia Information Retrieval : Volume 5, Issue 2, June 2016
International Journal of Multimedia Information Retrieval : Volume 5, Issue 1, March 2016
International Journal of Multimedia Information Retrieval : Volume 4
International Journal of Multimedia Information Retrieval : Volume 3
International Journal of Multimedia Information Retrieval : Volume 2
International Journal of Multimedia Information Retrieval : Volume 1

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Blind late fusion in multimedia event retrieval

Content Provider Springer Nature Link
Author Boer, Maaike H. T. Ngo, Chong Wah Kraaij, Wessel Lu, Yi Jie Schutte, Klamer Zhang, Hao
Copyright Year 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.
Starting Page 203
Ending Page 217
Page Count 15
File Format PDF
ISSN 21926611
Journal International Journal of Multimedia Information Retrieval
Volume Number 5
Issue Number 4
e-ISSN 2192662X
Language English
Publisher Springer London
Publisher Date 2016-11-08
Publisher Place London
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Late fusion Information Systems Applications (incl.Internet) Integration Multimodal Information Storage and Retrieval Data Mining and Knowledge Discovery Image Processing and Computer Vision Computer Science Multimedia Information Systems Multimedia event retrieval
Content Type Text
Resource Type Article
Subject Library and Information Sciences Information Systems Media Technology
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