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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Fusion Techniques for Combining Textual and Visual Information Retrieval
verfasst von : Adrien Depeursinge, Henning Müller
Erschienen in: ImageCLEF
Verlag: Springer Berlin Heidelberg
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This chapter describes several approaches for information fusion that have been used in ImageCLEF over the past seven years. In this context, the fusion of information is mainly meant to combine textual and visual retrieval. Data fusion techniques from 116 papers (62% of ImageCLEF working notes) are categorized, described and discussed. It was observed that three general approaches were used for retrieval that can be categorized based on the system level chosen for combining modalities: 1) at the input of the system with inter–media query expansion, 2) internally to the system with early fusion and 3) at the output of the system with late fusion which is by far the most widely used fusion strategy.