Multimedia data are widely used in all areas. In multimedia information retrieval late semantic fusion is used to combine textual pre-filtering with an image reranking. Three steps are used for retrieval processes. Visual and textual techniques are combined to help the developed multimedia information retrieval system to minimize the semantic gap for given query. In the paper, different late semantic fusion approaches i.e. product, enrich, MaxMerge and FilterN are used and for experiments publicly available ImageCLEF Wikipedia collection is used.