BoW + 2grams + doc2vecWiki.

We report three results for the adoption of *FV*, in its different embedding approaches, as a representation model for prediction tasks, in Soccer, Brodatz, and UW. We report the results for multiple descriptor combinations, in order to analyze: (i) the method against baselines, (ii) the embedding approaches, and (iii) the comparative effectiveness between the descriptor combinations. The descriptor combinations selected, although not exhaustive, are targeted for a large number of scenarios. In Soccer and Brodatz, all possible combinations were selected for evaluation. In UW, several visual combinations and multimodal combinations were selected. The descriptor combinations are:

-   In Soccer: ACC + BIC, BIC + GCH, ACC + GCH, and ACC + BIC + GCH.

-   In Brodatz: CCOM + FCTH, CCOM + JCD, FCTH + JCD, and CCOM + FCTH + JCD.

-   In UW: ACC + CEDD, ACC + JCD, CEDD + JAC, CEDD + JCD, ACC + CEDD + JCD, and CEDD + JAC + JCD, for visual fusion, and ACC + doc2vecApnews, JCD + doc2vecApnews, ACC + JCD + doc2vecApnews, ACC + JCD + doc2vecWiki, ACC + JCD + word2vecAvg, and ACC + JCD+word2vecSum, for multimodal fusion.

Results and Discussion
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