Rank Fusion and Multimodal Per-topic Adaptiveness for Diverse Image Retrieval
نویسندگان
چکیده
This paper presents the MultiBrasil team experience in the Retrieving Diverse Social Images Task at MediaEval 2017. The teams were required to develop a diversification approach for social image retrieval, enhanced with visual summarization. Our proposal for relevance improvement relies on text and credibility-based reranking and rank aggregation. For diversification, we use diversity-oriented reranking and also propose a clustering-based query-adaptive diversity promotion approach. We applied Genetic Programming and Genetic Algorithm-based approaches for combining textual, visual, and user credibility information.
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تاریخ انتشار 2017