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Aggregation of Multiple Pseudo-Relevance Feedbacks for Image Search Reranking
2019
IEEE Access
Image retrieval effectiveness can be improved by pseudo relevance feedback (PRF), which automatically uses top-k images of the initial retrieval result as the pseudo feedback. Since there are several different strategies for performing PRF leading to different search results, in this paper we focus on image search re-ranking by search result aggregation as a hybrid approach. In particular, different combinations of the original retrieval result with the result of PRF and the result of PRF by
doi:10.1109/access.2019.2942142
fatcat:jqucuyx4vrcqpg7jzv7vyv3ndu