Convolutional neural networks for relevance feedback in content based image retrieval
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09292-9
Abstract: Given the great success of Convolutional Neural Network (CNN) for image representation and classification tasks, we argue that Content-Based Image Retrieval (CBIR) systems could also leverage on CNN capabilities, mainly when Relevance Feedback (RF) mechanisms… read more here.
Keywords: based image; image; content based; image retrieval ... See more keywords
Block-based pseudo-relevance feedback for image retrieval
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Experimental and Theoretical Artificial Intelligence"
DOI: 10.1080/0952813x.2021.1938695
Abstract: Pseudo-relevance feedback (PRF) is a relevance feedback (RF) technique for information retrieval that treats the top k retrieved images as relevance feedback. PRF is used to avoid the limitations o... read more here.
Keywords: retrieval; pseudo relevance; relevance feedback; relevance ... See more keywords