In this paper, we propose a novel tree fusion framework: Feature Forest, utilizing and fusing different kind of local visual descriptors to achieve a better ...
Vocabulary tree-based method is one of the most popular methods for content-based image retrieval due to its efficiency and effectiveness However, ...
This work has developed a system that allows users to take photos of famous landmarks using a smartphone and receive information of landmarks from the ...
In this paper, we propose a novel tree fusion framework: Feature Forest, utilizing and fusing different kind of local visual descriptors to achieve a better ...
This paper introduces random forest as a computational and data structure paradigm for fusing low-level visual features and high-level semantic concepts for ...
Jul 7, 2020 · This paper introduces random forest as a computational and data structure paradigm for fusing low-level visual features and high-level ...
This paper addresses the problem of similar image re- trieval, especially in the setting of large-scale datasets with millions to billions of images.
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The visual codebook is typically constructed by applying k-means cluster- ing to the local descriptors (e.g., Scale Invariant Feature Transform descriptors).
In this paper, we present a novel approach for image retrieval based on extraction of low level features using techniques such as Directional Binary Code ...