A deep correlation mining method is proposed, which trains different media features by deep learning, and then fuses the correlation between the trained ...
Cross-media retrieval is a technology aimed at breaking through the shackles of single-mode retrieval technology, which is limited to the same multimedia ...
Oct 22, 2024 · To solve the above problems, a deep correlation mining method is proposed, which trains different media features by deep learning, and then ...
Title: A cross-modal multimedia retrieval method using depth correlation mining in big data environment. ; Language: English ; Authors: Xia, Dongliang1 (AUTHOR)
A cross-modal multimedia retrieval method using depth correlation mining in big data environment · Comparative analysis on cross-modal information retrieval: A ...
This paper focuses on a comparative analysis of various research works in the field of cross-modal information retrieval.
30 October 2019 Pages: 1311 - 1337. A cross-modal multimedia retrieval method using depth correlation mining in big data environment. Dongliang Xia; Lu Miao ...
Based on the common subspace learning, this paper uses the extreme learning machine method to improve the cross-modal retrieval accuracy, mining deeper data ...
We propose a novel, graph-based approach, "MMG", to discover such cross-modal correlations.Our "MMG" method requires no tuning, no clustering, no user- ...
Missing: depth big
This paper conducts a comprehensive review of cross-modal retrieval's evolution, spanning from shallow statistical analysis techniques to vision-language pre- ...