5 papers
Unsupervised Hashing with Semantic Concept Mining
Rong-Cheng Tu, Xian-Ling Mao, Kevin Qinghong Lin +5
Recently, to improve the unsupervised image retrieval performance, plenty of unsupervised hashing methods have been proposed by designing a semantic similarity matrix, which is bas…
A multi-level approach with visual information for encrypted H.265/HEVC videos
Wenying Wen, Rongxin Tu, Yushu Zhang +2
High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption. To achieve high video security, to the best of our…
Deep Cross-modal Hashing via Margin-dynamic-softmax Loss
Rong-Cheng Tu, Xian-Ling Mao, Rongxin Tu +3
Due to their high retrieval efficiency and low storage cost for cross-modal search task, cross-modal hashing methods have attracted considerable attention. For the supervised cross…
Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning
Rong-Cheng Tu, Xian-Ling Mao, Bing Ma +4
Due to their high retrieval efficiency and low storage cost, cross-modal hashing methods have attracted considerable attention. Generally, compared with shallow cross-modal hashing…
Object Detection based Deep Unsupervised Hashing
Rong-Cheng Tu, Xian-Ling Mao, Bo-Si Feng +2
Recently, similarity-preserving hashing methods have been extensively studied for large-scale image retrieval. Compared with unsupervised hashing, supervised hashing methods for la…