Efficient unsupervised video hashing with contextual modeling and structural controlling

• Main Authors: DUAN, Jingru, HAO, Yanbin, ZHU, Bin, CHENG, Lechao, ZHOU, Pengyuan, WANG, Xiang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Codes; Computational modeling; Context modeling; Data Structure; Data structures; Deep Neural Network; Feature extraction; Hash functions; Large-scale retrieval; Transformers; Video hashing; Graphics and Human Computer Interfaces; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/8723; https://ink.library.smu.edu.sg/context/sis_research/article/9726/viewcontent/TMM_zhu24_av.pdf
• Institution: Singapore Management University

The most important effect of the video hashing technique is to support fast retrieval, which is benefiting from the high efficiency of binary calculation. Current video hash approaches are thus mainly targeted at learning compact binary codes to represent video content accurately. However, they may...