Efficient unsupervised video hashing with contextual modeling and structural controlling

• المؤلفون الرئيسيون: DUAN, Jingru, HAO, Yanbin, ZHU, Bin, CHENG, Lechao, ZHOU, Pengyuan, WANG, Xiang
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2024
• الموضوعات: 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
• الوصول للمادة أونلاين: 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
• المؤسسة: 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...