Efficient Unsupervised Video Hashing With Contextual Modeling and Structural Controlling

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...

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Veröffentlicht in:	IEEE transactions on multimedia 2024, Vol.26, p.7438-7450
Hauptverfasser:	Duan, Jingru, Hao, Yanbin, Zhu, Bin, Cheng, Lechao, Zhou, Pengyuan, Wang, Xiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Binary codes Codes Computational efficiency Computational modeling Computing costs Context modeling data structure Data structures deep neural network Feature extraction Hash functions large-scale retrieval Lightweight Neural networks Tensors Transformers Video hashing
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