Multiple Visual-Semantic Embedding for Video Retrieval from Query Sentence

Multiple Visual-Semantic Embedding for Video Retrieval from Query Sentence

Visual-semantic embedding aims to learn a joint embedding space where related video and sentence instances are located close to each other. Most existing methods put instances in a single embedding space. However, they struggle to embed instances due to the difficulty of matching visual dynamics in...

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Bibliographic Details
Main Authors:	Huy Manh Nguyen, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Applied Sciences
Subjects:	video retrieval visual-semantic embedding multiple embedding spaces
Online Access:	https://www.mdpi.com/2076-3417/11/7/3214

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