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Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition
Huang, Yi1,2,3; Yang, Xiaoshan1,2,3; Gao, Junyun1,2,3; Xu, Changsheng1,2,3
发表期刊IEEE TRANSACTIONS ON MULTIMEDIA
ISSN1520-9210
2022
卷号24页码:2273-2286
摘要

Though existing cross-domain action recognition methods successfully improve the performance on videos of one view (e.g., egocentric videos) by transferring the knowledge from videos of another view (e.g., exocentric videos), they have limitations in generality because the source and target domains need to be fixed aforehand. In this paper, we propose to solve a more practical task of multi-domain action recognition on egocentric-exocentric videos, which aims to learn a single model to recognize test videos from either egocentric perspective or exocentric perspective by transferring knowledge between two domains. Though previous cross-domain methods can also transfer knowledge from one domain to another one by learning view-invariant representations of two video domains, they are not suitable for the multi-domain action recognition task because they always suffer from the problem of losing view-specific visual information. As a solution to the multi-domain action recognition task, we propose to map a video from either egocentric perspective or exocentric perspective to a global feature space (we call it holographic feature space) that shares both view-invariant and view-specific visual knowledge of two views. Specially, we decompose the video feature into view-invariant component and view-specific component, where view-specific component is written into memory networks for saving view-specific visual knowledge. The final holographic feature combines view-invariant feature and view-specific features of two views based on the memory networks. We demonstrate the effectiveness of the proposed method with extensive experimental results on two public datasets. Moreover, the good performances under the semi-supervised setting show the generality of our model.

关键词Videos Feature extraction Visualization Task analysis Computational modeling Target recognition Prototypes Egocentric videos exocentric videos holographic feature multi-domain action recognition
DOI10.1109/TMM.2021.3078882
关键词[WOS]NETWORKS
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2018AAA0100604] ; National Natural Science Foundation of China[61720106006] ; National Natural Science Foundation of China[61721004] ; National Natural Science Foundation of China[62072455] ; National Natural Science Foundation of China[U1836220] ; National Natural Science Foundation of China[U1705262] ; National Natural Science Foundation of China[61872424] ; Key Research Program of Frontier Sciences of CAS[QYZDJ-SSW-JSC039] ; Beijing Natural Science Foundation[L201001]
项目资助者National Key Research and Development Program of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences of CAS ; Beijing Natural Science Foundation
WOS研究方向Computer Science ; Telecommunications
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号WOS:000793839600005
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类多模态智能
国重实验室规划方向分类多模态协同认知
是否有论文关联数据集需要存交
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/49459
专题模式识别国家重点实验室_多媒体计算
通讯作者Xu, Changsheng
作者单位1.Chinese Acad Sci, Inst Automat, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Peng Cheng Lab, Shenzhen 518066, Peoples R China
第一作者单位模式识别国家重点实验室
通讯作者单位模式识别国家重点实验室
推荐引用方式
GB/T 7714
Huang, Yi,Yang, Xiaoshan,Gao, Junyun,et al. Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2022,24:2273-2286.
APA Huang, Yi,Yang, Xiaoshan,Gao, Junyun,&Xu, Changsheng.(2022).Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition.IEEE TRANSACTIONS ON MULTIMEDIA,24,2273-2286.
MLA Huang, Yi,et al."Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition".IEEE TRANSACTIONS ON MULTIMEDIA 24(2022):2273-2286.
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