Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis

Yahong Han; Liqiang Nie; Fei Wu

doi:10.1007/s11042-018-6341-6

Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis

Yahong Han^*
, Liqiang Nie
, Fei Wu

^*Corresponding author for this work

Tianjin University
Shandong University
Zhejiang University

Research output: Contribution to journal › Editorial

Original language	English
Pages (from-to)	29209-29211
Number of pages	3
Journal	Multimedia Tools and Applications
Volume	77
Issue number	22
DOIs	https://doi.org/10.1007/s11042-018-6341-6
State	Published - 1 Nov 2018
Externally published	Yes

Access to Document

10.1007/s11042-018-6341-6

Cite this

@article{335f9595fd6c4f1184d017d3ce9d9325,

title = "Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis",

author = "Yahong Han and Liqiang Nie and Fei Wu",

year = "2018",

month = nov,

day = "1",

doi = "10.1007/s11042-018-6341-6",

language = "英语",

volume = "77",

pages = "29209--29211",

journal = "Multimedia Tools and Applications",

issn = "1380-7501",

publisher = "Springer",

number = "22",

}

TY - JOUR

T1 - Guest Editorial

T2 - Spatio-temporal Feature Learning for Unconstrained Video Analysis

AU - Han, Yahong

AU - Nie, Liqiang

AU - Wu, Fei

PY - 2018/11/1

Y1 - 2018/11/1

UR - https://www.scopus.com/pages/publications/85049696225

U2 - 10.1007/s11042-018-6341-6

DO - 10.1007/s11042-018-6341-6

M3 - 社论

AN - SCOPUS:85049696225

SN - 1380-7501

VL - 77

SP - 29209

EP - 29211

JO - Multimedia Tools and Applications

JF - Multimedia Tools and Applications

IS - 22

ER -

Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis

Access to Document

Other files and links

Cite this