Title
Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues.
Abstract
Associating faces appearing in Web videos with names presented in the surrounding context is an important task in many applications. However, the problem is not well investigated particularly under large-scale realistic scenario, mainly due to the scarcity of dataset constructed in such circumstance. In this paper, we introduce a Web video dataset of celebrities, named WebV-Cele, for name-face association. The dataset consists of 75 073 Internet videos of over 4 000 hours, covering 2 427 celebrities and 649 001 faces. This is, to our knowledge, the most comprehensive dataset for this problem. We describe the details of dataset construction, discuss several interesting findings by analyzing this dataset like celebrity community discovery, and provide experimental results of name-face association using five existing techniques. We also outline important and challenging research problems that could be investigated in the future.
Year
DOI
Venue
2014
10.1007/s11390-014-1468-z
J. Comput. Sci. Technol.
Keywords
Field
DocType
Web video, celebrity, name-face association, dataset construction, community analysis
Data science,World Wide Web,Scarcity,Computer science,Baseline (configuration management),Community analysis,The Internet
Journal
Volume
Issue
ISSN
29
5
1860-4749
Citations 
PageRank 
References 
13
0.53
32
Authors
5
Name
Order
Citations
PageRank
Zhineng Chen119225.29
C. W. Ngo24271211.46
Wei Zhang317320.52
Juan Cao435530.20
Yu-Gang Jiang53071152.58