Publication Type

Journal Article

Version

publishedVersion

Publication Date

9-2014

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.

Keywords

Web video;celebrity;name-face association;dataset construction;community analysis

Discipline

Data Storage Systems | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

Journal of Computer Science and Technology

Volume

29

Issue

5

First Page

785

Last Page

798

ISSN

1000-9000

Identifier

10.1007/s11390-014-1468-z

Publisher

Springer Verlag (Germany)

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