Clustering faces in movies using an automatically constructed social network

Mei Chen Yeh, Wen Po Wu

研究成果: 雜誌貢獻文章

4 引文 斯高帕斯(Scopus)

摘要

Clustering faces in movies is a challenging task because faces in a feature-length film are relatively uncontrolled and vary widely in appearance. Such variations make it difficult to appropriately measure the similarity between faces under significantly different settings. In this article, the authors develop a method that improves face-clustering accuracy by incorporating the social context information inherent among characters in a movie. In particular, they study the relation of social network construction and face clustering and present a fusion scheme that eliminates ambiguities and bridges information from two fields. Experiments on real-world data show superior clustering performance compared with state-of-the-art methods. Furthermore, their method can help incrementally build a character's social network that is similar to a manually labeled example.

原文英語
文章編號6818950
頁(從 - 到)22-31
頁數10
期刊IEEE Multimedia
21
發行號2
DOIs
出版狀態已發佈 - 2014 一月 1

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Media Technology
  • Hardware and Architecture
  • Computer Science Applications

指紋 深入研究「Clustering faces in movies using an automatically constructed social network」主題。共同形成了獨特的指紋。

  • 引用此