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Sense Beyond Expressions: Cuteness
Proceedings of the 23rd ACM international conference on Multimedia
  • Kang Wang, Rensselaer Polytechnic Institute
  • Tam Nguyen, University of Dayton
  • Jiashi Feng, University of California - Berkeley
  • Jose Sepulveda, National University of Singapore
Document Type
Conference Paper
Publication Date
10-1-2015
Abstract

With the development of Internet culture, cute has become a popular concept. Many people are curious about what factors making a person look cute. However, there is rare research to answer this interesting question. In this work, we construct a dataset of personal images with comprehensively annotated cuteness scores and facial attributes to investigate this high-level concept in depth. Based on this dataset, through an automatic attributes mining process, we find several critical attributes determining the cuteness of a person.

We also develop a novel Continuous Latent Support Vector Machine (C-LSVM) method to predict the cuteness score of one person given only his image. Extensive evaluations validate the effectiveness of the proposed method for cuteness prediction.

Inclusive pages
1067-1070
ISBN/ISSN
978-1-4503-3459-4
Document Version
Postprint
Comments

The document available for download is the authors' accepted manuscript, provided in compliance with the publisher's policy on self-archiving. Permission documentation is on file.

Publisher
Association for Computing Machinery
Place of Publication
Brisbane, Australia
Citation Information
Kang Wang, Tam Nguyen, Jiashi Feng and Jose Sepulveda. "Sense Beyond Expressions: Cuteness" Proceedings of the 23rd ACM international conference on Multimedia (2015)
Available at: http://works.bepress.com/tam-nguyen/23/