Document Type
Conference Paper
Publication Date
10-2015
Publication Source
Proceedings of the 23rd ACM international conference on Multimedia
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
Copyright
Copyright © 2015, Association for Computing Machinery
Publisher
Association for Computing Machinery
Place of Publication
Brisbane, Australia
eCommons Citation
Wang, Kang; Nguyen, Tam; Feng, Jiashi; and Sepulveda, Jose, "Sense Beyond Expressions: Cuteness" (2015). Computer Science Faculty Publications. 71.
https://ecommons.udayton.edu/cps_fac_pub/71
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.