Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Comparing visual descriptors and automatic rating strategies for video aesthetics prediction
Year:2016
Research Areas
  • Electronic technology and of the communications,
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
Automatic aesthetics prediction of multimedia content is bound to be a powerful tool for artificial intelligence due to the wide range of applications where it could be used. With this paper we contribute to the research in the field of video aesthetics assessment by carrying out a comparative study of (1) the performance of eight families of visual descriptors in accounting for the general aesthetics perception of videos and (2) the suitability of different YouTube metadata for providing successful strategies for automatic annotation of a data set. Regarding the descriptors, some families, tested on their own, have provided significant classification rates (62.3% with only two features), which is increased when the best families are combined (65% accuracy). With respect to the YouTube metadata, we have created strategies for automatic annotation and found out that using the number of likes and dislikes (quality-based metadata) provides successful ways of annotating the corpus, whereas the number of views (quantity) is not useful for deriving a metric related to aesthetics perception.
International
Si
JCR
Si
Title
Signal Processing-Image Communication
ISBN
0923-5965
Impact factor JCR
1,602
Impact info
Volume
47
10.1016/j.image.2016.07.004
Journal number
34
From page
280
To page
288
Month
SEPTIEMBRE
Ranking
Journal Rank in Category 99/257; Quartile in Category Q2
Participants
  • Autor: A. Hernández García (Universidad Carlos III de Madrid, Leganés, Spain)
  • Autor: Fernando Fernandez Martinez (UPM)
  • Autor: F. Díaz de María (Universidad Carlos III de Madrid, Leganés, Spain)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
  • Departamento: Ingeniería Electrónica
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)