@InProceedings{AlmeidaJrGuim:2018:CaStHu,
author = "Almeida, Raquel and Jr. , Zenilton K. G. do Pratroc{\'{\i}}nio
and Guimar{\~a}es, Silvio Jamil F.",
affiliation = "{Pontifical Catholic University of Minas Gerais} and {Pontifical
Catholic University of Minas Gerais} and {Pontifical Catholic
University of Minas Gerais}",
title = "Exploring Feature Distribution to Create Mid-level
Representations: A Case Study in Human Action Recognition",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "data representation, mid-level, bag-of-words, human action
recognition.",
abstract = "Data representation is a critical task in many areas of
computational studies, particularly in the case of visual data
representation, in which subtleties can undermine the perception
and interpretation of the visual content. In this study, it is
proposed strategies to exploit visual mid-level representations,
aiming to transform the detailed description extracted directly
from the visual media into a simplified and discriminative
representation. More specifically, the proposed strategies are
delineated in Bag-of-Words mid-level representation model and are
used to aggregate distribution information within partitions and
regions of interest on feature space. Experiments on three
well-known public datasets, namely, KTH, UCF Sports and UCF 11,
demonstrated that feature points spatial distribution information
is useful to create more discriminative representations. All three
proposed representations were published and outperform, in terms
of recognition rate, conventional strategies on BoW model and are,
in many cases, superior or comparable with the state-of-the-art.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
language = "en",
ibi = "8JMKD3MGPAW/3S3HG65",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3S3HG65",
targetfile = "paperID5.pdf",
urlaccessdate = "2024, Apr. 28"
}