@InProceedings{FabianPireRoch:2012:SePeTh,
author = "Fabian, Junior and Pires, Ramon and Rocha, Anderson",
affiliation = "{University of Campinas (Unicamp) } and {University of Campinas
(Unicamp) } and {University of Campinas (Unicamp)}",
title = "Searching for People through Textual and Visual Attributes",
booktitle = "Proceedings...",
year = "2012",
editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno,
Roberto and Silva, Luciano",
organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Face Search, Rank Fusion, Visual Dictionaries.",
abstract = "Searching for people through their personal traits has been
largely required for several areas and, consequently, has become
the center of attention in the scientific community. Locating a
suspect or finding missing people in a public space are some of
the practical applications which take advantage of research
conducted in this topic. In this paper, we propose the use of
describable visual attributes (e.g, male, wear glasses, has
beard), as labels that can be assigned to an image to describe its
appearance. The approach is based on visual dictionaries to
generate an intermediate representation for the face images. We
train binary classifiers for the attributes which give to each
image a score used to obtain its ranking. However, there are some
attributes that have no immediate antagonistic (e.g., asian
people). Then, we evaluate unary classifiers for such attributes.
The method is easily extensible to new attributes. For queries
consisting of more than one attribute, we use two approaches of
the state-of-the-art to combine the rankings: product of
probabilities and rank aggregation. Experimental results show that
incorporating visual dictionaries improves the accuracy for some
attributes. Furthermore, for many attributes, rank aggregation
achieves better results than traditional methods of rank fusion.
The proposed solution might be of interest in a forensic scenario
for searching suspects in a database by means of textual
descriptions provided by a victim.",
conference-location = "Ouro Preto, MG, Brazil",
conference-year = "22-25 Aug. 2012",
doi = "10.1109/SIBGRAPI.2012.45",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.45",
language = "en",
ibi = "8JMKD3MGPBW34M/3CF2Q5B",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3CF2Q5B",
targetfile = "Searching for People through Textual and Visual Attributes.pdf",
urlaccessdate = "2024, May 02"
}