@InProceedings{PedrosaTrai:2013:BaBaUs,
author = "Pedrosa, Glauco Vitor and Traina, Agma Juci Machado",
affiliation = "{University of Sao Paulo} and {University of Sao Paulo}",
title = "From Bag-of-Visual-Words to Bag-of-Visual-Phrases using n-Grams",
booktitle = "Proceedings...",
year = "2013",
editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva,
Claudio",
organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "image retrieval, bag-of-features, sift, keypoints, bag-of-words.",
abstract = "The Bag-of-Visual-Words has emerged as an effective modeling
approach to represent local image features. It describes local
image features by assigning them a visual word according to a
visual dictionary. The image representation is given by the
frequency of each visual word in the image, as a similar
representation used in textual documents. In this paper, we
present a novel approach building a high-level description using a
group of words (phrases) for representing an image. We introduce
the use of n-grams for image representation, based on the idea of
{"}Bag-of-Visual-Phrases{"}. In the field of computational
linguistics, an n-gram is a phrase formed by a sequence of
n-consecutive words. As analogy, we represent an image by a
combination of n-consecutive visual words. We made representative
experiments using three public benchmark databases of textures and
nature scenes and two medical databases to demonstrate an area
that can benefit from the proposed technique. Our proposed
Bag-of-Visual-Phrases approach improved up to 44% the retrieval
precision and up to 33% the classification rate compared to the
traditional Bag-of-Visual-Words, being a valuable asset for
content-based image retrieval and image classification.",
conference-location = "Arequipa, Peru",
conference-year = "5-8 Aug. 2013",
doi = "10.1109/SIBGRAPI.2013.49",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2013.49",
language = "en",
ibi = "8JMKD3MGPBW34M/3EEJQQH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3EEJQQH",
targetfile = "PID2854877.pdf",
urlaccessdate = "2024, May 05"
}