Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Yoshihiko Gotoh"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
This paper addresses the problem of spoken document retrieval under noisy conditions by incorporating sound selection of a basic unit and an output form of a speech recognition system. Syllable fragment is combined with a confusion network in a spoke
Externí odkaz:
https://doaj.org/article/aa3c74ede3b84249a4e98930a671f06b
Autor:
Manal Al Ghamdi, Yoshihiko Gotoh
Publikováno v:
Machine Vision and Applications. 31
Probabilistic topic modelings, such as latent Dirichlet allocation (LDA) and correlated topic models (CTM), have recently emerged as powerful statistical tools for processing video content. They share an important property, i.e., using a common set o
Publikováno v:
Machine Vision and Applications. 28:243-265
This exploratory work is concerned with generation of natural language descriptions that can be used for video retrieval applications. It is a step ahead of keyword-based tagging as it captures relations between keywords associated with videos. First
Publikováno v:
ICASSP
In visual speech animation, lip motion accuracy is of paramount importance for speech intelligibility, especially for the hard of hearing or foreign language learners. We present an approach for visual speech animation that uses tracked lip motion in
Autor:
Yoshihiko Gotoh, Manal Al Ghamdi
Publikováno v:
WACV
This paper presents a graph-based correlated topic model (GCTM) to learn and analyse motion patterns by trajectory clustering in a highly cluttered and crowded environment. Unlike previous works that depend on scenes prior, we extract trajectories an
Autor:
Yoshihiko Gotoh, Nouf Al Harbi
Publikováno v:
Neurocomputing. 161:56-64
There are numerous instances in which, in addition to the direct observation of a human body in motion, the characteristics of related objects can also contribute to the identification of human actions. The aim of the present paper is to address this
Autor:
Yoshihiko Gotoh, Nouf Alharbi
Publikováno v:
INLG
There has been continuous growth in the volume and ubiquity of video material. It has become essential to define video semantics in order to aid the searchability and retrieval of this data. We present a framework that produces textual descriptions o
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319609638
MIUA
MIUA
Medical images contain precious anatomical information for clinical procedures. Improved understanding of medical modality may contribute significantly in arena of medical image analysis. This paper investigates enhancement of monochromatic medical m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::494099aab48346de26eb2952ec794032
https://doi.org/10.1007/978-3-319-60964-5_50
https://doi.org/10.1007/978-3-319-60964-5_50
Autor:
Nouf Alharbi, Yoshihiko Gotoh
Publikováno v:
VL@ACL
There has been continuous growth in the volume and ubiquity of video material. It has become essential to define video semantics in order to aid the searchabil- ity and retrieval of this data. Although the method of annotating this data with keywords
Autor:
BalaKrishna Kolluru, Yoshihiko Gotoh
Publikováno v:
Natural Language Engineering. 15:193-213
Human-generated summaries are a blend of content and style, bound by the task restrictions, but are ‘subject to subjectiveness’ of the individuals summarising the documents. We study the impact of various facets that cause subjectivity such as br