Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Giridharan Iyengar"'
Autor:
W. H. Adams, Giridharan Iyengar, Ching-Yung Lin, Milind Ramesh Naphade, Chalapathy Neti, Harriet J. Nock, John R. Smith
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2003, Iss 2, Pp 170-185 (2003)
We present a learning-based approach to the semantic indexing of multimedia content using cues derived from audio, visual, and text features. We approach the problem by developing a set of statistical models for a predefined lexicon. Novel concepts a
Externí odkaz:
https://doaj.org/article/801103276b0d4d7d8afca240b621ab80
Publikováno v:
MAUSAM. 68:699-712
Forecasting of heavy rainfall events is still a challenge even for the most advanced state-of-art high resolution NWP modelling systems. Very often the models fail to accurately predict the track and movement of the low pressure systems leading to la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b993f6049d16baa287b59993b4c9f557
https://doi.org/10.54302/mausam.v68i4.772
https://doi.org/10.54302/mausam.v68i4.772
Autor:
Milind Naphade, Savitha Srinivasan, Ching-Yung Lin, Arnon Amir, John R. Smith, Giridharan Iyengar, Sankar Basu, Belle L. Tseng
Publikováno v:
Computer Vision and Image Understanding. 96:216-236
A framework for event detection is proposed where events, objects, and other semantic concepts are detected from video using trained classifiers. These classifiers are used to automatically annotate video with semantic labels, which in turn are used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56673392f6b57bdfbd6cddd0734f4ea9
https://doi.org/10.1016/j.cviu.2004.02.006
https://doi.org/10.1016/j.cviu.2004.02.006
Publikováno v:
Communications of the ACM. 47:51-56
Commonalities help answer many context-aware questions that arise in human-computer interaction.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13f33921cd606150639c2ca63a7aabce
https://doi.org/10.1145/962081.962105
https://doi.org/10.1145/962081.962105
Publikováno v:
2008 International Conference on Audio, Language and Image Processing.
Computer-assisted recognition of anatomical objects in medical images is at the center of many important clinical applications. Automatic extraction and recognition of human abdominal structures from CT images has been particularly challenging for me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1fd08bcea79bd4b545397ca9c29fed3
https://doi.org/10.1109/icalip.2008.4590199
https://doi.org/10.1109/icalip.2008.4590199
Autor:
Ganesh N. Ramaswamy, M. Kogan, Alexander Faisman, Upendra V. Chaudhari, Giridharan Iyengar, Sarah Conrod, P. Virga, Dimitri Kanevsky
Publikováno v:
ICASSP
Government agencies, corporations, and police departments are plagued by information overload. The inability of fully analyze fragments of data scattered across the organizations reduces productivity, and more and more of these fragments are being ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3333b2596e632672a692cb617addfeb6
https://doi.org/10.1109/icassp.2008.4517977
https://doi.org/10.1109/icassp.2008.4517977
Publikováno v:
ICASSP (1)
Audio segmentation has applications in a variety of contexts, such as audio information retrieval, automatic sound analysis, and as a pre-processing step in speech recognition. Extended Baum-Welch (EBW) transformations are most commonly used as a dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae88f6f787a70b4549e755566ece8e9d
https://doi.org/10.1109/icassp.2007.366653
https://doi.org/10.1109/icassp.2007.366653
Autor:
Leiguang Gong, S. Daijavaa, Hangu Yeo, Hiroshi Inoue, Giridharan Iyengar, F. Savino, Hideaki Komatsu, B. Erickson, Moriyoshi Ohara, V. Sheinin
Publikováno v:
ISBI
Emerging multi-core processors are able to accelerate medical imaging applications by exploiting the parallelism available in their algorithms. We have implemented a mutual-information-based 3D linear registration algorithm on the Cell Broadband Engi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53cb2343dd5345e2ef58f00d0764a484
https://doi.org/10.1109/isbi.2007.356781
https://doi.org/10.1109/isbi.2007.356781
Publikováno v:
ICASSP (2)
In this paper, we propose a maximum entropy based approach for automatic annotation of multimedia content. In our approach, we explicitly model the spatial-location of the low-level features by means of specially designed predicates. In addition, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67311e626613bbdec9890021e0f1cbfa
https://doi.org/10.1109/icassp.2005.1415364
https://doi.org/10.1109/icassp.2005.1415364
Publikováno v:
ICME
Finding faces in visually challenging environments is crucial to many applications, such as audio-visual automatic speech recognition, video indexing, person recognition, and video surveillance. In this study, we investigate several algorithms to imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28da4d636707bbb1ed524d441e42a347
https://doi.org/10.1109/icme.2005.1521612
https://doi.org/10.1109/icme.2005.1521612