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» Articulatory features for robust visual speech recognition
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ICASSP
2011
IEEE
14 years 1 months ago
Robust speaker identification using a CASA front-end
Speaker recognition remains a challenging task under noisy conditions. Inspired by auditory perception, computational auditory scene analysis (CASA) typically segregates speech by...
Xiaojia Zhao, Yang Shao, DeLiang Wang
SIBGRAPI
2009
IEEE
15 years 4 months ago
Nude Detection in Video Using Bag-of-Visual-Features
Abstract—The ability to filter improper content from multimedia sources based on visual content has important applications, since text-based filters are clearly insufficient a...
Ana Paula Brandão Lopes, Sandra E. F. de Av...
148
Voted
CIVR
2007
Springer
254views Image Analysis» more  CIVR 2007»
15 years 1 months ago
Soccer players identification based on visual local features
Semantic detection and recognition of objects and events contained in a video stream has to be performed in order to provide content-based annotation and retrieval of videos. This...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
99
Voted
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
15 years 2 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
NOLISP
2005
Springer
15 years 2 months ago
Exploiting High-Level Information Provided by ALISP in Speaker Recognition
The best performing systems in the area of automatic speaker recognition have focused on using short-term, low-level acoustic information, such as sepstral features. Recently, vari...
Asmaa El Hannani, Dijana Petrovska-Delacrét...