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CVIU
2006
317views more  CVIU 2006»
13 years 5 months ago
A general method for human activity recognition in video
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
LREC
2008
90views Education» more  LREC 2008»
13 years 6 months ago
SCARE: a Situated Corpus with Annotated Referring Expressions
In this paper we report on the release of a corpus of English spontaneous instruction giving situated dialogs. The corpus was collected using the Quake environment, a first-person...
Laura Stoia, Darla Magdalena Shockley, Donna K. By...
ICANN
2001
Springer
13 years 9 months ago
On-Line Error Detection of Annotated Corpus Using Modular Neural Networks
This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
Qing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ic...
ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Speech-Based Visual Concept Learning Using Wordnet
Modeling visual concepts using supervised or unsupervised machine learning approaches are becoming increasing important for video semantic indexing, retrieval, and filtering appli...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
ICMCS
2008
IEEE
173views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Automatic video annotation through search and mining
Conventional approaches to video annotation predominantly focus on supervised identification of a limited set of concepts, while unsupervised annotation with infinite vocabulary...
Emily Moxley, Tao Mei, Xian-Sheng Hua, Wei-Ying Ma...