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» Affective content detection using HMMs
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ICMI
2004
Springer
215views Biometrics» more  ICMI 2004»
13 years 11 months ago
Bimodal HCI-related affect recognition
Perhaps the most fundamental application of affective computing would be Human-Computer Interaction (HCI) in which the computer is able to detect and track the user’s affective ...
Zhihong Zeng, Jilin Tu, Ming Liu, Tong Zhang, Nich...
CVIU
2006
162views more  CVIU 2006»
13 years 6 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
KDD
2009
ACM
194views Data Mining» more  KDD 2009»
14 years 6 months ago
Combining link and content for community detection: a discriminative approach
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
PAA
2006
13 years 6 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
ICASSP
2008
IEEE
14 years 14 days ago
Visual-aural attention modeling for talk show video highlight detection
In this paper, we propose a visual-aural attention modeling based video content analysis approach, which can be used to automatically detect the highlights of the popular TV progr...
Yijia Zheng, Guangyu Zhu, Shuqiang Jiang, Qingming...