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» An ICA Mixture Hidden Markov Model for Video Content Analysi...
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MM
2003
ACM
161views Multimedia» more  MM 2003»
13 years 9 months ago
Affective content detection using HMMs
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...
Hang-Bong Kang
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
13 years 10 months ago
Two-Layer Generative Models for Sport Video Mining
We present a two-layer generative model for sport video mining that is composed of a two-layer observation model. The first layer is the Gaussian mixture model (GMM) using framew...
Yi Ding, Guoliang Fan, W. Bryan
ICMCS
2006
IEEE
197views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Identify Sports Video Shots with "Happy" or "Sad" Emotions
Semantic video content extraction and selection are critical steps in sports video analysis and editing. The identification of video segments can be from various semantic perspec...
Jinjun Wang, Engsiong Chng, Changsheng Xu, Hanqing...
ISM
2006
IEEE
187views Multimedia» more  ISM 2006»
13 years 10 months ago
Camera View-Based American Football Video Analysis
We present a top-down statistical modeling approach to explore the semantic structure in the American football video. First, a semantic space is defined where the video semantic ...
Yi Ding, Guoliang Fan
ICMI
2007
Springer
215views Biometrics» more  ICMI 2007»
13 years 10 months ago
Visual inference of human emotion and behaviour
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
Shaogang Gong, Caifeng Shan, Tao Xiang