A stochastic model of selective visual attention with a dynamic Bayesian network

2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings

Volumn , Issue , 2008, Pages 1073-1076

  Pang, Derek ^a,b   Kimura, Akisato ^a   Takeuchi, Tatsuto ^a   Yamato, Junji ^a   Kashino, Kunio ^a  

^a NTT Communication Science Laboratories   (Japan)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Dynamic Bayesian network; Hidden Markov model; Kalman filter; Saliency; Visual attention model

Indexed keywords

CONTROL THEORY; DISTRIBUTED PARAMETER NETWORKS; EXHIBITIONS; HIDDEN MARKOV MODELS; INFERENCE ENGINES; INTELLIGENT NETWORKS; MARKOV PROCESSES; MATHEMATICAL MODELS; NETWORK PROTOCOLS; SENSOR NETWORKS; SIGNAL DETECTION; SIGNAL PROCESSING; SPEECH ANALYSIS; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; VIDEO SIGNAL PROCESSING;

COGNITIVE STATES; DETERMINISTIC MODELS; DYNAMIC BAYESIAN NETWORK; DYNAMIC BAYESIAN NETWORKS; HUMAN RESPONSES; HUMAN VISUAL ATTENTIONS; KALMAN FILTER; SALIENCY; SIGNAL DETECTION THEORIES; VIDEO SCENES; VISUAL ATTENTION MODEL; VISUAL ATTENTIONS; VISUAL DISPLAYS; VISUAL SALIENCIES;

BAYESIAN NETWORKS;

EID: 54049102569     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2008.4607624     Document Type: Conference Paper

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