An ICA mixture hidden markov model for video content analysis

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 18, Issue 11, 2008, Pages 1576-1586

  Zhou, Jian ^a   Zhang, Xiao Ping ^a  

^a RYERSON UNIVERSITY   (Canada)

Author keywords

Hidden markov model; Independent component analysis (ICA) mixture model; Sequential data analysis; Video content analysis

Indexed keywords

BLIND SOURCE SEPARATION; BLOCK CODES; GAUSSIAN NOISE (ELECTRONIC); HEMODYNAMICS; HIDDEN MARKOV MODELS; INFORMATION RETRIEVAL SYSTEMS; LEARNING SYSTEMS; MARKOV PROCESSES; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; MIXTURES; MODAL ANALYSIS; OBJECT RECOGNITION; PARAMETER ESTIMATION; PHOTOGRAPHY; POWDERS; SENSOR NETWORKS; TREES (MATHEMATICS); TRELLIS CODES; VIDEO RECORDING; VISUAL COMMUNICATION;

CASE STUDIES; COMPUTATIONALLY EFFICIENT; CONTENT ANALYSIS; FEATURE SPACES; FEATURE SUBSPACES; INDEPENDENT COMPONENT ANALYSIS (ICA) MIXTURE MODEL; INDEPENDENT COMPONENTS; MAXIMUM LIKELIHOOD ALGORITHMS; MAXIMUM LIKELIHOOD FUNCTIONS; MIXTURE HIDDEN MARKOV MODELS; MIXTURE MODELS; MODEL PARAMETERS; NON-GAUSSIAN; OBSERVATION MODELS; OTHER APPLICATIONS; RECURRENT EVENTS; SEQUENTIAL DATA ANALYSES; SEQUENTIAL DATA ANALYSIS; TRAINING SEQUENCES; VIDEO CONTENT ANALYSIS; VIDEO CONTENTS; VIDEO DATUMS; VIDEO EVENTS; VIDEO FRAMES; VIDEO SEQUENCES;

INDEPENDENT COMPONENT ANALYSIS;

EID: 55149095913     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2008.2005614     Document Type: Article

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