Temporally consistent Gaussian random field for video semantic analysis

Proceedings - International Conference on Image Processing, ICIP

Volumn 4, Issue , 2007, Pages

  Tang, Jinhui ^a   Hua, Xian Sheng ^b   Mei, Tao ^b   Qi, Guo Jun ^a   Li, Shipeng ^b   Wu, Xiuqing ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Graph based method; Temporal consistency; Video annotation

Indexed keywords

GAUSSIAN DISTRIBUTION; GRAPHIC METHODS; IMAGE PROCESSING; IMAGE RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; SEMANTICS; VIDEO RECORDING;

GAUSSIAN RANDOM FIELDS; GRAPH-BASED METHODS; MACHINE LEARNING COMMUNITIES; SEMI- SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING METHODS; TEMPORAL CONSISTENCY; VIDEO ANNOTATIONS; VIDEO SEMANTIC ANALYSIS;

SUPERVISED LEARNING;

EID: 48149088634     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4380070     Document Type: Conference Paper

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