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» Structural and Semantic Analysis of Video
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ICASSP
2010
IEEE
14 years 7 months ago
Mining actor correlations with hierarchical concurrence parsing
Mining actor correlations from TV series enables semanticlevel video understanding and facilitates users to conduct correlation-based query. In this paper, we introduce a graphbas...
Kun Yuan, Hongxun Yao, Rongrong Ji, Xiaoshuai Sun
CIVR
2008
Springer
152views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Evaluating audio skimming and frame rate acceleration for summarizing BBC rushes
For the first time in 2007, TRECVID considered structured evaluation of automated video summarization, utilizing BBC rushes video. In 2007, we conducted user evaluations with the ...
Michael G. Christel, Wei-Hao Lin, Bryan Maher
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
15 years 10 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 3 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
TRECVID
2008
14 years 11 months ago
Florida International University and University of Miami TRECVID 2008 - High Level Feature Extraction
This paper describes the FIU-UM group TRECVID 2008 high level feature extraction task submission. We have used a correlation based video semantic concept detection system for this...
Guy Ravitz, Lin Lin, Mei-Ling Shyu, Michael Armell...