Computer graphics classification based on Markov process model and boosting feature selection technique

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2009, Pages 2913-2916

  Sutthiwan, Patchara ^a   Cai, Xiao ^a   Shi, Yun Q ^a   Zhang, Hong ^b  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

^b Armstrong State University   (United States)

Author keywords

Boosting feature selection; Computer graphics classification; Markov process

Indexed keywords

ADAPTIVE BOOSTING; CHROMIUM; COLOR COMPUTER GRAPHICS; COLOR IMAGE PROCESSING; DIGITAL IMAGE STORAGE; IMAGING SYSTEMS; MARKOV PROCESSES; PHOTOGRAPHY; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS;

2D-ARRAYS; BLOCK DCT; BOOSTING FEATURE SELECTION; CLASSIFICATION PERFORMANCE; COLOR SYSTEMS; DIGITAL IMAGE PROCESSING; FEATURE GENERATION; FEATURE VECTORS; IMAGE CONTENT; IMAGE STATISTICS; JPEG IMAGE; MACHINE-LEARNING; MARKOV PROCESS MODEL; NOVEL TECHNIQUES; PHOTOGRAPHIC IMAGE; SECOND ORDER STATISTICS; STATISTICAL DIFFERENCES; THRESHOLDING TECHNIQUES; TRANSITION PROBABILITY MATRIX; VERTICAL DIRECTION;

FEATURE EXTRACTION;

EID: 77951957656     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5413344     Document Type: Conference Paper

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