Image retrieval using Markov random fields and global image features

CIVR 2010 - 2010 ACM International Conference on Image and Video Retrieval

Volumn , Issue , 2010, Pages 243-250

  Llorente, Ainhoa ^a   Manmatha, R ^b   Rüger, Stefan ^a  

^a OPEN UNIVERSITY   (United Kingdom)

^b Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

Markov processes; Nonparametric statistics

Indexed keywords

DATA SETS; DENSITY ESTIMATION; IMAGE FEATURES; IMAGECLEF; LANGUAGE MODEL; LOW-LEVEL FEATURES; MARKOV RANDOM FIELD; MARKOV RANDOM FIELDS; NON-PARAMETRIC STATISTICS; NONPARAMETRIC DENSITY ESTIMATION; RETRIEVAL FRAMEWORKS; SEMANTIC CONTEXT; SEMANTIC RELATIONSHIPS; VISUAL FEATURE;

COMPUTATIONAL LINGUISTICS; MARKOV PROCESSES; SEMANTICS; STRUCTURAL FRAMES;

IMAGE RETRIEVAL;

EID: 77955908471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1816041.1816078     Document Type: Conference Paper

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