Automatic image orientation detection via confidence-based integration of low-level and semantic cues

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 27, Issue 5, 2005, Pages 715-726

  Luo, Jiebo ^a   Boutell, Matthew ^b  

^a EASTMAN KODAK COMPANY   (United States)

^b University of Rochester   (United States)

Author keywords

Bayesian networks; Classification confidence; Image orientation; Low level cues; Probabilistic inference; Semantic cues

Indexed keywords

ALGORITHMS; COMPUTER VISION; EDGE DETECTION; FACE RECOGNITION; FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; STATISTICAL METHODS; VECTORS;

BAYESIAN NETWORKS; CLASSIFICATION CONFIDENCE; IMAGE ORIENTATION; LOW LEVEL CUES; PROBABILISTIC INFERENCE; SEMANTIC CUES; SUPPORT VECTOR MACHINE;

OBJECT RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BIOMIMETICS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DEPTH PERCEPTION; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SEMANTICS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIOMIMETICS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SEMANTICS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPACE PERCEPTION;

EID: 18144427513     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2005.96     Document Type: Article

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