TY - GEN
T1 - A model-based approach to semantic-based retrieval of visual information
AU - Golshani, Forouzan
AU - Park, Youngchoon
AU - Panchanathan, Sethuraman
PY - 2002
Y1 - 2002
N2 - Visual context descriptor (VCD) is a new image representation scheme for visual content classification. It consists of a multidimensional vector in which each element represents the frequency of a unique visual property of an image or a region thereof. VCD utilizes the predetermined quality dimensions, such as types of features and quantization level, along with predetermined semantic model templates. The observed visual cues and the contextually relevant visual features are proportionally incorporated in VCD. Contextual relevance of a visual cue to a semantic class is determined by using correlation analysis of ground truth samples. Such co-occurrence analysis of visual cues requires transformation of a real-valued visual feature vector, say a color histogram or a Gabor texture, into a discrete event, e. g., terms in the text domain.
AB - Visual context descriptor (VCD) is a new image representation scheme for visual content classification. It consists of a multidimensional vector in which each element represents the frequency of a unique visual property of an image or a region thereof. VCD utilizes the predetermined quality dimensions, such as types of features and quantization level, along with predetermined semantic model templates. The observed visual cues and the contextually relevant visual features are proportionally incorporated in VCD. Contextual relevance of a visual cue to a semantic class is determined by using correlation analysis of ground truth samples. Such co-occurrence analysis of visual cues requires transformation of a real-valued visual feature vector, say a color histogram or a Gabor texture, into a discrete event, e. g., terms in the text domain.
KW - Contextual image matching
KW - Ontology-based image retrieval
KW - Semantic image classification
KW - Visual cue co-occurrence
UR - http://www.scopus.com/inward/record.url?scp=84886431406&partnerID=8YFLogxK
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U2 - 10.1007/3-540-36137-5_9
DO - 10.1007/3-540-36137-5_9
M3 - Conference contribution
AN - SCOPUS:84886431406
SN - 354000145X
SN - 9783540001454
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 149
EP - 167
BT - SOFSEM 2002
PB - Springer Verlag
T2 - 29th Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2002
Y2 - 22 November 2002 through 29 November 2002
ER -