Concept Propagation Based on Visual Similarity: Application to Medical Image Annotation
This paper presents an approach for image annotation propagation to images which have no annotations. In some specific domains, the assumption that visual similarity implies (partial) semantic similarity can be made. For instance, in medical imaging, two images of the same anatomic part in a given m...
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| creator | Chevallet, Jean-Pierre Maillot, Nicolas Lim, Joo-Hwee |
| description | This paper presents an approach for image annotation propagation to images which have no annotations. In some specific domains, the assumption that visual similarity implies (partial) semantic similarity can be made. For instance, in medical imaging, two images of the same anatomic part in a given modality have a very similar appearance. In the proposed approach, a conceptual indexing phase extracts concepts from texts; a visual similarity between images is computed and then combined with conceptual text indexing. Annotation propagation driven by prior knowledge on the domain is finally performed. Domain knowledge used is a meta-thesaurus for both indexing and annotations propagation. The proposed approach has been applied on the imageCLEF medical image collection. |
| doi_str_mv | 10.1007/11880592_40 |
| format | Conference Proceeding |
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In some specific domains, the assumption that visual similarity implies (partial) semantic similarity can be made. For instance, in medical imaging, two images of the same anatomic part in a given modality have a very similar appearance. In the proposed approach, a conceptual indexing phase extracts concepts from texts; a visual similarity between images is computed and then combined with conceptual text indexing. Annotation propagation driven by prior knowledge on the domain is finally performed. Domain knowledge used is a meta-thesaurus for both indexing and annotations propagation. The proposed approach has been applied on the imageCLEF medical image collection.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540457801</identifier><identifier>ISBN: 9783540457800</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540462376</identifier><identifier>EISBN: 9783540462378</identifier><identifier>DOI: 10.1007/11880592_40</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Annotation Propagation ; Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Conceptual Indexing ; Exact sciences and technology ; Information systems. Data bases ; Memory organisation. Data processing ; Pattern recognition. Digital image processing. Computational geometry ; Software ; Speech and sound recognition and synthesis. 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In some specific domains, the assumption that visual similarity implies (partial) semantic similarity can be made. For instance, in medical imaging, two images of the same anatomic part in a given modality have a very similar appearance. In the proposed approach, a conceptual indexing phase extracts concepts from texts; a visual similarity between images is computed and then combined with conceptual text indexing. Annotation propagation driven by prior knowledge on the domain is finally performed. Domain knowledge used is a meta-thesaurus for both indexing and annotations propagation. The proposed approach has been applied on the imageCLEF medical image collection.</description><subject>Annotation Propagation</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Conceptual Indexing</subject><subject>Exact sciences and technology</subject><subject>Information systems. Data bases</subject><subject>Memory organisation. Data processing</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Software</subject><subject>Speech and sound recognition and synthesis. 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Data bases</topic><topic>Memory organisation. Data processing</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Software</topic><topic>Speech and sound recognition and synthesis. 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In some specific domains, the assumption that visual similarity implies (partial) semantic similarity can be made. For instance, in medical imaging, two images of the same anatomic part in a given modality have a very similar appearance. In the proposed approach, a conceptual indexing phase extracts concepts from texts; a visual similarity between images is computed and then combined with conceptual text indexing. Annotation propagation driven by prior knowledge on the domain is finally performed. Domain knowledge used is a meta-thesaurus for both indexing and annotations propagation. The proposed approach has been applied on the imageCLEF medical image collection.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11880592_40</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Information Retrieval Technology, 2006, p.514-521 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_19105101 |
| source | Springer Books |
| subjects | Annotation Propagation Applied sciences Artificial intelligence Computer science control theory systems Conceptual Indexing Exact sciences and technology Information systems. Data bases Memory organisation. Data processing Pattern recognition. Digital image processing. Computational geometry Software Speech and sound recognition and synthesis. Linguistics Visual Similarity |
| title | Concept Propagation Based on Visual Similarity: Application to Medical Image Annotation |
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