Automatic construction health image library using information retrieval technique

Author(s):  
Neha Sharma
1978 ◽  
Vol 3 (4) ◽  
pp. 25-32 ◽  
Author(s):  
Helene E. Roberts

The modern image library, with its large collections in a multiplicity of formats, requires sophisticated systems of classification, indexing and information retrieval. Alongside the traditional art historical approach to the reproductions it contains, iconographic indexes are being developed which treat art as a language and analyse signs, symbols and meanings. Given the increase in iconographic and iconological research there is a need for the co-ordination and standardisation of indexing techniques at an international level.


1997 ◽  
Vol 33 (2) ◽  
pp. 133-144 ◽  
Author(s):  
Maristella Agosti ◽  
Fabio Crestani ◽  
Massimo Melucci

2021 ◽  
Vol 40 (6) ◽  
pp. 11-17
Author(s):  
Valentina Hernandez-Lopez ◽  
Nestor Dario Duque-Mendez ◽  
Mauricio Orozco-Alzate

Author(s):  
Antonio Picariello

Information retrieval can take great advantages and improvements considering users’ feedbacks. Therefore, the user dimension is a relevant component that must be taken into account while planning and implementing real information retrieval systems. In this chapter, we first describe several concepts related to relevance feedback methods, and then propose a novel information retrieval technique which uses the relevance feedback concepts in order to improve accuracy in an ontology-based system. In particular, we combine the Semantic information from a general knowledge base with statistical information using relevance feedback. Several experiments and results are presented using a test set constituted of Web pages.


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