Exploring access to scientific literature using content-based image retrieval

2007 ◽  
Author(s):  
Thomas M. Deserno ◽  
Sameer Antani ◽  
Rodney Long
Keyword(s):  
Image Retrieval ◽  
Scientific Literature ◽  
Content Based Image Retrieval

Content-based Image Retrieval for Scientific Literature Access

2009 ◽  
Vol 48 (04) ◽  
pp. 371-380 ◽  
Author(s):  
S. Antani ◽  
Rodney Long ◽  
T. M. Deserno
Keyword(s):  
Image Retrieval ◽  
Quantitative Estimate ◽  
Literature Search ◽  
Medical Literature ◽  
Scientific Literature ◽  
High Impact ◽  
Content Based Image Retrieval ◽  
Medical Applications ◽  
Cross Language ◽  
Search And Retrieval

Summary Objectives: An increasing number of articles are published electronically in the scientific literature, but access is limited to alphanumerical search on title, author, or abstract, and may disregard numerous figures. In this paper, we estimate the benefits of using content-based image retrieval (CBIR) on article figures to augment traditional access to articles. Methods: We selected four high-impact journals from the Journal Citations Report (JCR) 2005. Figures were automatically extracted from the PDF article files, and manually classified on their content and number of sub-figure panels. We make a quantitative estimate by projecting from data from the Cross-Language Evaluation Forum (Image-CLEF) campaigns, and qualitatively validate it through experiments using the Image Retrieval in Medical Applications (IRMA) project. Results: Based on 2077 articles with 11,753 pages, 4493 figures, and 11,238 individual images, the predicted accuracy for article retrieval may reach 97.08%. Conclusions: Therefore, CBIR potentially has a high impact in medical literature search and retrieval.

FIXED CONTENT BASED IMAGE RETRIEVAL TECHNIQUE

2017 ◽  
Vol 5 (3) ◽  
pp. 54
Author(s):  
MOHAMMED ILIAS SHAIK ◽  
CHAUHAN DINESH ◽  
ESAPALLI SRINIVAS ◽  
PADIGE VINEETH ◽  
◽  
...  
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Retrieval Technique

Content Based Image Retrieval and Clustering: A Brief Survey

2009 ◽  
Vol 2 (3) ◽  
pp. 187-199 ◽  
Author(s):  
Huiyu Zhou ◽  
Abdul Sadka ◽  
Mohammad Swash ◽  
Jawid Azizi ◽  
Abubakar Umar
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval
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