DocumentCode :
3418531
Title :
Review on statistical approaches for automatic image annotation
Author :
Manaf, Syaifulnizam Abd ; Nordin, Md Jan
Author_Institution :
Malaysian Inst. of Inf. Technol., Univ. Kuala Lumpur, Kuala Lumpur, Malaysia
Volume :
01
fYear :
2009
fDate :
5-7 Aug. 2009
Firstpage :
56
Lastpage :
61
Abstract :
This paper will discuss the literature survey on statistical approaches for automatic annotation on digital images. There are some researches on image annotation and produced very good knowledge theoretically or technically and lead to produce such promising surveys. However, not all produced related knowledge on image annotation and discussing until the latest research on that area. This paper aims to cover the statistical approaches for automatic image annotation from it starts until the latest research finding. Using the earlier literature reviews, approaches, frameworks and evaluation results as guidelines, an attempt is made to outline the automatic image annotation which is combination of image analysis and statistical learning approaches. Summary and analysis of some of the approaches have been used as references to produce a framework in designing an automatic image annotation model.
Keywords :
content-based retrieval; image retrieval; statistical analysis; automatic image annotation; image analysis; research finding; statistical learning approaches; Content based retrieval; Data mining; Feature extraction; Focusing; Image analysis; Image retrieval; Informatics; Information science; Information technology; Shape; Automatic image annotation; CBIR; image search; statistical techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Informatics, 2009. ICEEI '09. International Conference on
Conference_Location :
Selangor
Print_ISBN :
978-1-4244-4913-2
Type :
conf
DOI :
10.1109/ICEEI.2009.5254815
Filename :
5254815
Link To Document :
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