DocumentCode :
605883
Title :
Image ontology
Author :
Tazi, S.N. ; Dubey, A.K. ; Jain, Vinesh ; Rathi, Rahul
Author_Institution :
Dept. of Comput. Sci. & Inf. Technol., Gov. Eng. Coll., Ajmer, India
fYear :
2013
fDate :
25-26 March 2013
Firstpage :
564
Lastpage :
569
Abstract :
In image ontology we study the human thought about the images and there action (appropriate experiment) to the images. This is the area where the literature is done through the help of Google doc Questioner and online with offline voting system. We create 10 question mostly to the general thought of human about to the image and find out the response from different people (e.g. from an image the human body can think generally, how this image object is captured and segmented as well as situation). This type of thought /idea linked to image is captured through the human research via different manner (i.e., Google doc or viva etc). The output or concluding remark of survey opens the new era of research to image processing. In this article, we have given the standard definition of “image ontology”, we also high light the advantage and limitation of IO regarding their future scope. For presenting of survey result we use the graphical representation and tabulated marking. The concluding remark of paper is focus to new era of inventory. Finally we gave the future scope of them.
Keywords :
image segmentation; ontologies (artificial intelligence); IO; graphical representation; image object capturing; image object segmentation; image ontology; image processing; tabulated marking; Art; Computer science; Google; Image processing; Ontologies; Real-time systems; Semantics; IO; TMA; human view; image gap; images; theoretical computer science;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN), 2013 International Conference on
Conference_Location :
Tirunelveli
Print_ISBN :
978-1-4673-5037-2
Type :
conf
DOI :
10.1109/ICE-CCN.2013.6528563
Filename :
6528563
Link To Document :
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