Towards more Efficient for Web Image Search Engine using Dominant Meaning Technique
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : Yasser Ibrahim, Mohammed Abdel Razek, Kamal A. ElDahshan|
|DOI : 10.14445/22312803/IJCTT-V54P114|
Yasser Ibrahim, Mohammed Abdel Razek, Kamal A. ElDahshan "Towards more Efficient for Web Image Search Engine using Dominant Meaning Technique ". International Journal of Computer Trends and Technology (IJCTT) V54(2):91-96, December 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
A huge type of media Online is creating big challenges for researcher to retrieve a right media for a wright query. This paper describes a suggested formwork to improve retrieving images from aWeb search engine using a dominant meaning method. The dominant meaning is a set of keywords that best fit an intended meaning of a target query. This technique sees the target meaning as a master word and the words that clarify it as slaves. The hypnosis of this research is the more accurate the slaves, the more accurate the retrieving results. The proposed re-ranking algorithm is built based on the dominant meaning. The contribution of the research is located on the construction of the query and then the filtering of incoming results from theWeb search. The research proposes a calculation method of the rank values forWeb search engine results. The proposed procedures starting with constructing a considerable query from its slaves, sending a query to Our Custom Search Image Engine (as Web Image Search Engine), Retrieve images, retrieving each images document, extracting dominant meaning words from each document included image, calculating rank values of each document based on dominant meaning probability for each document, re-sorting retrieved images based on the ranking value, and then posting sorted images to a user.
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Image Retrieval, Web Search Engine, Dominant Meaning Technique.