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and completeness through sense disambiguation and contextual meta-data prepossessing. Our schemes exploits a linguistic ontology identifying query relevant homographs used to construct sense specific keyword sets allowing for enhanced image search and result ranking via the calculation of relatedness between query
ontology but it take into consideration the semantic meaning of each keyword that expected to upgrade the retrieval accuracy. Query results with an image based search sorted by the method of ranking to access more accurate results. We present a detailed architecture and design for implementation of search engine. Here the
Nowadays semantic image annotation is becoming more than ever a very challenging issue since it helps improving image interpretation and retrieval. Currently, most semantic annotation methods represent images as lists of keywords or histogram of visual words, and do not consider the spatial distribution of regions
Recently, Folksonomy attracts attentions as a new method to index large-scale image databases. In the Folksonomy-style image databases, they allows users to attach keywords to images as “tags”. Since tag words are uncontrolled, they have various and many kinds of tags associated with images. This is much
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.