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representation model, semantic information building and semantic retrieval techniques. In this paper, we proposed a novel framework for image semantic annotation and retrieval. It employs a semantic network as the semantic representation model, and uses the combination of semantic keywords, linguistic ontology and low-level
Content-based means that the search makes use of the contents of the images themselves, rather than relying on human inputted metadata such as captions or keywords. By content-based techniques, a user can specify contents of interest in a query. The contents may be colors, textures, shapes, or the spatial layout of
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.