Please use this identifier to cite or link to this item: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1807
Title: High Level Schema for Indexing Person Images for Content Based Image Searching
Authors: Siriwardena, K.A.D.O.V.
Issue Date:  12
Abstract: Image search engines, both commercial and research prototypes, which has content base image retrieval either does not have a mechanism to index im- ages based on their visual content or if they have it's only upto syntactic content and not for semantic content of the image. For person images situa- tion so bad because no search engine is capable of indexing person images by recognising then human face within the image. In this research we are de- veloping a novel schema for indexing person images based on their semantic visual content for content based image searching. Since we only use existing facial recognition algorithms and not developing any new facial recognition algorithms, our indexing schema should have to face the limitations of the existing algorithms.
URI: http://hdl.handle.net/123456789/1807
Appears in Collections:SCS Individual Project - Final Thesis (2012)

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