Query Image Synthesis using Features Extracted from Keywords for Web Image Retrieval
نویسندگان
چکیده
منابع مشابه
A Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
متن کاملA Novel Method for Content Base Image Retrieval Using Combination of Local and Global Features
Content-based image retrieval (CBIR) has been an active research topic in the last decade. In this paper we proposed an image retrieval method using global and local features. Firstly, for local features extraction, SURF algorithm produces a set of interest points for each image and a set of 64-dimensional descriptors for each interest points and then to use Bag of Visual Words model, a cluster...
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Context based image retrieval is useful to effectively retrieve images based on its context from the massive collection available on the web. Content based image retrieval system is effective only to recognize and retrieve specific objects. It fails when the image has multiple objects and the objects are cluttered. In this work an algorithm has been proposed which facilitates the search based o...
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ژورنال
عنوان ژورنال: The Journal of The Institute of Image Information and Television Engineers
سال: 2010
ISSN: 1881-6908,1342-6907
DOI: 10.3169/itej.64.1628