Localizing global descriptors for content-based image retrieval
نویسندگان
چکیده
منابع مشابه
Localizing global descriptors for content-based image retrieval
In this paper we explore, extend and simplify the localization of the description ability of the well-established MPEG-7 (SCD, CLD and EHD) and MPEG-7-like (CEDD) global descriptors, which we call the SIMPLE family of descriptors. Sixteen novel descriptors are introduced, that utilize four different sampling strategies for the extraction of image patches to be used as points-of-interest. Design...
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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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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2015
ISSN: 1687-6180
DOI: 10.1186/s13634-015-0262-6