Combined global and local semantic feature–based image retrieval analysis with interactive feedback
نویسندگان
چکیده
منابع مشابه
Interactive Semantic Image Retrieval
The big challenge in current content-based image retrieval systems is to reduce the semantic gap between the low level-features and high-level concepts. In this paper, we have proposed a novel framework for efficient image retrieval to improve the retrieval results significantly as a means to addressing this problem. In our proposed method, we first extracted a strong set of image features by u...
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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...
متن کاملInteractive Visual and Semantic Image Retrieval
One direct consequence of recent advances in digital visual data generation and the direct availability of this information through the World-Wide Web, is a urgent demand for efficient image retrieval systems. The disclosure of the content of these millions of photos available on the internet is of great importance. The objective of image retrieval is to allow users to efficiently browse throug...
متن کاملCombined Content based and Semantic Image Retrieval
i-score (Image Semantic and COntent based REtrieval system) [1] developed at the Information Processing Laboratory combines two open source software libraries, Lire [2] and Lucene [3], with the aim to investigate the impact of images text-description in the quality and the effectiveness of image retrieval. In our runs for the ImagrCLEF2009 track the default Lucene’s text analysis (stopword remo...
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ژورنال
عنوان ژورنال: Measurement and Control
سال: 2019
ISSN: 0020-2940
DOI: 10.1177/0020294018824122