Content based image retrieval using category-based indexing
, 2004 Currently, most content based image retrieval (CBIR) systems operate on all images, without sorting images into different types or categories. Different images have different characteristics and thus often require different analysis techniques and query ...
Wardhani, Aster +3 more
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Object extraction as a basic process for content-based image retrieval (CBIR) system
Opto-Electronics Review, 2007 AbstractThis article describes the way in which image is prepared for content-based image retrieval system. Automated image extraction is crucial; especially, if we take into consideration the fact that the feature selection is still a task performed by human domain experts and represents a major stumbling block in the process of creating fully ...
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Discriminative Semantic Subspace Analysis for Relevance Feedback
, 2016 Content-based image retrieval (CBIR) has attracted much attention during the past decades for its potential practical applications to image database management. A variety of relevance feedback (RF) schemes have been designed to bridge the gap between low-
Zhang, Lining +6 more
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Semi-Supervised Image Classification based on a Multi-Feature Image Query Language
The area of Content-Based Image Retrieval (CBIR) deals with a wide range of research disciplines. Being closely related to text retrieval and pattern recognition, the probably most serious issue to be solved is the so-called \semantic gap".
Pein, Raoul Pascal
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A logistic regression approach to content-based mammogram retrieval [PDF]
Content-based image retrieval (CBIR) has been proposed to address the problem of image retrieval from medical image databases. Relevance feedback, explaining the user's query concept, can be used to bridge the semantic gap and improve the performance of ...
Wei, Chia-Hung, Li, Chang-Tsun
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Content Based Retrieval Using Colour And Texture Of Wavelet Based Compressed Images [TA1637. I67 2008 f rb]. [PDF]
, 2008 Permintaan yang tinggi terhadap penggunaan dapatan semula imej telah menggalakkan pembangun aplikasi multimedia untuk mencari cara untuk mengurus dan mencari imej dengan lebih efisien.
Abdul Fatah, Irfan Afif
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Architecture for biodiversity image retrieval using ontology and Content Based Image Retrieval (CBIR) / Arpah Abu [PDF]
, 2013 This research looks into how ontology can be used to pre-classify training set images to improve the efficiency of Content-Based Image Retrieval (CBIR) for Biodiversity.
Abu, Arpah
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Content-based image retrieval system
, 2012 [[abstract]]This paper proposes a Content-Based Images Retrieval (CBIR) system which uses a modified geometric hashing technique to retrieve similar shape images from the image database.
Huang,Chung-Lin;Huang,Dai-Hwa
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Content-Based Image Retrieval (CBIR) in big histological image databases
Medical Technologies JournalBackground: Automatic analysis of Histopathological Images (HIs) demands image processing and Computational Intelligence (CI) techniques. Both Computer-Aided Diagnosis (CAD) and Content-Based Image-Retrieval (CBIR) systems assist diagnosis, disease discovery, and biological decision-making.
Grata, Edwiges G. H. +7 more
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Analysis of craquelure patterns for content-based retrieval
, 2004 The advent of multimedia technology has offered a new dimension in computerised applications. Art-based applications are among those which have and will continue to benefit from this advancement.
Fazly, Abbas, Abas, Fazly
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