Results 51 to 60 of about 37,022,143 (186)
Content Based Image Indexing and Retrieval
In this paper, we present the efficient content based image retrieval systems which employ the color, texture and shape information of images to facilitate the retrieval process. For efficient feature extraction, we extract the color, texture and shape feature of images automatically using edge detection which is widely used in signal processing and ...
Avinash N. Bhute, B. B. Meshram
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Content Based Image Retrieval on Satellite Imagery
In this study, a content-based image retrieval system for satellite imagery is proposed. The main purpose of the paper is to find the most relevant images to the query image from a massive satellite imagery database using deep learning methodology. For this purpose, graph convolutional network and hash network are combined for image retrieval tasks ...
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Content Based Image Retrieval [PDF]
The incremented desideratum of content based image retrieval system can be found in a number of different domains such as Data Mining, Edification, Medical Imaging, Malefaction Aversion, climate, Remote Sensing and Management of Globe Resources. Google's image search and photo album implements such as image search, Google's Picasa project applications ...
Dr. Aziz Makandar +2 more
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Metadata for Content-Based Image Retrieval
This paper presents an image retrieval technique that combines content based image retrieval with pre-computed metadata-based image retrieval. The resulting system will have the advantages of both approaches: the speed/efficiency of metadata-based image ...
Adrian Sterca, Daniela Miron
doaj
Co-word mapping of Image Retrieval based on Web of Science-Indexed Papers [PDF]
Background and aim: Given the special status and wide usage of image retrieval in various fields, the present investigation studied on the research trends and significant factors within the field of image retrieval and drawing the co-word map based on ...
Samira Daniali +2 more
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Prosemantic Features for Content-Based Image Retrieval [PDF]
We present here, an image description approach based on prosemantic features. The images are represented by a set of low-level features related to their structure and color distribution. Those descriptions are fed to a battery of image classifiers trained to evaluate the membership of the images with respect to a set of 14 overlapping classes ...
CIOCCA, GIANLUIGI +3 more
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A multiscale approach to texture-based image retrieval
This paper presents research on a robust technique for texture-based image retrieval in multimedia museum collections. The aim is to be able to use a query image patch containing a single texture to retrieve images containing an area with similar texture
Fauzi, Mohammad Faizal Ahmad +2 more
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Introducing Multimedia Information Retrieval to libraries
The paper aims to introduce libraries to the view that operating within the terms of traditional Information Retrieval (IR), only through textual language, is limitative, and that considering broader criteria, as those of Multimedia Information ...
Roberto Raieli
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Content based image retrieval through object features
Digital images are an increasingly important class of data, especially as computers become more usable with greater memory and communication capacities. As the demand for digital images increases, the need to store and retrieve images in an intuitive and
Ramanujam Meenakshi
doaj
From Content-Based Image Retrieval by Shape to Image Annotation
In many areas such as commerce, medical investigations, and others, large collections of digital images are being created. Search operations inside these collections of images are usually based on low-level features of objects contained in an image ...
MOCANU, I.
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