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Exploiting ontologies for automatic image annotation
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, 2005Automatic image annotation is the task of automatically assigning words to an image that describe the content of the image. Machine learning approaches have been explored to model the association between words and images from an annotated set of images and generate annotations for a test image.
Dan Moldovan +3 more
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A review on automatic image annotation techniques
Pattern Recognition, 2012Nowadays, more and more images are available. However, to find a required image for an ordinary user is a challenging task. Large amount of researches on image retrieval have been carried out in the past two decades. Traditionally, research in this area focuses on content based image retrieval.
Md. Monirul Islam +2 more
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Automatic medical image annotation and retrieval
Neurocomputing, 2008The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method for a special medical image retrieval problem where the images in the retrieval database can be annotated into one of the pre-defined labels. Even more, a user may query the database with an
Zhongfei Zhang +4 more
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Automatic Image Annotation Using GHSOM
2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC), 2009Due to the improvement of digital image technology and increasing amount of digital image data, the issue of automatic image annotation technology and applications becomes more and more important. In order to retrieval image efficiently, it is important to extract and represent the semantics of images.
Chih-Hsiang Chuang +2 more
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A semantic approach for automatic image annotation
2013 8th International Conference on Intelligent Systems: Theories and Applications (SITA), 2013Many features extraction method and classifiers are used singly, with modest results, for automatic image annotation. In order to improve the semantic image annotation accuracy, this document provides an automatic system to annotate image content by using a fusion of 3 classifier and a combination of some features extraction methods; multiclass support
Brahim Minaoui +2 more
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Hierarchical classification for automatic image annotation
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007In this paper, a hierarchical classification framework has been proposed for bridging the semantic gap effectively and achieving multi-level image annotation automatically. First, the semantic gap between the low-level computable visual features and users' real information needs is partitioned into four smaller gaps, and multiple approachesallare ...
Hangzai Luo, Yuli Gao, Jianping Fan
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Neural ranking for automatic image annotation
Multimedia Tools and Applications, 2018Automatic image annotation aims to predict labels for images according to their semantic contents and has become a research focus in computer vision, as it helps people to edit, retrieve and understand large image collections. In the last decades, researchers have proposed many approaches to solve this task and achieved remarkable performance on ...
Hua Hu, Haiyang Hu, Weifeng Zhang
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Visual Phrases for automatic images annotation
2010 International Workshop on Content Based Multimedia Indexing (CBMI), 2010Visual characteristics of objects of a class vary with the considered instance and the shooting conditions. In this paper we proposed a visual characterization of object parts, called "Visual Phrase", robust to these variations. A Visual Phrase is a set of regions of interest built according to predefined criteria; a topological criterion was studied ...
Yves Chiaramella +2 more
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Linear regression for Automatic Image Annotation [PDF]
2014 9th International Conference on Computer Science & Education, 2014 Automatic image annotation is an effective technology to enhance the performance of image retrieval. In order to annotate image accurately, we introduce a novel annotation method based on regression models. Firstly, with different independent views, both the visual and the textual modalities are efficiently represented in a continuous vector space form,
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A System for Image Processing to Automatic Annotation
2010 Fifth International Multi-conference on Computing in the Global Information Technology, 2010This paper presents a system for image automatic annotation considering the information extracted from the image through the segmentation and the boundary detection process. Using a domain ontology, we add semantic information to regions from the images which belong of to the domain.
Dumitru Dan Burdescu +4 more
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