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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 ...
Rami Albatal +2 more
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Scene-based automatic image annotation
2014 IEEE International Conference on Image Processing (ICIP), 2014Image search and retrieval systems depend heavily on availability of descriptive textual annotations with images, to match them with textual queries of users. In most cases, such systems have to rely on users to provide tags or keywords with images. Users may add insufficient or noisy tags. A system to automatically generate descriptive tags for images
Amara Tariq, Hassan Foroosh
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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
Jian Yao 0003 +4 more
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Automatic Image Annotations by Mining Web Image Data
2009 IEEE International Conference on Data Mining Workshops, 2009The exponential growth of Web images has created a compelling need for innovative methods to retrieve and manage them. Automatic image annotation is an effective way for resolving this problem. In this paper, we propose a novel system that automatically annotates images by semantic corpus which is constructed by mining Web image data. It includes three
Guiguang Ding +3 more
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Capillaroscopy Image Analysis as an Automatic Image Annotation Problem
6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07), 2007Image auto-annotation methods perform the description previously unseen images with a set of words, based on previously shown examples. This is a relatively new paradigm in image processing research domain. Capillaroscopy is a branch of medicine focusing on analysis of vascular changes.
Halina Kwasnicka +2 more
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A hybrid hierarchical framework for automatic image annotation
2014 International Conference on Machine Learning and Cybernetics, 2014Automatic image annotation is a challenging problem in multimedia content analysis and computer vision. In this paper, we propose a hierarchical framework for multi-label image annotation. We first present an image-filtering algorithm to remove most of the irrelevant images for an unlabeled image.
Yuan-Yuan Cai +3 more
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Visual word pairs for automatic image annotation
2009 IEEE International Conference on Multimedia and Expo, 2009The bag-of-visual-words is a popular representation for images that has proven to be quite effective for automatic annotation. In this paper, we extend this representation in order to include weak geometrical information by using visual word pairs. We show on a standard benchmark dataset that this new image representation improves significantly the ...
Nicolas Hervé, Nozha Boujemaa
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Automatic image annotation and object detection. [PDF]
, 2008 We live in the midst of the information era, during which organising and indexing information more effectively is a matter of essential importance. With the fast development of digital imagery, how to search images - a rich form of information - more efficiently by their content has become one of the biggest challenges.
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Automatic and Semi-Automatic Techniques for Image Annotation
2011When retrieving images, users may find it easier to express the desired semantic content with keywords than visual features. Accurate keyword retrieval can only occur when images are completely and accurately described. This can be achieved either through laborious manual effort or automated approaches.
Biren Shah +3 more
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Review: Automatic Image Annotation for Semantic Image Retrieval
2018Nowadays, the number of digital data sets grows exponentially. Hence, the need to conceive efficient and powerful image indexation and retrieval systems grows as well. Automatic image annotation was adopted by several research as the emerging trend in image retrieval area.
Hasna Abioui +3 more
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