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- W132068251 abstract "Abstract. An important problem in image management is image retrieval. When im-ages in a database are not well organized, their efficient retrieval is a problem. In this paper we describe an image retrieval system able to recover a set of images that sat-isfy some searching criteria. The proposal works well even if the objects appearing in the images are occluded or suffer affine transformations as rotations and translations. The proposed system is composed of three modules. The first module performs object training and object recognition using associative memories as classification tool. The second module performs image analysis and image organization in a database. The third module allows for image retrieval. Through several experiments we show the ef-ficiency of the system. 1 Introduction Image retrieval is an important problem nowadays. In the WWW more that 73% of the information is images [8]. Images in this space are, in general, not well or not or-ganized at all. The explosion of image databases and the inefficiency of text-based im-age retrieval have created an urgent need for effective approaches in image database re-trieval. Their search is normally high time-consuming. Many techniques and commercial systems have been proposed in the literature to succeed this task. For sev-eral examples, refer to [1-5, 8-11]. Most of these systems use combinations of image-features such as colour or texture to organize the images as a database of images and then to recover them from it. To the final user of the system, normally these image fea-tures do not have any meaning or are difficult to interpret and use. To avoid this prob-lem, some systems use images as examples to recover other similar images. For a sys-tem to be useful, it is necessary to be designed in accordance to the user’s intuition. A person normally knows nothing about describing features, image processing or image analysis. A user of and image retrieval system would like to input directly to the system queries such as: 1. “System, display the set of images with rivers and threes”, or 2. “System, show me the images with lions and zebras”. The key problem to most computer vision applications comprising image organiza-tion and retrieval is object recognition. Object recognition, in the general case, is still" @default.
- W132068251 created "2016-06-24" @default.
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- W132068251 date "2007-01-01" @default.
- W132068251 modified "2023-09-23" @default.
- W132068251 title "Image Retrieval under Image Transformations and Occlusions" @default.
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