کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10359584 | 869358 | 2005 | 16 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Unsupervised image categorization
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Unsupervised image categorization Unsupervised image categorization](/preview/png/10359584.png)
چکیده انگلیسی
Large image collections require efficient organization and visualization. This paper describes an approach to establish image categories automatically by unsupervised learning. The method works free of context and previous knowledge: in a first stage, features are formed automatically, then images are clustered to form categories. The human database designer has to decide only whether a category is useful or too inhomogeneous from a high level point of view. To collect images that cannot be categorized automatically, an additional 'miscellaneous' category exists. Categories are visualized by displaying the most typical image(s) of the categories as thumbnails. The main benefit of the approach is that it deals with color and shape in a unified way on a local scale, combined with the advantages of histogram techniques on the global scale. To judge results, an evaluation scheme which is adequate for the task of categorization is proposed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 23, Issue 10, 20 September 2005, Pages 861-876
Journal: Image and Vision Computing - Volume 23, Issue 10, 20 September 2005, Pages 861-876
نویسندگان
Gunther Heidemann,