کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11031538 1645970 2018 32 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Artistic movement recognition by consensus of boosted SVM based experts
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Artistic movement recognition by consensus of boosted SVM based experts
چکیده انگلیسی
In this work we aim to automatically recognize the artistic movement from a digitized image of a painting. Our approach uses a new system that resorts to descriptions induced by color structure histograms and by novel topographical features for texture assessment. The topographical descriptors accumulate information from the first and second local derivatives within four layers of finer representations. The classification is performed by two layers of ensembles. The first is an adapted boosted ensemble of support vector machines, which introduces further randomization over feature categories as a regularization. The training of the ensemble yields individual experts by isolating initially misclassified images and by correcting them in further stages of the process. The solution improves the performance by a second layer build upon the consensus of multiple local experts that analyze different parts of the images. The resulting performance compares favorably with classical solutions and manages to match the ones of modern deep learning frameworks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 56, October 2018, Pages 220-233
نویسندگان
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