کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
533581 870138 2010 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Image replica detection system utilizing R-trees and linear discriminant analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Image replica detection system utilizing R-trees and linear discriminant analysis
چکیده انگلیسی

This manuscript introduces a novel system for content-based identification of image replicas. The proposed approach utilizes image resemblance for deciding whether a test image has been replicated from a certain original or not. We formulate replica detection as a classification problem and show that we can optimize efficiency on a per query basis by dynamically solving a reduced multiclass problem. For this purpose, we investigate the effective coupling of multidimensional indexing and machine learning approaches and we aim to achieve replica detection through the training of classifiers with distortions expected in a replica. Visual descriptors are indexed using an R-tree based multidimensional structure for fast image retrieval. Cases unsuccessfully handled by the R-tree are resolved by a multiclass classifier operating on the transformed feature space that results from the application of linear discriminant analysis (LDA) and principal component analysis (PCA). Experimental results show that the proposed system can identify replicas with high accuracy and facilitate a wide range of applications such as copyright protection, content-based monitoring, content-aware multimedia management, etc.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 43, Issue 3, March 2010, Pages 636–649
نویسندگان
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