High-Resolution Image Retrieval Using Support Vector Machine

Image retrieval search is a method which analyzes the contents of the image rather than the metadata such as keywords, tags, or descriptions associated with the image. Support vector machine have been successfully applied to a broad range of computer vision problems. A classification task usually involves with training and testing data which consist of some data instances. SVM is a useful technique for data classification. The goal of SVM is to produce a model which predicts target value of data instances in the testing set which are given as attributes. This work introduces a high-Resolution image retrieval system using Support Vector Machine.