doi:j.patrec

First Page		Document Content
Date: 2016-06-12 17:36:44 Image segmentation Feature detection Computer vision Content-based image retrieval Region growing Speeded up robust features Color histogram Thresholding Outline of object recognition Watershed		doi:j.patrec Add to Reading List Source URL: www.cs.toronto.edu Download Document from Source Website File Size: 3,97 MB Share Document on Facebook

	Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients Jinhui Chen1 , Toru Nakashika1 , Tetsuya Takiguchi2 , Yasuo Ariki2 1 2 DocID: 1uKpw - View Document
	Content-Based Image Retrieval in Digital Libraries DocID: 1udCS - View Document
	1. B. Shah, V. Raghavan, "Space Transformation Based Approach for Effective Content-Based Image Retrieval," In International Symposium on Methodologies for Intelligent Systems, Maebashi City, Japan, OctA. Gumma DocID: 1sTlE - View Document
	Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems Thomas Deselaers, Daniel Keysers, and Hermann Ney Lehrstuhl f¨ur Informatik VI – Computer Science Department RWTH Aachen U DocID: 1rWEf - View Document
	Lookapp for Ads – Content-based Advertising by Visual Concept Detection∗ Damian Borth Adrian Ulges DocID: 1raSb - View Document