<--- Back to Details
First PageDocument Content
Vision / Computer vision / Statistical classification / Content-based image retrieval / Support vector machine / Image retrieval / Color histogram / Information retrieval / Histogram / Statistics / Artificial intelligence / Image search
Date: 2008-01-05 04:55:01
Vision
Computer vision
Statistical classification
Content-based image retrieval
Support vector machine
Image retrieval
Color histogram
Information retrieval
Histogram
Statistics
Artificial intelligence
Image search

ENHANCING CBIR THROUGH FEATURE OPTIMIZATION, COMBINATION AND SELECTION

Add to Reading List

Source URL: www.dcs.gla.ac.uk

Download Document from Source Website

File Size: 1.017,36 KB

Share Document on Facebook

Similar Documents

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

Information science / Artificial intelligence / Information retrieval / Image search / Video hosting / Artificial intelligence applications / Social media / YouTube / Content-based image retrieval / Educational technology / Image retrieval / Tag

Lookapp for Ads – Content-based Advertising by Visual Concept Detection∗ Damian Borth Adrian Ulges

DocID: 1raSb - View Document