Content-based Image Retrieval Using Rotation-invariant Histograms of Oriented Gradients Jinhui Chen1 , Toru Nakashika1 , Tetsuya Takiguchi2 , Yasuo Ariki2 1 2

Source URL: www.me.cs.scitec.kobe-u.ac.jp

Content-Based Image Retrieval in Digital Libraries

Source URL: www.ieee-tcdl.org

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

Source URL: web.cacs.louisiana.edu

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

Source URL: thomas.deselaers.de

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

Source URL: www.dfki.uni-kl.de

• 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

Features for Image Retrieval: A Quantitative Comparison Thomas Deselaers, Daniel Keysers, and Hermann Ney Lehrstuhl f¨ ur Informatik VI – Computer Science Department, RWTH Aachen University – DAachen, Germany

Source URL: thomas.deselaers.de

• Computer vision
• Artificial intelligence
• Vision
• Feature detection
• Image search
• Image processing
• Computer graphics
• Color histogram
• Content-based image retrieval
• Image retrieval
• Image segmentation
• Histogram

UNIVERSITY OF CALIFORNIA RIVERSIDE Learning Ranking Functions for Video Search on the Web A Dissertation submitted in partial satisfaction

Source URL: rlair.cs.ucr.edu

• Information science
• Information retrieval
• Information retrieval evaluation
• Natural language processing
• Artificial intelligence applications
• Educational psychology
• Relevance feedback
• Educational technology
• Content-based image retrieval
• Relevance
• Ranking

Colour image retrieval based on primitives of colour moments J.-L. Shih and L.-H. Chen Abstract: A colour image retrieval method based on the primitives of colour moments is proposed. First, an image is divided into seve

Source URL: debut.cis.nctu.edu.tw

• Computer vision
• Artificial intelligence
• Vision
• Image search
• Content-based image retrieval
• Color histogram
• Thresholding
• Image segmentation
• Relevance feedback
• Image retrieval
• Information retrieval
• MPEG-7

ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal

Source URL: www.ijmetmr.com

• Computer vision
• Artificial intelligence
• Algebra
• Image search
• Artificial intelligence applications
• Natural language processing
• Signal processing
• Content-based image retrieval
• Image retrieval
• Singular value decomposition
• Image fusion
• Automatic image annotation

OntoImage 2006 Workshop on Language Resources for Content-based Image Retrieval during LREC 2006 Final Programme Monday 22 May 2006 Magazzini del Cotone Conference Center,

Source URL: www.lrec-conf.org

• Artificial intelligence
• Information science
• Information retrieval
• Image search
• Knowledge engineering
• Knowledge representation
• Technical communication
• Content-based image retrieval
• Image retrieval
• MPEG-7
• Semantic Web
• Concept-based image indexing