<--- Back to Details
First PageDocument Content
Content-based image retrieval / Image retrieval / Recommender system / Collaborative filtering / Relevance feedback / Search engine indexing / Relevance / Precision and recall / Anastasios Venetsanopoulos / Information science / Information retrieval / Science
Date: 2004-05-17 02:48:47
Content-based image retrieval
Image retrieval
Recommender system
Collaborative filtering
Relevance feedback
Search engine indexing
Relevance
Precision and recall
Anastasios Venetsanopoulos
Information science
Information retrieval
Science

User-Powered “Content-Free” Approach to Image Retrieval Takeo Kanade and Shingo Uchihashi Robotics Institute and ECE Department Carnegie Mellon University 5000 Forbes Avenue, Pittsburgh, PA USA {tk,shingo}@cs.cmu.edu

Add to Reading List

Source URL: www.kc.tsukuba.ac.jp

Download Document from Source Website

File Size: 1,14 MB

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

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

Content-Based Image Retrieval in Digital Libraries

DocID: 1udCS - View Document

1. B. Shah, V. Raghavan,

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

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

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

DocID: 1raSb - View Document