Sciweavers

507 search results - page 4 / 102
» Textural Features and Relevance Feedback for Image Retrieval
Sort
View
ICMCS
2000
IEEE
170views Multimedia» more  ICMCS 2000»
13 years 10 months ago
Update Relevant Image Weights for Content-Based Image Retrieval using Support Vector Machines
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
Qi Tian, Pengyu Hong, Thomas S. Huang
ICIP
1999
IEEE
14 years 7 months ago
Water-Filling: A Novel Way for Image Structural Feature Extraction
The performance of a content based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. In this paper, a new ap...
Xiang Sean Zhou, Yong Rui, Thomas S. Huang
ICPR
2008
IEEE
14 years 7 months ago
Using an artificial imagination for texture retrieval
Our goal is to determine if artificially imagined or synthesized images can be beneficial to interactive visual search. We present a novel approach for using artificially imagined...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
ICIP
2000
IEEE
14 years 7 months ago
Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval
Content-Based Image Retrieval (CBIR) is one of the most active research areas in recent years. Many visual feature representations have been explored and many systems built. Howev...
Qi Tian, Ying Wu, Thomas S. Huang
SIBGRAPI
2008
IEEE
14 years 6 days ago
A Genetic Programming Approach for Relevance Feedback in Region-Based Image Retrieval Systems
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user p...
Jefersson Alex dos Santos, Cristiano D. Ferreira, ...