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CVPR
2011
IEEE
13 years 2 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe
ICIP
2009
IEEE
13 years 9 months ago
Automatic discovery of image families: Global vs. local features
Gathering a large collection of images has been made quite easy by social and image sharing websites, e.g. flickr.com. However, using such collections faces the problem that they ...
Mohamed Aly, Peter Welinder, Mario E. Munich, Piet...
FLAIRS
2008
14 years 1 months ago
Fuzzy Clustering Paradigm and the Shape-Based Image Retrieval
This paper presents a strategy for shape-based image retrieval in which moment invariants form a feature vector to describe the shape of an object. Fuzzy k-means clustering is use...
Nan Xing, Imran Shafiq Ahmad
BIBE
2008
IEEE
109views Bioinformatics» more  BIBE 2008»
14 years 5 months ago
Retrieval and ranking of biomedical images using boosted haar features
— Retrieving similar images from large repository of heterogeneous biomedical images has been a difficult research task. In this paper, we develop a retrieval system that uses H...
Chandan K. Reddy, Fahima A. Bhuyan
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
15 years 15 days ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
CVPR
2006
IEEE
15 years 1 months ago
AnnoSearch: Image Auto-Annotation by Search
Although it has been studied for several years by computer vision and machine learning communities, image annotation is still far from practical. In this paper, we present AnnoSea...
Xin-Jing Wang, Lei Zhang, Feng Jing, Wei-Ying Ma