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MM
2004
ACM
151views Multimedia» more  MM 2004»
9 years 9 months ago
Affinity relation discovery in image database clustering and content-based retrieval
In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
3DIM
2005
IEEE
9 years 9 months ago
Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets
This paper presents a system for fully automatic recognition and reconstruction of 3D objects in image databases. We pose the object recognition problem as one of finding consist...
Matthew Brown, David G. Lowe
ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
9 years 9 months ago
Finding a Semantic Structure Interactively in Image Databases
We present a new approach to organize an image database by finding a semantic structure interactively based on multi-user relevance feedback. By treating user relevance feedbacks...
Manjeet Rege, Ming Dong, Farshad Fotouhi
ICIP
2003
IEEE
10 years 5 months ago
Watermarking with knowledge of image database
The goal of this paper is to study how a-prior knowledge of the image database could be exploited for better watermarking performance. Unlike most formulations, where the encoder ...
S. Roy, E.-C. Chang
ICCV
2007
IEEE
10 years 5 months ago
Interactive Search for Image Categories by Mental Matching
Traditional image retrieval methods require a "query image" to initiate a search for members of an image category. However, when the image database is unstructured, and ...
Marin Ferecatu, Donald Geman
CVPR
2008
IEEE
10 years 5 months ago
Private Content Based Image Retrieval
For content level access, very often database needs the query as a sample image. However, the image may contain private information and hence the user does not wish to reveal the ...
Jagarlamudi Shashank, Palivela Kowshik, Kannan Sri...
CVPR
1996
IEEE
10 years 5 months ago
Combining greyvalue invariants with local constraints for object recognition
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
Cordelia Schmid, Roger Mohr
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