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AAAI
2008
9 years 1 months ago
Unsupervised Categorization (Filtering) of Google Images Based on Visual Consistency
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Pooyan Fazli, Ara Bedrosian
ECCV
2004
Springer
10 years 1 months ago
A Visual Category Filter for Google Images
We extend the constellation model to include heterogeneous parts which may represent either the appearance or the geometry of a region of the object. The parts and their spatial co...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICASSP
2011
IEEE
8 years 3 months ago
Learning a discriminative visual codebook using homonym scheme
This paper studies a method for learning a discriminative visual codebook for various computer vision tasks such as image categorization and object recognition. The performance of...
SeungRyul Baek, Chang D. Yoo, Sungrack Yun
COMPSAC
2002
IEEE
9 years 4 months ago
An Effective Content-Based Visual Image Retrieval System
In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and quer...
Xiuqi Li, Shu-Ching Chen, Mei-Ling Shyu, Borko Fur...
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