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» Combining Textual and Visual Features for Image Retrieval
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ICIP
2009
IEEE
15 years 11 months ago
Robust Visual Tracking Based On Simplified Biologically Inspired Features
We address the problem of robust appearance-based visual tracking. First, a set of simplified biologically inspired features (SBIF) is proposed for object representation and the B...
MMM
2005
Springer
159views Multimedia» more  MMM 2005»
15 years 3 months ago
Region-Based Image Retrieval with High-Level Semantic Color Names
Performance of traditional content-based image retrieval systems is far from user’s expectation due to the ‘semantic gap’ between low-level visual features and the richness ...
Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-Ying Ma
IWPC
2010
IEEE
14 years 8 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk
ICIP
2003
IEEE
15 years 3 months ago
Image classification using multimedia knowledge networks
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
Ana B. Benitez, Shih-Fu Chang
SPIESR
2001
141views Database» more  SPIESR 2001»
14 years 11 months ago
Image retrieval based on region shape similarity
This paper presents an image retrieval method based on region shape similarity. In our approach, we first segment images into primitive regions and then combine some of the primit...
Cheng Chang, Wenyin Liu, HongJiang Zhang