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» Evaluating Image Retrieval
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MTA
2000
165views more  MTA 2000»
15 years 4 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
16 years 5 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
ERCIMDL
2006
Springer
155views Education» more  ERCIMDL 2006»
15 years 8 months ago
SIERRA - A Superimposed Application for Enhanced Image Description and Retrieval
In this demo proposal, we describe our prototype application, SIERRA, which combines text-based and content-based image retrieval and allows users to link together image content of...
Uma Murthy, Ricardo da Silva Torres, Edward A. Fox
MSV
2004
15 years 6 months ago
Towards Quality of Service Based Resource Management for Cluster-Based Image Database
The main research in the area of image databases addresses the improvement of retrieval quality and the speedup of the query processing. A number of image retrieval systems reache...
Andreas Brüning, Frank Drews, Martin Hoefer, ...