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» Ensemble-index: a new approach to indexing large databases
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CVPR
2008
IEEE
14 years 9 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
VLDB
2004
ACM
186views Database» more  VLDB 2004»
14 years 1 months ago
Indexing Large Human-Motion Databases
Data-driven animation has become the industry standard for computer games and many animated movies and special effects. In particular, motion capture data recorded from live actor...
Eamonn J. Keogh, Themis Palpanas, Victor B. Zordan...
TKDE
2008
378views more  TKDE 2008»
13 years 7 months ago
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by sea...
Xiaoyan Li, Lidan Shou, Gang Chen, Tianlei Hu, Jin...
ECCV
2002
Springer
14 years 9 months ago
Shock-Based Indexing into Large Shape Databases
This paper examines issues arising in applying a previously developed edit-distance shock graph matching technique to indexing into large shape databases. This approach compares th...
Thomas B. Sebastian, Philip N. Klein, Benjamin B. ...
SSDBM
1999
IEEE
124views Database» more  SSDBM 1999»
13 years 12 months ago
An Indexing Scheme for Fast Similarity Search in Large Time Series Databases
We address the problem of similarity search in large time series databases. We introduce a novel indexing algorithm that allows faster retrieval. The index is formed by creating b...
Eamonn J. Keogh, Michael J. Pazzani