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» Boosting Image Retrieval
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VLDB
2000
ACM
121views Database» more  VLDB 2000»
15 years 8 months ago
Optimizing Multi-Feature Queries for Image Databases
In digital libraries image retrieval queries can be based on the similarity of objects, using several feature attributes like shape, texture, color or text. Such multi-feature que...
Ulrich Güntzer, Wolf-Tilo Balke, Werner Kie&s...
ICIAP
2003
ACM
16 years 4 months ago
Perceptive visual texture classification and retrieval
In this paper we present some analysis techniques and indexing strategies aimed to support classification and retrieval of textures using only perceptual features. The goal of thi...
Sebastiano Battiato, Giovanni Gallo, Salvatore Nic...
ICIAR
2007
Springer
15 years 8 months ago
Object-Based Surveillance Video Retrieval System with Real-Time Indexing Methodology
This paper presents a novel surveillance video indexing and retrieval system based on object features similarity measurement. The system firstly extracts moving objects from the vi...
Jacky S-C. Yuk, Kwan-Yee Kenneth Wong, Ronald H. Y...
JIIS
2002
130views more  JIIS 2002»
15 years 4 months ago
Image Mining: Trends and Developments
Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful informa...
Wynne Hsu, Mong-Li Lee, Ji Zhang
ICIP
2003
IEEE
16 years 6 months ago
Annotating retrieval database with active learning
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
Cha Zhang, Tsuhan Chen