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» Optimization of Content-Based Image Retrieval Functions
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VISUAL
2000
Springer
13 years 11 months ago
Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function
Abstract. Often in content-based image retrieval, a single image attribute may not have enough discriminative information for retrieval. On the other hand, when multiple features a...
Irwin King, Zhong Jin, David Yuk-Ming Chan
ACIVS
2008
Springer
14 years 1 months ago
Scene Reconstruction Using MRF Optimization with Image Content Adaptive Energy Functions
Multi-view scene reconstruction from multiple uncalibrated images can be solved by two stages of processing: first, a sparse reconstruction using Structure From Motion (SFM), and ...
Ping Li, Rene Klein Gunnewiek, Peter H. N. de With
ACIVS
2008
Springer
13 years 9 months ago
Efficient and Flexible Cluster-and-Search for CBIR
Content-Based Image Retrieval is a challenging problem both in terms of effectiveness and efficiency. In this paper, we present a flexible cluster-and-search approach that is able ...
Anderson Rocha, Jurandy Almeida, Mario A. Nascimen...
ICIP
2001
IEEE
14 years 9 months ago
Performance prediction for vocabulary-supported image retrieval
The majority of today's content based image retrieval systems rely on low-level image descriptors which limit their capability to support meaningful interactions with the use...
Julia Vogel, Bernt Schiele
ECIR
2011
Springer
12 years 11 months ago
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases
Abstract. Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. More...
Avi Arampatzis, Konstantinos Zagoris, Savvas A. Ch...