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» Optimization of Content-Based Image Retrieval Functions
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VISUAL
2000
Springer
15 years 1 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
15 years 3 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
80
Voted
ACIVS
2008
Springer
14 years 11 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
15 years 11 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
113
Voted
ECIR
2011
Springer
14 years 1 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...