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147
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ICPR
2008
IEEE
16 years 4 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
EDBT
2006
ACM
172views Database» more  EDBT 2006»
16 years 3 months ago
Fast Query Point Movement Techniques with Relevance Feedback for Content-Based Image Retrieval
Abstract. Target search in content-based image retrieval (CBIR) systems refers to finding a specific (target) image such as a particular registered logo or a specific historical ph...
Danzhou Liu, Kien A. Hua, Khanh Vu, Ning Yu
99
Voted
MVA
1990
15 years 4 months ago
Descriptive Ability of Drawing Image Understanding Framework Using State Transition Models
It is strongly desired to construct multimedia databases especially of maps or engineering drawings. If these databases are intended to be used really effectively, original drawin...
Shin'ichi Satoh, Masao Sakauchi
135
Voted
JUCS
2010
145views more  JUCS 2010»
15 years 2 months ago
Block-based Against Segmentation-based Texture Image Retrieval
Abstract: This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two a...
Mohammad Faizal Ahmad Fauzi, Paul H. Lewis
157
Voted
JIRS
2010
153views more  JIRS 2010»
14 years 10 months ago
Flyphone: Visual Self-Localisation Using a Mobile Phone as Onboard Image Processor on a Quadrocopter
An unmanned aerial vehicle (UAV) needs to orient itself in its operating environment to fly autonomously. Localisation methods based on visual data are independent of erroneous GPS...
Sara Erhard, Karl Engelbert Wenzel, Andreas Zell