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» Combining Textual and Visual Features for Image Retrieval
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ICPR
2008
IEEE
15 years 11 months ago
Wavelet-based salient points with scale information for classification
The calculation of local features at points of interest is a vital part of many current image retrieval and object detection systems. The wavelet-based interest point detector by ...
Alexandra Teynor, Hans Burkhardt
RAS
2010
216views more  RAS 2010»
14 years 8 months ago
6D scan registration using depth-interpolated local image features
This paper describes a novel registration approach that is based on a combination of visual and 3D range information. To identify correspondences, local visual features obtained f...
Henrik Andreasson, Achim J. Lilienthal
ICASSP
2007
IEEE
15 years 4 months ago
A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image Retrieval
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Konstantin Shkurko, Xiaojun Qi
PCM
2007
Springer
134views Multimedia» more  PCM 2007»
15 years 4 months ago
The Photo News Flusher: A Photo-News Clustering Browser
We propose a novel news browsing system that can cluster photo news articles based on both textual features of articles and image features of news photos for a personal news databa...
Tatsuya Iyota, Keiji Yanai
DASFAA
2007
IEEE
297views Database» more  DASFAA 2007»
15 years 4 months ago
OLYBIA: Ontology-Based Automatic Image Annotation System Using Semantic Inference Rules
One of the big issues facing current content-based image retrieval is how to automatically extract the high-level concepts from images. In this paper, we present an efficient syste...
Kyung-Wook Park, Jin-Woo Jeong, Dong-Ho Lee