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» Textural Features and Relevance Feedback for Image Retrieval
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ECML
2004
Springer
15 years 5 months ago
Exploiting Unlabeled Data in Content-Based Image Retrieval
Abstract. In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image ret...
Zhi-Hua Zhou, Ke-Jia Chen, Yuan Jiang
JUCS
2010
145views more  JUCS 2010»
14 years 10 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
CAIP
2007
Springer
194views Image Analysis» more  CAIP 2007»
15 years 3 months ago
A New Wavelet-Based Texture Descriptor for Image Retrieval
This paper presents a novel texture descriptor based on the wavelet transform. First, we will consider vertical and horizontal coefficients at the same position as the components o...
Esther de Ves, Ana M. C. Ruedin, Daniel G. Acevedo...
VISUAL
2005
Springer
15 years 5 months ago
Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...
Alexandra Teynor, Wolfgang Müller, Wolfgang L...
MIR
2005
ACM
137views Multimedia» more  MIR 2005»
15 years 5 months ago
Similarity space projection for web image search and annotation
Web image search has been explored and developed in academic as well as commercial areas for over a decade. To measure the similarity between Web images and user queries, most of ...
Ying Liu, Tao Qin, Tie-Yan Liu, Lei Zhang, Wei-Yin...