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» Content-Based Image Retrieval Using Multiple Representations
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BMVC
1998
14 years 11 months ago
A Comparative Study of Rotation Invariant Classification and Retrieval of Texture Images
This paper presents a detailed comparative study of 4 rotation invariant texture analysis methods. Human subjects are included as a benchmark for the computational methods. Experi...
Stephanie R. Fountain, Tieniu Tan, Keith D. Baker
ICIP
1999
IEEE
15 years 11 months ago
Water-Filling: A Novel Way for Image Structural Feature Extraction
The performance of a content based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. In this paper, a new ap...
Xiang Sean Zhou, Yong Rui, Thomas S. Huang
JAIR
2002
101views more  JAIR 2002»
14 years 9 months ago
Structured Knowledge Representation for Image Retrieval
We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of ...
Eugenio Di Sciascio, Francesco M. Donini, Marina M...
MVA
2006
205views Computer Vision» more  MVA 2006»
14 years 9 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
HAIS
2010
Springer
15 years 2 months ago
On the Use of a Hybrid Approach to Contrast Endmember Induction Algorithms
Abstract. In remote sensing hyperspectral image processing, identifying the constituent spectra (endmembers) of the materials in the image is a key procedure for further analysis. ...
Miguel A. Veganzones, Carmen Hernández