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SSIAI
2000
IEEE

Lower-Level and Higher-Level Approaches to Content-Based Image Retrieval

8 years 7 months ago
Lower-Level and Higher-Level Approaches to Content-Based Image Retrieval
This paper describes a content-based image retrieval system that employs both higher-level and lower-level vision methodologies separately and in conjunction for the retrieval of images containing large manmade objects. The goal is to use the lower-level analysis module to increase the capability of the higher-level analysis module, for queries where the structure exhibited by the manmade objects is important. Higher-level analysis is performed globally to extract structure by employing the elements of perceptual grouping to extract different shape representations for higher-level feature extraction from primitive image features. The shape representations include “L” junctions, “U” junctions and parallel groups. Lower-level analysis is performed globally by using Gabor filters to extract texture features. A manmade object region of interest extracted by using perceptual grouping is used as a frame for conducting lower-level analysis. Lower-level analysis may be performed wit...
Qasim Iqbal, Jake K. Aggarwal
Added 01 Aug 2010
Updated 01 Aug 2010
Type Conference
Year 2000
Where SSIAI
Authors Qasim Iqbal, Jake K. Aggarwal
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