Paper
9 February 2006 Perceptually based techniques for semantic image classification and retrieval
Dejan Depalov, Thrasyvoulos Pappas, Dongge Li, Bhavan Gandhi
Author Affiliations +
Proceedings Volume 6057, Human Vision and Electronic Imaging XI; 60570Z (2006) https://doi.org/10.1117/12.660612
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
The accumulation of large collections of digital images has created the need for efficient and intelligent schemes for content-based image retrieval. Our goal is to organize the contents semantically, according to meaningful categories. We present a new approach for semantic classification that utilizes a recently proposed color-texture segmentation algorithm (by Chen et al.), which combines knowledge of human perception and signal characteristics to segment natural scenes into perceptually uniform regions. The color and texture features of these regions are used as medium level descriptors, based on which we extract semantic labels, first at the segment and then at the scene level. The segment features consist of spatial texture orientation information and color composition in terms of a limited number of locally adapted dominant colors. The focus of this paper is on region classification. We use a hierarchical vocabulary of segment labels that is consistent with those used in the NIST TRECVID 2003 development set. We test the approach on a database of 9000 segments obtained from 2500 photographs of natural scenes. For training and classification we use the Linear Discriminant Analysis (LDA) technique. We examine the performance of the algorithm (precision and recall rates) when different sets of features (e.g., one or two most dominant colors versus four quantized dominant colors) are used. Our results indicate that the proposed approach offers significant performance improvements over existing approaches.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dejan Depalov, Thrasyvoulos Pappas, Dongge Li, and Bhavan Gandhi "Perceptually based techniques for semantic image classification and retrieval", Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 60570Z (9 February 2006); https://doi.org/10.1117/12.660612
Lens.org Logo
CITATIONS
Cited by 19 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Image classification

Classification systems

Image processing algorithms and systems

Databases

Feature extraction

Image retrieval

RELATED CONTENT

Pet fur color and texture classification
Proceedings of SPIE (January 29 2007)
A lightweight image retrieval system for paintings
Proceedings of SPIE (January 17 2005)

Back to Top