Color and texture descriptors
Top Cited Papers
- 1 June 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems for Video Technology
- Vol. 11 (6) , 703-715
- https://doi.org/10.1109/76.927424
Abstract
This paper presents an overview of color and texture descriptors that have been approved for the Final Committee Draft of the MPEG-7 standard. The color and texture descriptors that are described in this paper have undergone extensive evaluation and development during the past two years. Evaluation criteria include effectiveness of the descriptors in similarity retrieval, as well as extraction, storage, and representation complexities. The color descriptors in the standard include a histogram descriptor that is coded using the Haar transform, a color structure histogram, a dominant color descriptor, and a color layout descriptor. The three texture descriptors include one that characterizes homogeneous texture regions and another that represents the local edge distribution. A compact descriptor that facilitates texture browsing is also defined. Each of the descriptors is explained in detail by their semantics, extraction and usage. The effectiveness is documented by experimental results.Keywords
This publication has 10 references indexed in Scilit:
- Visual program navigation system based on spatial distribution of colorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Peer group image enhancementIEEE Transactions on Image Processing, 2001
- An efficient color representation for image retrievalIEEE Transactions on Image Processing, 2001
- Efficient use of local edge histogram descriptorPublished by Association for Computing Machinery (ACM) ,2000
- Hierarchical rotational invariant similarity measurementforMPEG-7 homogeneous texture descriptorElectronics Letters, 2000
- Rotation-invariant texture classification using a complete space-frequency modelIEEE Transactions on Image Processing, 1999
- Comparing texture feature sets for retrieving core images in petroleum applicationsPublished by SPIE-Intl Soc Optical Eng ,1998
- Matching pursuit: contents featuring for image indexingPublished by SPIE-Intl Soc Optical Eng ,1998
- A texture thesaurus for browsing large aerial photographsJournal of the American Society for Information Science, 1998
- Texture features for browsing and retrieval of image dataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996