Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient use of local edge histogram descriptor
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
Image compression with variable block size segmentation
IEEE Transactions on Signal Processing
A Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
A parallel analysis on scale invariant feature transform (SIFT) algorithm
APPT'11 Proceedings of the 9th international conference on Advanced parallel processing technologies
Dynamic texture recognition using normal flow and texture regularity
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
| Hi-index | 0.00 |
We present three descriptors of texture feature of a region. Namely, the homogeneous texture descriptor (HTD), the edge histogram descriptor (EHD), and the perceptual browsing descriptor (PBD). They are currently included in the Committee Draft of the MPEG-7 Visual (ISO/IEC 15938-3). Each descriptor has a unique functionality and application domain. HTD and EHD describe statistical distribution of the texture and are useful for image retrieval application, while HTD is for homogeneously textured region and EHD is for multi-textured natural image or sketch. PBD is a compact descriptor suitable for quick browsing application.