Recognition of Dynamic Textures
A new issue in texture analysis is its extension to the temporal
domain, a field known as Dynamic Texture analysis. Dynamic, or
temporal, texture is a spatially repetitive, time-varying
visual pattern that forms an image sequence with a certain temporal
stationarity. In Dynamic Texture, the notion of self-similarity central
to conventional image textures is extended to the spatiotemporal domain.
Dynamic textures are typically result from processes such as of waves,
smoke, fire, a flag blowing in the wind, a moving escalator, or a
walking crowd. Many real-world textures occurring in video databases are dynamic
and retrieval should be based on both their dynamic and static features. Important tasks are thus the detection, segmentation and perceptual characterization of dynamic
The ultimate goal is to be able to support
video queries based on the recognition of the actual natural and
artificial dynamic texture processes.
The Need for a Reference Database
Dynamic texture research is still young, and until now
no standard databases were available as in static texture analysis (e.g. the Brodatz album).
For dynamic textures, one of the few available sets to date and an
interesting set to mention, is a dataset available at MIT composed of
15 black and white segmented sequences
of about 170x115x120 dimension. However, this collection has a number
of drawbacks: the resolution is quite low (especially temporally); there is
only a single occurrence per class, and not enough classes are
available for practical classification purposes; also, some of the sequences show
undesirable camera motion.
Goal of DynTex
DynTex aims to serve as a reference database for dynamic texture research by providing a large and diverse database of high-quality dynamic textures, that can be used for a wide variety of research and testing purposes.
DynTex is licensed under a Creative
Commons Attribution-NonCommercial-ShareAlike 2.5 License
The database is freely available to the scientific community and is
intended for non-commercial use only.
To register, please proceed here
the authors and the webpage when using the DynTex
database in your work.