Work

Temporal texture modeling

Year: 2002

Type: conference-paper

Abstract: Temporal textures are textures with motion. Examples include wavy water, rising steam and fire. We model image sequences of temporal textures using the spatio-temporal autoregressive model (STAR). This model expresses each pixel as a linear combination of surrounding pixels lagged both in space and in time. The model provides a base for both recognition and synthesis. We show how the least squares method can accurately estimate model parameters for large, causal neighborhoods with more than 1000 parameters. Synthesis results show that the model can adequately capture the spatial and temporal characteristics of many temporal textures. A 95% recognition rate is achieved for a 135 element database with 15 texture classes.

Source: Proceedings - International Conference on Image Processing

DOI: 10.1109/icip.1996.560871

Authors: M. Szummer, R.W. Picard

Institutions: MIT Media Lab, Massachusetts Institute of Technology

Language: English

Topic: Image Retrieval and Classification Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2127541232

FWCI: 11.15

Cites: 3

Cited by: 314

Related to: 10