Towards an Example-Based Image Compression Architecture for Video-Conferencing.

Abstract

This paper consists of two major parts. First, we present the outline of a simple approach to very-low bandwidth video-conferencing system relying on an example-based hierarchical image compression scheme. In particular, we discuss the use of example images as a model, the number of required examples, faces as a class of semi-rigid objects, a hierarchical model based on decomposition into different time-scales, and the decomposition of face images into patches of interest. In the second part, we present several algorithms for image processing and animation as well as experimental evaluations. Among the original contributions of this paper is an automatic algorithm for pose estimation and normalization. We also review and compare different algorithms for finding the nearest neighbors in a database for a new input as well as a generalized algorithm for blending patches of interest in order to synthesize new images. Finally, we outline the possible integration of several algorithms to illustrate a simple model based video conference system.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1994
Accession Number
ADA290041

Entities

People

  • Sebastian Toelg
  • Tomas Poggio

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Cognitive Science
  • Computational Science
  • Computer Graphics
  • Computer Vision
  • Databases
  • Feature Extraction
  • Frequency Bands
  • Image Compression
  • Image Processing
  • Information Processing
  • Information Science
  • Pattern Recognition
  • Three Dimensional
  • Two Dimensional
  • Video Teleconferencing

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Vision.