Structured and Collaborative Signal Models: Theory and Applications in Image, Video, and Audio Analysis

Abstract

In this report we describe the core results of this project on the topic of novel structured sparse models and its applications to image, video, and audio processing. As reflected in the publications list, we have accomplished all the basic expected results from the original proposal, presenting both new theory and state-of-the-art practical results, including numerous technology transfers.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2013
Accession Number
ADA586672

Entities

People

  • Guillermo Sapiro

Organizations

  • University of Minnesota

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Compressed Sensing
  • Computer Vision
  • Computers
  • Data Fusion
  • Department Of Defense
  • Dimensionality Reduction
  • Earth Sciences
  • Engineering
  • Image Processing
  • Information Theory
  • Inverse Problems
  • Mathematics
  • Signal Processing
  • Students
  • Technology Transfer

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Image Processing and Computer Vision.
  • Systems Analysis and Design