Recognition in wavelet-compressed imagery

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we analyze a method for classifying images which have been compressed using a biorthogonal wavelet transformation. The goal is to formulate a pattern recognition algorithm over a wavelet-compressed image set without requiring that the image set be decompressed. This paper extends previous work [8] which studies how to recognize objects in images compressed using orthogonal transforms, as in the JPEG/MPEG compression standards.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 1998 - 3rd Asian Conference on Computer Vision, Proceedings
EditorsRoland Chin, Ting-Chuen Pong
Pages362-369
Number of pages8
DOIs
StatePublished - 1997
Event3rd Asian Conference on Computer Vision, ACCV 1998 - Hong Kong, China
Duration: Jan 8 1998Jan 10 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1351
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd Asian Conference on Computer Vision, ACCV 1998
Country/TerritoryChina
CityHong Kong
Period1/8/981/10/98

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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