Saliency-based visual representation for compression

Thomas E. Slowe, Ivan Marsic

Research output: Contribution to conferencePaperpeer-review

7 Scopus citations

Abstract

This paper presents a representation for video with application to coding. In recent years, scalability of image compression systems has gained in popularity. Our approach is scalable in the normal sense, but instead of allowing overall image frame quality to degrade with lower bandwidth, salient portions of the image frame maintain high quality while less important portions are allowed to degrade. The judgment of importance is made by a region-of-interest (ROI) finder. The use of prioritized ROI's help to eliminate redundancy and can be organized under a motion compensation ruling.

Original languageEnglish (US)
Pages554-557
Number of pages4
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: Oct 26 1997Oct 29 1997

Conference

ConferenceProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period10/26/9710/29/97

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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