Perception-based image transcoding for universal multimedia access

K. Lee, H. S. Chang, S. S. Chun, H. Choi, S. Sull

Research output: Contribution to conferencePaperpeer-review

15 Citations (Scopus)


In this paper, we propose a novel scheme for generating transcoded (e.g. scaled and cropped) image to fit the size of the respective client display when an image is transmitted to a variety of client devices with different display sizes. The scheme has two key components; i) perceptual hint for each image block, and ii) an image transcoding algorithm. For a given semantically important block in an image, the perceptual hint provides the information on the minimum allowable spatial resolution reduction. The image transcoding algorithm that is basically a content adaptation process selects the best image representation to meet the client capabilities while delivering the largest content value. The content value is defined as a quantitative measure of the information on importance and spatial resolution for the transcoded version of an image. Experimental results demonstrate a feasibility of the proposed scheme with a variety of client devices having different display sizes.

Original languageEnglish
Number of pages4
Publication statusPublished - 2001
EventIEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece
Duration: 2001 Oct 72001 Oct 10


OtherIEEE International Conference on Image Processing (ICIP)

ASJC Scopus subject areas

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


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