Protection of regions of interest against data loss in a generalized multiple description framework

Agnieszka Miguel, Eve A. Riskin

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

A simple and efficient scheme for protecting a region of interest (ROI) in an image sent across generalized multiple description networks is presented. To increase the probability that the ROI is received with high quality, the unequal loss protection framework of MD-SPIHT is extended by adding more redundancy to the ROI than other parts of the image. Two cases are presented in which 3 out of 8 descriptions are received for 35% redundancy assignment. Without ROI scaling, redundancy is spread to all parts of the image and the quality of the ROI is low. When the ROI is scaled, redundancy is concentrated in the ROI and the quality of the received ROI is higher.

Original languageEnglish
Pages (from-to)562
Number of pages1
JournalData Compression Conference Proceedings
StatePublished - 2000
EventData Compression Conference - DDC 2000 - Snowbird, UT, USA
Duration: 28 Mar 200030 Mar 2000

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