Distortion estimates for adaptive temporal decompositions of video under displacement errors and quantization noise

Fabio Verdicchio, Yiannis Andreopoulos

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In video communication systems, due to quantization and transmission errors, mismatches between the transmitter- and receiver-side information may occur, severely impacting the reconstructed video. Theoretical understanding of the quality degradation ensuing from such mismatches is essential when targeting quality-of-service for video communications. In this paper, by viewing the mismatches in the transform coefficients and the adaptive parameters of the temporal analysis of a video coding system as perturbations in the synthesis system, we derive analytic approximations for the expected reconstruction distortion. Our theoretical results are experimentally assessed using adaptive temporal decompositions within a video coding system based on motion-adaptive temporal lifting decomposition. Since we focus on the generic case of adaptive lifting transforms, our results can provide useful insights for estimation-theoretic resiliency mechanisms to be considered within standardized transform-based codecs.
Original languageEnglish
Title of host publicationIEEE IPIC2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing (ICIP 2011)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages3701-3704
Number of pages4
ISBN (Electronic)978-1-4577-1302-6
ISBN (Print)978-1-4577-1304-0
DOIs
Publication statusPublished - Sep 2011
EventIEEE International Conference on Image Processing - Brussels, Belgium
Duration: 11 Sep 201114 Sep 2011

Conference

ConferenceIEEE International Conference on Image Processing
CountryBelgium
CityBrussels
Period11/09/1114/09/11

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  • Cite this

    Verdicchio, F., & Andreopoulos, Y. (2011). Distortion estimates for adaptive temporal decompositions of video under displacement errors and quantization noise. In IEEE IPIC2011: 2011 18th IEEE International Conference on Image Processing (ICIP 2011) (pp. 3701-3704). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2011.6116524