Cited by 150Video Coding and Compression TechnologiesAdvanced Data Compression TechniquesImage and Video Quality Assessment

Transcoder architectures for video coding

Bjork, N., Christopoulos, C.·1998·IEEE Transactions on Consumer Electronics

Abstract

This paper discusses the problem of transcoding H.263-based video streams. Two different models for transcoding are examined, rate reduction and resolution reduction. Results show that the computational complexity of the basic transcoding model can be reduced for each model by, on average, 39% and 23% without significant lose in quality. Comparisons with the scaleable coding model are also shown.

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Crossref · 10.1109/30.663734

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References 7 · Cited by 150

Authors
Bjork, N., & Christopoulos, C.
Affiliations
Ericsson (Sweden) (SE)
Venue
IEEE Transactions on Consumer Electronics
Published
1998
Volume
44
Issue
1
Pages
88-98
ISSN
0098-3063 (ISSN-L)
OpenAlex
W2000223636
Cited by
150
References
7
Citations by year
2025: 2 · 2022: 1 · 2021: 4 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 3 · 2015: 1 · 2014: 4 · 2013: 6 · 2012: 7
FWCI
6.71
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Consumer Electronics (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Signal Processing › Video Coding and Compression Technologies
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Data Compression Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Video Quality Assessment
Keywords
video transcoding, H.263, rate reduction, resolution reduction, scalable video coding, computational complexity reduction

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