An H.264/SVC memory architecture supporting spatial and course-grained quality scalabilities

Niranjan D. Narvekar, Bharatan Konnanath, Shalin Mehta, Santosh Chintalapati, Ismail AlKamal, Chaitali Chakrabarti, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The standardized Scalable Video Coding (SVC) extension of H.264/AVC achieves significant improvements in coding efficiency relative to the scalable profiles of prior video coding standards, but its computational complexity and memory access requirements make the design of a low power hardware architecture a challenging task. This paper presents an SVC decoder architecture supporting spatial and coarse-grained quality scalability. The architecture optimizes the size of the on-chip memory and reduces the powerconsuming and time-intensive external memory accesses.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages2661-2664
Number of pages4
ISBN (Print)9781424456543
DOIs
StatePublished - Jan 1 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: Nov 7 2009Nov 10 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period11/7/0911/10/09

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Keywords

  • CGS
  • Decoder architecture
  • H.264/AVC
  • Scalable Video Coding (SVC)

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Narvekar, N. D., Konnanath, B., Mehta, S., Chintalapati, S., AlKamal, I., Chakrabarti, C., & Karam, L. (2009). An H.264/SVC memory architecture supporting spatial and course-grained quality scalabilities. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 2661-2664). [5414130] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5414130