Object-oriented approach to video coding via the CNN universal machine

Andre Stoffels, Tamas Roska, Leon O. Chua

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

The CNN Universal Machine is applied to object-oriented image compression algorithms and proves its universality as a hardware platform for future applications. The estimated processing times allow a real-time analysis of the video sequence and outdo the performances reported for comparable digital devices.

Original languageEnglish
Pages13-18
Number of pages6
Publication statusPublished - Dec 1 1996
EventProceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96 - Seville, Spain
Duration: Jun 24 1996Jun 26 1996

Other

OtherProceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96
CitySeville, Spain
Period6/24/966/26/96

ASJC Scopus subject areas

  • Software

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  • Cite this

    Stoffels, A., Roska, T., & Chua, L. O. (1996). Object-oriented approach to video coding via the CNN universal machine. 13-18. Paper presented at Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96, Seville, Spain, .