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Design and implementation of an object-based video coder chip set based on syntactic pattern recognition

  • SUNY Buffalo

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents the design and partial implementation of a chip set for a new object-based video coding technique. The hardware algorithm uses unsupervised learning of image contents for efficient second-generation coding of video. Computational complexity is controlled by storing a minimum feature set, upon which higher level contents are defined. Numerical results for test video sequences are given.

Original languageEnglish
Pages (from-to)251-255
Number of pages5
JournalProceedings of the Annual IEEE International ASIC Conference and Exhibit
StatePublished - 1997
EventProceedings of the 1997 10th Annual IEEE International ASIC Conference and Exhibit - Portland, OR, USA
Duration: Sep 7 1997Sep 10 1997

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