A new embedded hardware architecture for global motion estimation in MPEG4

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Global motion estimation (GME) is one of the key modules in MPEG-4 Advanced Simple Profile (ASP). In this paper, a hardware-oriented GME algorithm is proposed, which is a combination of feature-points extraction and tracking algorithms using gradient methods. Our approach improves existing state-of-the-art GME algorithms by introducing two major modifications: first, only a small subset of the original image pixels is used in the estimation process. Second, a new associated parallel hardware architecture is proposed. It combines a Content Addressable Memory (CAM) and Digital Signal Processor chips. Experimental results show that the performance of the proposed hardware architecture can achieve the requirements of MPEG-4 with 4 CAMs and 1 DSP at 40 MHz working frequency.

Original languageBritish English
Pages59-62
Number of pages4
StatePublished - 2004
Event16th International Conference on Microelectronics, ICM 2004 - Tunis, Tunisia
Duration: 6 Dec 20048 Dec 2004

Conference

Conference16th International Conference on Microelectronics, ICM 2004
Country/TerritoryTunisia
CityTunis
Period6/12/048/12/04

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