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This paper proposes a data bandwidth-oriented motion estimation design for resource-limited mobile video applications using an integrated bandwidth rate distortion optimization framework. This framework predicts and allocates the appropriate data bandwidth for motion estimation under a limited bandwidth supply to fit a dynamically changing bandwidth supply. The simulation results show that our proposed algorithm can achieve 66% and 41% memory bandwidth savings while maintaining an equivalent rate-distortion performance and meeting real-time targets, when compared with conventional approaches for low-motion and high-motion D1 (704 × 576)-size video, respectively. The final implementation costs 122 K gate counts with TSMC 0.13-μ m CMOS technology and consumes 74 mW of power for D1 resolution at 30 frames/s which is 40% of that achieved in previous designs.