A Sub-mW H.264 Baseline-Profile Motion Estimation Processor Core with a VLSI-Oriented Block Partitioning Strategy and SIMD/Systolic-Array Architecture

نویسندگان

  • Junichi Miyakoshi
  • Yuichiro Murachi
  • Tetsuro Matsuno
  • Masaki Hamamoto
  • Takahiro Iinuma
  • Tomokazu Ishihara
  • Hiroshi Kawaguchi
  • Masayuki Miyama
  • Masahiko Yoshimoto
چکیده

We propose a sub-mW H.264 baseline-profile motion estimation processor for portable video applications. It features a VLSIoriented block partitioning strategy and low-power SIMD/systolic-array datapath architecture, where the datapath can be switched between an SIMD and systolic array depending on processing flow. The processor supports all the seven kinds of block modes, and can handle three reference frames for a CIF (352 × 288) 30-fps to QCIF (176 × 144) 15-fps sequences with a quarter-pixel accuracy. It integrates 3.3 million transistors, and occupies 2.8×3.1 mm2 in a 130-nm CMOS technology. The proposed processor achieves a power of 800 μW in a QCIF 15-fps sequence with one reference picture. key words: low power, motion estimation, H.264, SIMD, systolic array

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Sub 100 mW H.264 [email protected] Integer-Pel Motion Estimation Processor Core for MBAFF Encoding with Reconfigurable Ring-Connected Systolic Array and Segmentation-Free, Rectangle-Access Search-Window Buffer

PAPER Special Section on Advanced Technologies in Digital LSIs and Memories A Sub 100 mW H.264 [email protected] Integer-Pel Motion Estimation Processor Core for MBAFF Encoding with Reconfigurable Ring-Connected Systolic Array and Segmentation-Free, Rectangle-Access Search-Window Buffer Yuichiro MURACHI†a), Junichi MIYAKOSHI†, Members, Masaki HAMAMOTO†, Takahiro IINUMA†, Tomokazu ISHIHARA†, Fang YIN†, Ja...

متن کامل

A Low-Power Systolic Array Architecture for Block-Matching Motion Estimation

This paper proposes a low-power systolic array architecture for a block-matching motion estimation processor IP for portable and high-resolution video applications. The architecture features a ringconnected processing element (PE) array to reduce both computation cycles and memory access cycles at the same time, allowing lower power characteristics. The feature of low memory access cycles allow...

متن کامل

An Efficient VLSI Computation Reduction Scheme in H.264/AVC Motion Estimation

The variable block sizes motion estimation in H.264 is key technique to remove inter-frame redundancy. This technique not only requires huge memory bandwidth but also its computation complexity is higher. Therefore, this paper proposes one efficient sub-pixel search algorithm for reducing computation complexity and bandwidth utilization, and a novel VLSI architecture for this algorithm which si...

متن کامل

An efficient VLSI processor chip for variable block size integer motion estimation in H.264/AVC

Motion estimation (ME) is the most critical component of a video coding standard. H.264/AVC adopts the variable block size motion estimation (VBSME) to obtain excellent coding efficiency, but the high computational complexity makes design difficult. This paper presents an effective processor chip for integer motion estimation (IME) in H264/AVC based on the full-search block-matching algorithm (...

متن کامل

An Energy-efficient Parallel H.264/AVC Baseline Encoder on a Fine-grained Many-core System

The emerging many-core architecture provides a flexible solution for the rapid evolving multimedia applications demanding both high performance and high energy-efficiency. However, developing parallel multimedia applications that can efficiently harness and utilize manycore architectures is the key challenge for scalable computing. We contribute to this challenge by presenting a fully-parallel ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • IEICE Transactions

دوره 89-A  شماره 

صفحات  -

تاریخ انتشار 2006