Category: Journal Papers
A Computational Memory Architecture for MPEG-4 Applications with Mobile Devices
This paper presents a Computational Memory architecture for MPEG-4 applications with mobile devices. The proposed architecture is used for real-time block-based motion estimation, which is the most computational intensive task in the video encoder. It uses the exhaustive block-matching algorithm (EBMA) for motion estimation. The proposed architecture consists of embedded SRAMs and a number of block-matching units working in parallel to process video data while stored in the memory. The block-matching units access the embedded SRAMs simultaneously, which increases the speed of the architecture.
The architecture processes CIF format video sequences (i.e., the frame size is 352 × 288 pixels) with block size of 16 × 16 pixels and ±15 pixels search range. The proposed architecture has been designed, prototyped, and simulated for 0.18 μm TSMC CMOS technology. The simulation shows that the proposed architectures processes up to 126 CIF frames per second with clock frequency 100 MHz. The synthesized prototype of the proposed architecture includes 200 KB memory and it has an area of 33.75 mm2 and consumes 986.96 mW @100 MHz.
Mohammed Sayed , Wael Badawy, “A Computational Memory Architecture for MPEG-4 Applications with Mobile Devices,” Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology – Special Issue on Digital and Computational Video , Vol. 42, No. 1, pp. 35-42, January 2006.
An Affine Based Algorithm and SIMD Architecture for Video Compression with Low Bit-rate Applications
This paper presents a new affine-based algorithm and SIMD architecture for video compression with low bit rate applications. The proposed algorithm is used for mesh-based motion estimation and it is named mesh-based square-matching algorithm (MB-SMA). The MB-SMA is a simplified version of the hexagonal matching algorithm [1]. In this algorithm, right-angled triangular mesh is used to benefit from a multiplication free algorithm presented in [2] for computing the affine parameters. The proposed algorithm has lower computational cost than the hexagonal matching algorithm while it produces almost the same peak signal-to-noise ratio (PSNR) values. The MB-SMA outperforms the commonly used motion estimation algorithms in terms of computational cost, efficiency and video quality (i.e., PSNR). The MB-SMA is implemented using an SIMD architecture in which a large number of processing elements has been embedded with SRAM blocks to utilize the large internal memory bandwidth. The proposed architecture needs 26.9 ms to process one CIF video frame. Therefore, it can process 37 CIF frames/s. The proposed architecture has been prototyped using Taiwan Semiconductor Manufacturing Company (TSMC) 0.18-μm CMOS technology and the embedded SRAMs have been generated using Virage Logic memory compiler.
Published in:
Circuits and Systems for Video Technology, IEEE Transactions on (Volume:16 , Issue: 4 )
- Page(s):
- 457 – 471
- ISSN :
- 1051-8215
- INSPEC Accession Number:
- 8891917
- DOI:
- 10.1109/TCSVT.2006.872780
- Date of Publication :
- April 2006
- Date of Current Version :
- 01 May 2006
- Issue Date :
- April 2006
- Sponsored by :
- IEEE Circuits and Systems Society
- Publisher:
- IEEE
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Mohammed Sayed , Wael Badawy, “An Affine Based Algorithm and SIMD Architecture for Video Compression with Low Bit-rate Applications“, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 16, Issue 4, pp. 457-471, April 2006. Abstract