MAPS: A new and efficient block-matching criterion for motion estimation

Ming Der Shieh, Ming Hwa Sheu, Yu Chin Hsu

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, a novel and efficient block-matching criterion called mean absolute error of projective sum (MAPS) is proposed to significantly reduce the computational complexity of block-based motion estimation. It can save about 78% computational load in comparison with that of the conventional mean absolute difference (MAD). Simulation results show that its prediction quality is close to the MAD's. By applying the partitioning technique in MAPS, the prediction quality can be further improved such that the proposed criterion can be applied in different applications for motion estimation. Further, according to its simple and regular properties, it is very suitable for VLSI implementation.

Original languageEnglish
Pages1393-1396
Number of pages4
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3) - Ames, IA, USA
Duration: 1996 Aug 181996 Aug 21

Other

OtherProceedings of the 1996 IEEE 39th Midwest Symposium on Circuits & Systems. Part 3 (of 3)
CityAmes, IA, USA
Period96-08-1896-08-21

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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